Ai Engineers Inc Entry Level Entry Level Jobs in Usa
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You've done a ton of Leetcode.
You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand.
On paper, you're everything a tech company wants.
However tech stacks and requirement change every day.
Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k.
Synergisticit focuses on closing the gap between your tech skills and what employers want now.
Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S.
citizens are encouraged to apply.
Note: Internships, freelance, or personal projects will not be considered toward experience requirements.
If you submit your resume, please be advised it may be entered into a central database shared by our JOPP team (our placement program).
You may unsubscribe if you receive emails.
Check the links below: Please check the below links: SynergisticIT USA Today Article Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Top tech companies are flooded with smart grads.
What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom.
please check the below links Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Backend vs.
Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Is AI Going to Replace Software Programmers? | SynergisticIT The Market's Changed—Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
We are looking for a highly motivated AI Engineer to join our IT team. This role is ideal for someone passionate about building real-world AI solutions and eager to work across the full AI technology stack—from model integration and retrieval pipelines to agentic AI workflows, multi-agent orchestration, and application-level features used by business teams. You will also contribute to data engineering efforts that feed AI capabilities, working alongside a modern analytics platform built on Microsoft Fabric.
As an AI Engineer, you will help design, develop, and deploy AI capabilities. You will contribute to production-grade AI features in areas such as Open-to-Buy planning, Sales Forecasting, Intelligent Order Management Systems (OMS), Product Copy Generation, and Image Generation.
This is a unique opportunity to work on meaningful, high-impact AI initiatives while implementing modern AI infrastructure, LLMOps practices, and scalable system design.
This role will work from our Greenwich, CT office and report to the Senior Director of System Integration & Operation on our current hybrid schedule, 3 days in office and 2 days remote.
Key Responsibilities:
AI Application Development
Build and maintain AI-powered features including:
- Open-to-Buy optimization and inventory planning models
- Sales forecasting and demand prediction solutions
- Intelligent OMS features for routing, allocation, and automation
- Marketing AI tools such as product copy generation and AI-assisted image generation
Integrate custom and foundation LLMs into internal applications using API and SDK interfaces, leveraging structured outputs, function/tool calling, and prompt caching to optimize reliability and cost.
RAG, GraphRAG, + Vector DB Engineering
- Develop retrieval pipelines using vector embeddings and similarity search (Azure AI Search, FAISS, Pinecone, or equivalent).
- Implement chunking, embedding, indexing, query routing, and relevance-tuning strategies, including advanced reranking and hybrid search techniques.
- Maintain a high-quality knowledge base to support AI features via Retrieval-Augmented Generation.
- Explore and implement GraphRAG patterns to improve knowledge retrieval over structured enterprise data and entity relationships.
AI Agents & Orchestration
- Design and build AI agents capable of planning, tool use, and multi-step reasoning using frameworks such as LangGraph, PydanticAI, CrewAI, or Google ADK.
- Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integrations to connect AI agents with internal tools, APIs, data systems, and other agents in a standardized, interoperable way.
- Build guardrails, evaluation frameworks, and human-in-the-loop checkpoints to ensure reliable and safe agent behavior in production.
AI Infrastructure & System Architecture
- Maintain private cloud LLM instance landscape, ensuring secure and efficient usage.
- Assist in deploying scalable inference pipelines, batching, and caching layers.
- Collaborate with DevOps and Data Engineering on CI/CD, model deployment workflows, monitoring, and integration with the Microsoft Fabric data platform (including Fabric MCP for agent-to-data connectivity).
Data Engineering, Pipelines & Model Training
- Clean, transform, and prepare datasets for ML/AI pipelines; contribute to data engineering workflows including ELT pipeline design, medallion architecture patterns, and data transformation within the Lakehouse layer.
- Train, validate, and fine-tune models where appropriate (LLMs, forecasting models, classification models, etc.); familiar with parameter-efficient techniques such as LoRA and QLoRA.
- Evaluate model performance and optimize latency, accuracy, and cost using LLM evaluation and observability frameworks (e.g., RAGAS, LangSmith, Langfuse, Helicone, or custom evals); manage prompt versioning and regression testing.
Required Qualifications:
- Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
- Strong foundations in Python, data structures, and machine learning concepts.
- Comfortable working with LLM APIs, embeddings, vector databases, and RAG patterns; exposure to agentic patterns, tool use, and GraphRAG concepts is a strong plus.
- Familiarity with cloud environments (Azure preferred; AWS or GCP also acceptable).
- Understanding of systems diagrams, architecture patterns, and AI infrastructure components.
- Exposure to SQL/NoSQL databases.
- Exposure to data engineering concepts such as ELT/ETL pipelines, data transformation, and data modeling.
- Awareness of responsible AI principles including bias detection, fairness, and model interpretability.
- Awareness of AI agent frameworks and orchestration concepts (e.g., LangGraph, PydanticAI, Semantic Kernel, CrewAI, or Google ADK).
- Familiarity with prompt engineering best practices including chain-of-thought, few-shot prompting, and structured output design.
Preferred Qualifications:
- Familiarity with Microsoft Fabric (OneLake, Lakehouse, Spark notebooks, semantic models) and Power BI; experience with Fabric MCP integrations is a strong differentiator.
- Experience implementing MCP (Model Context Protocol) servers or A2A (Agent-to-Agent) protocol endpoints, or integrating AI agents with external tools and APIs.
- Exposure to multimodal AI capabilities (vision-language models) for applications such as product image analysis or document understanding.
- Experience building small AI apps, demos, or tools—portfolio/GitHub encouraged.
What you'll Gain:
- Hands-on impact in designing enterprise AI capabilities from the ground up.
- Opportunities to work with cutting-edge LLM technologies in a private, secure environment, alongside a modern Microsoft Fabric data platform.
- A chance to shape AI products used across supply chain, marketing, and e-commerce.
Company Overview:
Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.
Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.
Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.
About Wakefern
Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.
Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.
The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.
Essential Functions
- Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
- Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
- Provide input for project plans and timelines to align with business objectives.
- Monitor project progress, identify risks, and implement mitigation strategies.
- Work with cross-functional teams and ensure effective communication and collaboration.
- Provide regular updates to the management team.
- Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
- Communicates and promotes the code of ethics and business conduct.
- Ensures completion of required company compliance training programs.
- Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
- Stays current through personal development and professional and industry organizations.
Responsibilities
- Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
- Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
- Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
- Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
- Ensure data solutions and data sources meet quality, security, and compliance standards.
- Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
- Provide technical training, documentation, and ongoing support to end users of data automation systems.
- Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.
Qualifications
- A bachelor's degree or higher in computer science, information systems, or a related field.
- Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
- Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
- Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
- Experience with workflow orchestration tools such as Cloud Composer or Airflow
- Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
- Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
- Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
- Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
- Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
- Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
- Hands-on experience with IBM DataStage and Alteryx is a plus.
- Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
- Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
- Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
- Familiarity with data modeling tools.
- Familiarity with DevOps practices for data (CI/CD pipelines)
- Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
- Familiarity with DevOps practices for data (CI/CD pipelines)
- Strong knowledge and skills in data management, data quality, and data governance.
- Strong communication, collaboration, and problem-solving skills.
- Ability to work on multiple projects and prioritize tasks effectively.
- Ability to work independently and in a team environment.
- Ability to learn new technologies and tools quickly.
- The ability to handle stressful situations.
- Highly developed business acuity and acumen.
- Strong critical thinking and decision-making skills.
Working Conditions & Physical Demands
This position requires in-person office presence at least 4x a week.
Compensation and Benefits
The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.
Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.
Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements
Most resumes never reach a hiring manager.
They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives.
That's why "I applied a lot” often leads to silence.
The fix is not more applications.
The fix is improving what your application communicates in the first 10 seconds.
Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more.
Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage.
Our purpose is to align your skills and profile with what employers are hiring for right now—so you get responses, interviews, and offers.
Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?”) You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile.
preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.
Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers.
The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI.
This breadth matters because today's employers value candidates who can handle more than one layer of the system.
Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role.
SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): If recruiters aren't responding, it's not the end—it's feedback.
And you can fix it with the right plan.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now.
In today's market, employers expect more than a degree or a few tutorial projects.
They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use.
That's exactly what SynergisticIT solves—because the real challenge isn't learning in isolation.
The real challenge is translating learning into interviews and offers.
Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset.
The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove.
Here's the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.
That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
What roles are in demand right now? A lot of jobseekers assume they must become "AI experts” overnight.
Not true.
Many companies are actively hiring professionals in core roles that run modern software teams.
In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer.
In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.
Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.
SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): You don't need more random applications.
You need a job-ready plan.
Start smarter—start with the right support.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Python AI Engineer (Prompt & Agentic Systems)
Location: Hybrid –Atlanta, GA (3 days a week onsite)
Client: Retail client
About the Role
We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.
Key Responsibilities
- Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.
- Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.
- Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.
- RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.
- Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.
- API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.
- MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.
- Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.
- Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.
Required Qualifications
- Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).
- Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.
- Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).
- Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).
- Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.
- Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.
- Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.
- Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).
Nice to Have
- Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.
- Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.
- Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.
- Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).
- Background in LLM finetuning, RLHF/DPO, or synthetic data generation.
- Front-end basics for AI UX (React/Next.js) or chat UI patterns.
- Domain knowledge in HR/ATS, customer support, or internal enterprise workflows.
If you've been unemployed for 3–6+ months—or longer—you've probably seen how quickly the market can change.
A career gap or an outdated tech stack can reduce callbacks, even when you have talent.
Recruiters may assume your skills are outdated or your confidence is lower.
But gaps don't define ability.
They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure.
Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client, and more—often with offers between $90,000 and $154,000 depending on role and expertise.
Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness.
JOPP helps you rebuild that proof and confidence systematically.
Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer.
The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Why programs don't fix gaps Many candidates with gaps try "one more course,” but that rarely changes outcomes.
Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers).
Want to see credibility and event participation? If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us: A gap isn't the end of your career.
It's a chapter—and you can write the next one strategically.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
It's a Tech stack Problem.
If you're getting interviews but not offers, you're closer than you think—and that's the most frustrating stage to be in.
You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs.
Most candidates don't fail because they're "not smart.” They fail because they prepared the wrong way—watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals.
SynergisticIT's approach is built for this exact scenario.
Since 2010, SynergisticIT has helped candidates move from "almost” to "offer,” with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack.
Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more.
SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.
The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI.
Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end” thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways.
SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer).
Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round” without the offer, stop guessing and start preparing with a plan.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
It's also one of the most fixable—because interview performance is rarely about intelligence.
It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test.
Many candidates learn coding, but they don't learn how to present their skills under pressure.
SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework.
Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth.
The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear.
Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why”) Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport.
You don't just watch videos; you practice real drills.
We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work.
What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer.
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates.
Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path.
SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think.
Now it's time to train like you mean it—and turn interviews into offers.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
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Build a Career That Matters with One of the World's Most Respected Employers!
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This opportunity is near Anderson, SC in the community of Starr.Come join our team at Michelin's modern and growing rubber manufacturing plant. Our innovative teams produce rubber for ultra-high performance, passengercar, lighttruck, and mining tires with the newest technology and materials, then send to tire-building plants all over North America.
THE OPPORTUNITY
Michelin has an immediate opening for anIndustrial Engineerwho will lead and run continuous improvement in productivity and innovation in areas that range from specific work posts to transverse processes. Michelin's purpose is to supporteveryone'sright to move freely to findtheirbetter way forward. Our continuous improvement stimulates innovation and allows us to manufacture locally, which inturn,strengthens the local communities. Entry level training is provided by Michelin and will include formal classes and on-the-job mentoring under an expert area guide.If respect for people, teamwork and trust are some values you live by you should consider joining us, the Worldwide leader in Tires!
WHAT WILL YOU DO
Develop, implement, and improve manufacturing processes, tools, equipment, and work activities, to meet and exceed the company's safety, quality, delivery, and costobjectivesby leading improvement projects andfacilitatingKaizen/Lean events.
Analyze and challenge existing procedures in areas of responsibility throughout the facilities, making recommendations, and working with the operational management to integrate solutions to improve the process.
Make operational teams to be more autonomous about leading their progress by increasing the teams' skills in organizational change, project management, and employee engagement.
Build digital tools and dashboards (OSiSoftPi, MicroStrategy, Power Bi).thatbrings value for operational teams in getting results andeliminatewasted time and effort.
Support Capital Projects as an integral team member in providing analysis to support optimized layout, flow, machine cycle, and staffing for new equipment and processes.
Lead and support industry innovation initiatives thatinspiresuch as Automatic Guided Vehicles, robotics, automation to simplify work, improve productivity and ergonomics, and reduce complexity.
Additionalresponsibilities include facility workforce planning, productivity planning, machine capacity analysis, process effectiveness analysis, project management, expansion needs analysis, material flow analysis, developing andmaintainingengineered time standards, value stream mapping, processflowand line balancing.
WHAT WILL YOU BRING
Demonstrated experience in leading a team or project group by setting clear goals, delegating tasks effectively, providing regular feedback/coaching, leading by example, and fostering a positive work environment. Military service (Junior Military Officer or Senior Non-Commission Officer) a plus.
Minimum of 1 to 3 years of industrial, manufacturing, maintenance, engineering, project, or related technical experience. For Entry Level, this can include internship, Co-op, apprentices, military service, or similar programs.
BS in Industrial Engineering, Chemical Engineering, Mechanical Engineering, or equivalent technical major is preferred.
Ability to influence and negotiate with others both in verbal and written forms.
Ability to set and achieve goals with minimum supervision.
Success in working with other people orteamto meet a commonobjective.
Good interpersonal skills to show appreciation, use empathy to understand, resolve disputes professionally, and to practice active listening skills.
Developed and implemented project plans that met or exceeded expectations.
Microsoft OfficeExceldata analysisproficiency.MicrosoftPowerBI isa plus.
Validated use of computer skills including experience with digital tools like MicroStrategy, Power BI,PIand PowerApps.
Demonstrated project management skills in implementing process improvement projects.
#LI-HIRINGMICHELIN #LI-SB1
Ready to Shape the Future of Innovation?
Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.
The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.
Why Michelin?
Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.
Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Connected Communities.
Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.
Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.
Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at .
This position is not available for immigration sponsorship.
We build the future with people like you. Begin your career with Michelin today!
