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UiPath Developer – Agentic AI & Maestro

About WonderBotz

WonderBotz is a global leader in intelligent automation, delivering innovative RPA and AI solutions that help organizations scale efficiently, reduce costs, and unlock new opportunities. Our team blends technical expertise with business insight to ensure clients achieve measurable success.

Role Overview

We are seeking a UiPath Developer with hands-on experience in Agentic AI and Maestro orchestration. You will design, build, and optimize automation solutions that integrate advanced AI capabilities, ensuring seamless execution across enterprise-scale environments. This role requires strong technical skills, creativity in solution design, and the ability to collaborate with cross-functional teams.

Key Responsibilities

• Develop, configure, and deploy automation workflows using UiPath Studio and Orchestrator.
• Integrate Agentic AI capabilities into RPA solutions to enable intelligent decision-making.
• Utilize Maestro for orchestration, monitoring, and scaling of automation programs.
• Collaborate with business SMEs to gather requirements and translate them into technical designs.
• Build and maintain reusable components, libraries, and frameworks for automation.
• Conduct testing, debugging, and performance tuning of automation solutions.
• Document processes, technical specifications, and best practices.
• Provide support for production deployments and ongoing maintenance.

Qualifications

• 3–5 years of hands-on UiPath development experience (Studio, Orchestrator, Robots).
• Proven expertise with Agentic AI integration in automation workflows.
• Experience with Maestro for orchestration and enterprise automation management.
• Strong understanding of RPA lifecycle (design, development, testing, deployment, support).
• Familiarity with programming languages (VB.Net, C#, Python, SQL) is a plus.
• Knowledge of AI/ML concepts, NLP, and intelligent document processing preferred.
• UiPath certifications (Developer, Advanced RPA Developer) highly desirable.

Desired Characteristics

• Strong problem-solving and analytical skills.
• Excellent communication skills for technical and non-technical stakeholders.
• Ability to work independently and in collaborative team environments.
• Detail-oriented with a focus on quality and scalability.
• Passion for innovation and continuous learning in automation and AI.

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.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Local candidates only. You must be a W2 employee and we can not work with third party clients.

Software Engineer – Generative AI Applications |

Company’s Early Clinical Development (ECD) team is looking for a Software Engineer to design and build next‑generation applications that integrate generative AI into clinical development workflows. You’ll work with AI scientists, full‑stack engineers, and cross‑functional partners to deliver innovative, user‑centric tools that support Clinical Science, Operations, Medical Writing, Regulatory, and Quality teams.

What You’ll Do

• Develop and deploy software that integrates LLMs and AI‑driven capabilities
• Build intuitive front‑end interfaces and scalable backend services
• Design and maintain RESTful APIs and deployment pipelines
• Write clean, well‑documented, testable code; participate in code reviews
• Stay current on AI/ML advancements and evaluate new technologies
• Collaborate with data scientists, engineers, and product teams to embed AI into clinical development tools
• Monitor production systems and optimize performance

Who You Are

• Full‑stack engineer with strong experience building AI‑enabled applications
• Deep understanding of modern AI/LLM capabilities, limitations, and best practices
• Strong communicator who can work across scientific and technical teams

Minimum Requirements

• Bachelor’s or Master’s in CS, Engineering, Math, or related field
• 5+ years full‑stack development experience
• Expertise with Vue.js or React, plus backend frameworks (FastAPI, Django, Flask, Next.js)
• 2+ years building or deploying AI/ML applications
• Experience with REST APIs, prompt engineering, and containerized workflows (Docker, Kubernetes)
• Strong automated testing skills (unittest, jest, Playwright)
• Familiarity with Agile development
• Experience with AWS, Snowflake, and scalable system design
• Experience integrating LLMs, RAG systems, or chatbots

Preferred

• Experience with LLM fine‑tuning, AI agents, HuggingFace, LangChain, TensorFlow, or PyTorch
• Experience with Office.js add‑ins, WebSockets, JWT, or CRDTs (Yjs)
• Background using NLP/LLMs on clinical text or knowledge of clinical development

A postdoctoral fellowship is available at the Stanford University School of Medicine focused on implementing machine learning on population-scale clinical and biological data to characterize biological aging, resilience, and rejuvenation.

This is a unique opportunity to apply ML in unconventional and paradigm-shifting research with the potential to directly and broadly impact human lives. By joining our research group, you will:

• Have direct access to unparalleled population-scale clinical and biological data sources, along with the computational resources required to analyze these data and develop sophisticated machine learning models.
• Work in a highly collaborative environment with researchers from diverse backgrounds in medicine, biological sciences, and computer science.
• Collaborate with world-leading experts at Stanford University across the spectrum of AI, medicine, and biology.
• Be part of an environment strongly committed to translating research findings into actionable insights and scalable real-world products. We encourage (and financially support) our postdoctoral fellows to pursue extensive training in entrepreneurship and business management through Stanford’s Graduate School of Business. This position is well suited for candidates interested not only in state-of-the-art academic research, but also in exploring industrial and entrepreneurial career trajectories.

As a Stanford postdoctoral scholar, you will receive a highly competitive salary and comprehensive benefits, including best-in-class health and dental insurance. You will also receive priority consideration for Stanford housing and have access to Stanford’s broad range of professional development, learning, and growth resources.

Relevant background:

• MD or PhD, with research experience building and/or applying machine learning models during graduate studies, industry, or postdoctoral work.
• Excellent publication record.
• Interest in medicine and biology.
• Familiarity with modern AI/ML platforms and libraries (e.g., PyTorch and/or TensorFlow), traditional machine learning frameworks (e.g., scikit-learn), and statistical analysis in Python.

Preferred, but not required:

• Familiarity with electronic health record (EHR) data and cohort/outcome definition using EHRs.
• Experience in medicine and/or biology, particularly in aging-related research and omics-based analyses.
• Broad experience across diverse AI/ML concepts, including causal inference.
• Publications in leading AI/ML, biology, or medicine conferences and journals.

Keywords:

Machine Learning, Precision Medicine, Biology, Omics, Proteomics, metabolites, Electronic Health Records, Artificial Intelligence, Data Science, Deep Learning, Bioinformatics

How to Apply:

• To receive full consideration, please apply using the following google form:  can be directed to
• For more information please visit: 

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.

Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.

The Director, USMA (United States Medical Affairs) Framework Architecture is responsible for establishing, maintaining and continuously improving the medical affairs framework within US Medical Affairs. This role ensures medical affairs operates ethically, transparently and in full compliance with internal policies, industry codes and regulatory requirements. This role oversees the design and implementation of robust medical mechanisms for medical content, scientific exchange, evidence generation and external engagement to uphold the highest ethical standards, patient-centricity, and scientific integrity.

Develop and execute training programs for Medical Affairs personnel on Medical Affairs framework and ethical standards. Track training completion and maintain audit readiness documentation. Ensure USMA employees operate in the appropriate framework for all US medical activities, including publications, post approval studies, research, advisory boards, scientific engagement and medical information and response documents. Partner with patient safety organization. Ensure Scientific integrity in US Affiliate communication.

Contribute to shaping medical affairs framework that compliantly enables the US Medical Affairs and US Affiliate organization.

Key Responsibilities:

• Identify and share opportunities to improve specific Medical Affairs framework, policies and input into relevant global and local policies.
• Develop, lead, and continuously improve the U.S. Medical framework to support compliant medical operations and decision-making.
• Drive medical affairs framework and ethical training programs and ensure ongoing training within USMA and US Affiliate as required.
• Ensure appropriate onboarding of employees into USMA framework in collaboration with Global Learning and Development.
• Ensure an effective medical contribution to the review and approval processes for U.S. promotional and non-promotional materials, ensuring medical accuracy and compliance (PRC).
• Ensure an effective medical contribution to the U.S. Medical Review Committee (MRC), ensuring timely and compliant review of medical content.
• Manage the USMA input into PRC and MRC escalation
• Collaborate closely with U.S. Commercial, Regulatory, Legal, and Compliance teams to support business objectives while upholding medical affairs framework standards.
• Ensure adherence to U.S. regulatory and industry standards including FDA promotional guidelines, PhRMA Code, and OIG compliance requirements.
• Provide medical governance oversight for U.S. medical field activities (e.g., MSL engagements, scientific exchange, advisory boards, studies).
• Support audits and inspections as needed.
• Up to date on emerging global and U.S. regulatory, clinical, ethical and compliance trends and assess their impact on USMA framework.
• Act as key liaison between Medical Affairs, Regulatory, Legal, Compliance and Commercial teams to ensure medical affairs has the optimal framework to enable compliance and USMA deliverables.
• Oversee risk assessments and implement control measures for emerging issues and manage medical and scientific risks across the US Affiliate.
• Develop appropriate metrics and dashboards to reflect key performance indicators for effective Medical Affairs framework within the US.

Qualifications:

• Advanced degree in a life science discipline (MD, PharmD, or PhD strongly preferred).
• Minimum 5 years of experience in U.S. Medical Affairs roles within the pharmaceutical or biotech industry.
• Deep understanding of US FDA regulations, PhRMA Code, Sunshine Act, and other applicable laws and guidance.
• Proven understanding or ability to lead governance frameworks within a US-based, cross-functional Medical Affairs environment.
• Strong experience in promotional review committees and medical content governance.
• Exceptional interpersonal, influencing, and communication skills.
• Strategic mindset with the ability to navigate complex challenges and drive ethical, compliant decision-making.

The salary range for this position is: Other US Locations: $221,000.00 - $286,000.00. Bay Area: $243,100.00 - $314,600.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans.

Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance.

Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.

Position: Principal AI Engineer

Location: San Francisco CA Hybrid

Contract

Job Summary:

• We are seeking a senior level AI/ML engineering contractor to temporarily step into a technical leadership and team lead role supporting personalization models and the company’s AI platform.
• The ideal candidate can balance technical expertise, strategic decision making, and day to day team guidance to ensure continuity during the leave period.

Required Skills & Experience:

• Senior level 12 years of experience building and operating machine learning systems in production.
• Strong understanding of ranking models, recommendation systems, model evaluation, and experiment design.
• Hands on expertise with modern AI/ML engineering tools (e.g., Python, Spark or similar, cloud-based ML pipelines, cloud model serving frameworks, and API design).
• Ability to lead engineering discussions, guide team members, and provide clear direction.
• Strong organizational skills: able to manage complex projects and maintain structure during a temporary leadership period.
• Excellent communication skills, with the ability to translate technical details into clear action for partners and stakeholders.

Ultimate Staffing is partnering with a growing aerospace company in Signal Hill. They are looking to hire multiple CMM Programmers. This position is paying between $30 and $45 an hour based on experience and skills.

The CMM Programmer is responsible for developing, maintaining, and executing Coordinate Measuring Machine (CMM) programs using PC‑DMIS software to support inspection activities. This role ensures that manufactured components meet engineering specifications, quality standards, and customer requirements. The CMM Programmer works closely with Quality, Engineering, and Manufacturing teams to support production and continuous improvement initiatives.

Key Responsibilities

• Create, edit, and optimize CMM programs using PC‑DMIS for dimensional inspection of parts, assemblies, and tooling.
• Perform first‑article inspections (FAI), in‑process checks, and final inspections as required.
• Interpret engineering drawings, GD&T, and technical specifications to develop accurate measurement strategies.
• Set up and operate CMM equipment to validate program accuracy and ensure measurement repeatability.
• Analyze inspection results, generate detailed reports, and communicate findings to Quality and Engineering.
• Maintain CMM equipment, including calibration checks and basic troubleshooting.
• Assist in root‑cause analysis and corrective actions for dimensional non‑conformances.
• Support continuous improvement efforts by recommending measurement process improvements.
• Maintain documentation, revision control, and adherence to quality system standards (AS9100, ISO 9001, etc., if applicable).

Qualifications

• 2+ years of experience as a CMM Programmer or similar role in a manufacturing or precision machining environment.
• Proficiency with PC‑DMIS software (Required).
• Strong understanding of GD&T (Geometric Dimensioning & Tolerancing) and metrology principles.
• Ability to read and interpret complex engineering drawings and 3D models.
• Experience operating various inspection tools (micrometers, height gages, calipers, optical/comparator equipment).
• Strong problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.

Desired Skills and Experience

PC-DMIS

CMM Programming

CMM Operating

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.