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Hi
I hope you’re doing well.
My name is Sai, and I’m an Account Manager with Astir IT Solutions. We are currently working with our client on a senior-level opportunity for Agentic AI QA Engineer at Dallas, TX (Need Locals)!
Based on your background, I believe this role could be a strong fit.
Job Title: Agentic AI QA Engineer
Location: Dallas, TX (Need Locals)
Experience: 7+ years
Position type: Contract W2/C2C
Required Qualifications
• 7+ years in Software QA/Testing, with 2+ years in AI/ML or LLM-based systems; hands-on experience testing agentic/multi-agent architectures.
• Strong programming skills in Python or TypeScript/JavaScript; experience building test harnesses, simulators, and fixtures.
• Experience with LLM evaluation (exact/soft match, BLEU/ROUGE, BERTScore, semantic similarity via embeddings), guardrails, and prompt testing.
• Expertise in distributed systems testing latency profiling, resiliency patterns (circuit breakers, retries), chaos engineering, and message queues.
• Familiarity with orchestration frameworks (LangChain, LangGraph, LlamaIndex, DSPy, OpenAI Assistants/Actions, Azure OpenAI orchestration, or similar).
• Proficiency with CI/CD (GitHub Actions/Azure DevOps), observability (OpenTelemetry, Prometheus/Grafana, Datadog), and feature flags/canaries.
• Solid understanding of privacy/security/compliance in AI systems (PII handling, content policies, model safety).
• Excellent communication and leadership skills; proven ability to work cross-functionally with Ops, Data, and Engineering.
Preferred Qualifications
• Experience with multi-agent simulators, agent graph testing, and tooling latency emulation.
• Knowledge of MLOps (model versioning, datasets, evaluation pipelines) and A/B experimentation for LLMs.
• Background in cloud (AWS), serverless, containerization, and event-driven architectures.
- Prior ownership of cost/latency/SLAs for AI workloads in production
If you are currently open to new opportunities, I would appreciate the chance to connect and discuss this role in more detail. Please let me know a convenient time for a quick call, or feel free to share your updated resume.
Looking forward to hearing from you.
Thanks & Regards.
Sai
Sr. Account Manager
Astir IT Solutions, Inc.
ID: , Contact: 732-694-6000 * 795
Compensation
$170k-$225k
0.17%-1.04%
TLDR
We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.
Our Market
The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.
Over 50% of critical prescriptions are abandoned due to:
- Cost barriers: Patients with high copays are 5x more likely to abandon treatment
- Insurance maze: Complex prior authorizations block access
- Logistical challenges: Coordinating medical visits for treatments
Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.
Why Join?
- Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
- Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
- Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
- Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
- Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
Required Skills
Technical skills:
- Proficiency with Node, Typescript, and Python.
- Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
- Experience in API design, implementation, and documentation
- Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
- Experience working with CI/CD systems and good DevOps skills a nice to have
- Excellent documentation and testing habits
- Proficiency with version control (Git)
Soft skills:
- 10x mindset - you’ll be among the first engineering hires!
- You are a fun human!
- Good time management and planning skills
Experience
4-7 years of experience (or equivalent) as a software engineer.
We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.
- You are able to work with the rest of the team to:
- Define priorities
- Suggest good solutions
- Excel at implementation
- You pick up concepts quickly, pattern match on past problems.
- You are obsessed with speed and quality, and help embed that quality into the rest of the team.
- You are self-directed, and do not need help organizing / prioritizing your time.
Specific project experience
- Nice if you have worked on distributed architectures in the past, but not a strict requirement.
- You must have experience working on projects touching many parts of a large codebase.
Compensation
$170k-$225k
0.17%-1.04%
TLDR
We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.
Our Market
The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.
Over 50% of critical prescriptions are abandoned due to:
- Cost barriers: Patients with high copays are 5x more likely to abandon treatment
- Insurance maze: Complex prior authorizations block access
- Logistical challenges: Coordinating medical visits for treatments
Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.
Why Join?
- Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
- Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
- Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
- Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
- Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
Required Skills
Technical skills:
- Proficiency with Node, Typescript, and Python.
- Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
- Experience in API design, implementation, and documentation
- Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
- Experience working with CI/CD systems and good DevOps skills a nice to have
- Excellent documentation and testing habits
- Proficiency with version control (Git)
Soft skills:
- 10x mindset - you’ll be among the first engineering hires!
- You are a fun human!
- Good time management and planning skills
Experience
4-7 years of experience (or equivalent) as a software engineer.
We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.
- You are able to work with the rest of the team to:
- Define priorities
- Suggest good solutions
- Excel at implementation
- You pick up concepts quickly, pattern match on past problems.
- You are obsessed with speed and quality, and help embed that quality into the rest of the team.
- You are self-directed, and do not need help organizing / prioritizing your time.
Specific project experience
- Nice if you have worked on distributed architectures in the past, but not a strict requirement.
- You must have experience working on projects touching many parts of a large codebase.
Title: Full Stack Developer with AI
Duration: 12 Months+
Location: Spring, TX
Type: Onsite
We are seeking a Full Stack Developer who will contribute to building scalable backend services including platform and utility modules application. You will also play an active role in implementing GenAI use cases using modern agentic frameworks.
You will collaborate with product owner, trading fusion developers, data engineers, and other full stack developers across regions.
Responsibilities?:?
- Platform Engineering & Support
- Develop, enhance, and support components of the Global Trading App platform
- Implement monitoring, alerting, and telemetry capabilities using modern observability tools
- Improve platform reliability, scalability, and performance through proactive engineering
- Author infrastructure-as-code using Terraform for cloud resources
Application & Service Development
- Build secure and scalable backend APIs (primarily in Python / FastAPI)
- Create responsive and efficient React-based UI components
- Develop reusable utility modules for fusion teams to accelerate delivery
GenAI & Agentic Solutions
- Implement GenAI-powered features using LLMs, vector databases, and multi-agent frameworks
- Develop "agentic" workflows for automation, troubleshooting, and developer productivity
- Build model integration and evaluation
Collaboration & Standards
- Contribute to engineering best practices and documentation
- Work closely with global trading fusion teams to ensure alignment and technical excellence
Qualifications?:
- Python (advanced): APIs, data processing, async programming
- React: modern component-based UI development
- FastAPI: building high performance backend services
- DBT: data engineering and transformation
- GitHub/CI/CD: strong version control and build pipeline experience
Preferred Skills:
- Terraform, Azure, AWS: infrastructure provisioning and automation
- Databricks, Snowflake
- GenAI / Multi-Agent
- Experience implementing solutions using LLMs, embeddings, prompt engineering
- Familiarity with agentic coding frameworks (e.g., LangChain, AutoGen, OpenAI agents, etc.)
- Understanding of RAG, model orchestration, and AI application patterns
Soft Skills:
- Strong problem-solving skills and ownership mindset
- Ability to work in global, cross-functional teams
- Clear communication and documentation abilities
- Comfort operating in fast-paced, high-availability environments
- Adaptability and willingness to learn new technologies and methodologies
Salary: $150,000
- $175,000 per year A bit about us: Based in Orange County, we are a retail technology company filled with talented people relentlessly driven to revolutionize the online shopping experience.
We are the fastest growing Brand Integrity, Where-to-Buy and data services innovator, providing unmatched insights into online consumer purchasing behaviors around the globe.
We are looking for an Engineering Team Lead with strong infrastructure skills, and deep expertise in big data, and AI/ML experience.
Why join us? Hybrid/Remote Schedule Free Food and Snacks! Relaxed Dress Code! Accelerated Career Growth! Job Details We are on the hunt for a dynamic AI Engineering Team Lead who can lead a team of Engineers to design and implement cutting-edge AI solutions.
This role will be pivotal in shaping the technical strategy for AI/ML and data processing initiatives.
The ideal candidate will have a strong background in AI/ML development and large-scale data processing systems.
This is a permanent position in our technology department, where you will work closely with our data scientists and engineers to develop and deploy advanced AI models and data-driven solutions.
Responsibilities: 1.
Lead a team of AI engineers to design and implement innovative AI/ML solutions.
2.
Develop a technical strategy for AI/ML and data processing initiatives.
3.
Design and build large-scale data processing systems.
4.
Use TensorFlow, PyTorch, and langChain for AI/ML development.
5.
Design data processing systems and work with data transformation tools, automated data pipelines, and backend services.
6.
Develop software using Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
7.
Work with GCP BigQuery, Spark, Databricks, and Snowflake for big data processing.
8.
Manage software projects from inception to deployment, ensuring timely delivery and quality.
9.
Collaborate with other teams and stakeholders to understand their needs and translate them into technical requirements.
10.
Stay up-to-date with the latest advancements in AI/ML and data processing technologies and methodologies.
Qualifications: 1.
5+ years of experience in AI/ML development.
2.
5+ years of experience in big data processing.
3.
2+ years of experience in a leadership role.
4.
Proficiency with TensorFlow, PyTorch, and langChain.
5.
Experience with large-scale data processing systems design.
6.
Experience with data transformation tools, automated data pipelines, and backend services.
7.
Proficiency with Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
8.
Experience with GCP BigQuery, Spark, Databricks, and Snowflake.
9.
Strong background in software development, Software Engineering, and Software Project Management.
10.
Excellent leadership and team management skills.
11.
Strong problem-solving skills and the ability to think strategically.
12.
Excellent communication and interpersonal skills.
13.
Bachelor's degree in Computer Science, Engineering, or a related field.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $100,000
- $150,000 per year A bit about us: We are a startup based out of Los Angeles with a focus on AI for attorneys.
This is an exciting product that will change the way attorneys practice.
Be a part of revolutionary change in AI today! Why join us? HUGE Opportunity for growth Base salary + Equity Team events Lunch, gym membership, Fun Fridays Flexible schedule Job Details Job Details: We are on the hunt for a passionate, innovative Full Stack AI Engineer to join our startup.
This is a permanent, full-time position where you will be given the opportunity to shape the future of our company by working on cutting-edge technology projects.
You will play a crucial role in developing, building, and maintaining AI-driven products and services.
Responsibilities: As a Full Stack AI Engineer, you will be tasked with the following responsibilities: 1.
Design and build robust, scalable AI-driven products and services.
2.
Collaborate closely with cross-functional teams to understand the needs and translate them into functional and efficient software solutions.
3.
Develop high-quality code for the front-end and back-end components of our applications, with a focus on back-end.
4.
Contribute to the entire product lifecycle from concept to deployment.
5.
Maintain and improve existing codebases and peer review code changes.
6.
Leverage existing tools and libraries, suggesting new ones that can improve development efficiencies.
7.
Document development phases, monitor systems, and ensure the alignment of application components with design specifications.
8.
Participate in brainstorming sessions and contribute innovative and original ideas to our technology, algorithms, and product.
9.
Continuously learn about new programming languages, tools, and technologies that can help increase the performance and functionality of our applications.
Qualifications: To be successful in this role, you should have the following qualifications: 1.
A minimum of 1 year of experience as a Full Stack AI Engineer, or in a similar role.
2.
Proven experience in building and maintaining AI-driven products and services.
3.
Strong knowledge of AI, machine learning algorithms, and software development.
4.
Proficient in Rust and Python.
5.
Experience with front-end and back-end development 6.
Familiarity with GitHub and other version control systems.
7.
Solid understanding of hardware and product design principles.
8.
Excellent problem-solving skills, with a knack for complex challenges.
9.
Strong communication skills, with the ability to articulate complex technical concepts in a clear and concise manner.
10.
A degree in Computer Science, Engineering, or a related field would be a plus.
This is an exciting opportunity for a Full Stack AI Engineer to join a vibrant team and make a significant impact on our products and services.
If you are passionate about AI, eager to solve challenging problems, and want to work in a dynamic, fast-paced environment, we would love to hear from you.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Role: Java Solution engineer Architect
Skills: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)
Experience: 15 + Years
Location: Chicago
We are seeking a highly skilled and experienced Java Solution engineer Architect who brings more than traditional development capability—someone with a core engineering mindset, strong independent problem‑solving skills, and the ability to influence and uplevel an existing team. This role is central to our transformation journey to modernize legacy systems and move toward an autopilot engineering model. The ideal candidate is not an “order-taker” but a Better Engineer—someone who can diagnose issues, architect solutions, and drive modernization without needing step-by-step direction.
Job Description:
Tech Stack: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)
Transformation & Coaching
- Assessment & Roadmap Creation:
- Evaluate the current technology landscape, identify gaps, and shape the transformation roadmap for modernization.
- Culture Change Agent:
- Break entrenched “comfort zone” patterns across a team with 10+ year legacy experience.
- Mentor team members and interns on modern engineering practices, automation-first thinking, and cloud-native principles.
- AI Adoption Leader:
- Promote and operationalize the use of GitHub Copilot and other AI tools for:
- Unit test generation
- Code reviews & optimization
- Issue impact diagnosis
- Development efficiency
Technical Leadership & Delivery
- Self-Sufficient Execution:
- Build systems independently without needing detailed “how-to” instructions. Should naturally handle engineering essentials such as timeouts, retries, dead letter queues, error handling, and resiliency patterns.
- Hands-on Development:
- Write high‑quality Java code while enhancing CI/CD pipelines, improving automated testing, and increasing code coverage.
- Cloud & Infrastructure Ownership:
- Drive Azure-related engineering tasks including IAM, horizontal/vertical scaling, monitoring, and Infrastructure-as-Code (Terraform).
- Operate with a philosophy of application teams owning their infrastructure.
Operational Excellence
- Documentation & Knowledge Sharing:
- Transition knowledge from individuals to scalable, documented, and automated processes; establish best practices and engineering playbooks.
- Resiliency & Scalability Engineering:
- Architect broadly stable systems that minimize production issues and increase platform reliability.
Job Description:
This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
AT&T will not hire any applicants for this position who require employer sponsorship now or in the future.
Join AT&T and reimagine the communications and technologies that connect the world. The Chief Information Office is responsible for advancing information technology performance and delivering solutions with a focus on maximizing ROI, increasing efficiency and enhancing the experience of end users. Guided by experienced leaders, Corporate Systems seamlessly integrate with advanced Technology and Operations to drive our enterprise forward. Our Systems Reliability and Software Delivery teams are unwavering in their commitment to excellence, ensuring every solution is robust and efficient. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
What you’ll do:
The Release Manager oversees planning, scheduling, and deployment of software and infrastructure releases across the enterprise, ensuring seamless integration, minimal disruption, and alignment with organizational objectives. This role champions Agile, DevOps, CI/CD, and AI-enabled strategies to optimize release processes and enhance reliability. The Release Manager builds, owns, and manages a single calendar-of-record for all enterprise releases and changes across Applications, Infrastructure, Load Balancers, LAN/WAN, Mobility Core, DNS, HVA/HVD, Security, Data Center/Cloud, and Network Operations.
Key Responsibilities:
- Release Planning & Coordination: Develop and execute comprehensive release plans for software and infrastructure deployments. Align schedules across dependent systems and integrate Agile and DevOps principles into release trains.
- Risk & Issue Management: Use predictive analytics and AI-driven insights to identify, track, and mitigate risks. Proactively manage release-level jeopardies and determine optimal release paths.
- Enterprise-wide Release Calendar Management: Ensure proactive visibility, collision avoidance, and post-change learning across IT, Infrastructure, Network, and Operations to prevent service conflicts and outages.
- Deployment & Monitoring: Oversee end-to-end deployment activities using CI/CD pipelines and automation tools. Ensure rapid issue resolution to minimize downtime.
- Quality & Compliance: Maintain audit-ready, compliant release processes (e.g., SOX). Leverage metrics and analytics for continuous improvement.
- Stakeholder Communication: Provide transparent updates on release status, dependencies, and impacts. Segment communications for stakeholders and manage approvals and CAB agendas.
- AI-Enabled Release Management Strategy:
- Transition from fragmented, app-driven release practices to a mature enterprise model by embedding AI-powered capabilities such as predictive risk analysis, automated change validation, and intelligent scheduling across RM/CM solution areas.
- Mentoring; Drives Culture of Continuous Improvement
What you’ll need:
- Expert level Knowledge of SDLC for SAFe Agile and DevOps environments; best-in-class Release and Change Management framework and IT Service Management. Hands-on experience with Jira Align, Jira Cloud, JSM, GitHub, ServiceNow. Strong understanding of release/change lifecycle and Outage root cause analysis
- Data and AI Skillset: Advanced Data analytics, KPI metrics, and Prompt Engineering expertise; Guiding development of Agentic AI workflows and Gen AI use cases; Power BI; Python
- Governance and Communication: Establishing process framework, Implementing solutions and tools, Building standardized playbooks, and leading governance boards for ATS-wide implementation
What you’ll bring:
Required
- 7+ years in release management, software engineering, or related disciplines.
- ServiceNow certification is required (CAD, CSA, CIS).
- Strong experience in Agile, DevOps, CI/CD; certifications preferred.
- Familiarity with AI-driven analytics and automation; Python; PowerBI.
- Hands-on experience with Jira Align, Jira Cloud, JSM, GitHub, ServiceNow.
- Strong understanding of release/change lifecycle and Outage root cause analysis
- Experience with Agile SAFe, Waterfall, and hybrid delivery models.
- Modern Enterprise Release Management and ITSM
- Advanced expertise in Excel, PowerPoint, PowerBI
Preferred
- BS/BA in Computer Science or related field.
- Modern Release Management processes for Agile and DevOps environments
- Jira Align, JSM, Jira Cloud, Git for enterprise RM/CM
- ServiceNow for ITSM and RM/CM automation
- Modern Enterprise Release Management and ITSM
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.
CST zone candidates will be considered.
EST Candidates are not eligible.
Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.
Master’s degree in computer science, engineering or closely related field preferred.
Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.
Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
MLOps engineering principles, agile methodologies, and DevOps life-cycle management.
Technical writing and documentation for AI/ML models and processes.
Healthcare data and machine learning use cases.
Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.
Experience in managing automation with Terraform.
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
This role focuses on Gen-AI-driven test automation, quality insights, performance engineering, data validation, and deep collaboration with Site Reliability Engineering (SRE) to embed observability throughout the SDLC.
You will combine strong technical leadership with strategic thinking to enable global teams to ship software faster, safer, and with greater confidence.
Key Responsibilities: Lead end-to-end delivery of scalable quality-engineering solutions aligned with enterprise architecture, guardrails, and roadmaps.
Partner with SRE teams to embed metrics, logs, and traces into automated testing and quality gates to reduce MTTR and improve incident readiness.
Drive Gen-AI/LLM initiatives including self-healing tests, autonomous test generation, and AI-assisted defect triagetaking successful prototypes into production.
Guide teams on Shift-Left testing, DevTestOps, contract testing, performance engineering, data validation, and program-level quality governance.
Integrate and optimize vendor tools (e.g., PractiTest, LambdaTest, LoadRunner, UIPath) to maximize ROI.
Collaborate with product, architecture, engineering, and business stakeholders to translate requirements into scalable quality solutions.
Support agile delivery by applying testing strategies, standards, and tooling across application teams.
Participate in incident management, root-cause analysis, and post-mortems; provide preventative recommendations.
Mentor and coach engineers while fostering global knowledge sharing and continuous improvement.
Contribute to roadmap planning, funding prioritization, and documentation of architectures and quality standards.
We encourage you to apply if you are: Strategic Partner with the ability to align business outcomes, customer experience, and technical architecture.
Systems-Level Engineer comfortable designing and whiteboarding end-to-end flows for microservices, data contracts, and event-driven systems.
AI-Curious Practitioner who turns Gen-AI experimentation into real production value.
Change Agent skilled at influencing across dev, ops, SRE, product, and leadership.
Mentor & Multiplier who elevates team capability through coaching and collaboration.
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
10+ years of hands-on software or quality engineering experience with technical leadership.
Proven experience building large-scale test automation frameworks on AWS.
Hands-on expertise with at least two: Playwright, UIPath, RestAssured, Postman, Pact.
Strong CI/CD experience (GitHub Actions, Azure DevOps, or similar).
Solid knowledge of cloud-native architectures, microservices, Docker/Kubernetes, and IaC.
Experience with performance testing (k6, JMeter, LoadRunner) and observability (Datadog).
Exposure to Gen-AI/LLM-powered testing (Copilot, OpenAI, or custom solutions).
Excellent communication, facilitation, and stakeholder-management skills.
Certifications (AWS, testing, or observability) are a plus.
