GEN AI Engineer
US client via staffing partner · Plano, TX
- Location
- Plano, TX · Onsite
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Python · Generative AI · LLM · RAG · Machine Learning · Data Science · Agentic Workflows · Embeddings · Vector Search · CI/CD · API Design · Software Engineering · AI Governance · LLM Evaluation Frameworks · Prompt Management · Observability · ML Lifecycle · Data Governance · Responsible AI · Testing
About the role
Role: GEN AI Engineer Location: Plano, TX – Onsite Type: Contract Description: Data Science and Machine Learning DSML Team is seeking an experienced AI Engineer to design build evaluate and operationalize the technical foundation of the DSML AI Accelerator. This contractor role combines hands-on generative AI engineering retrieval augmented generation RAG agent workflow design and software engineering with a strong focus on governance traceability and measurable delivery impact. The successful candidate will help DSML teams move from fragmented discovery and manual project setup to a reusable governed acceleration capability. The engagement is structured in two phases with a formal continuation decision at the end of Phase 1. Required Experience: Bachelor's degree in Computer Science Data Science Machine Learning or a related field or equivalent practical experience. Over 12+ exp in IT with 8+ years of software data science machine learning or AI engineering experience including production quality Python development and collaborative version controlled delivery. Hands-on experience building LLM enabled applications RAG systems agentic workflows or comparable AI assistants using APIs and structured tool integrations. Strong Python skills and experience with modern software engineering practices testing code review CICD API design documentation and observability. Experience with data retrieval indexing concepts embeddings vector or hybrid search evaluation design and quality measurement. Ability to turn ambiguous business problems into testable technical requirements and communicate trade-offs to technical and nontechnical partners. Demonstrated commitment to responsible AI privacy security and data governance practices. Preferred Qualifications: Experience with modern LLM orchestration agent workflow or developer assistance platforms. Experience designing LLM evaluation frameworks guardrails prompt version management telemetry or model risk controls. Experience supporting ML lifecycle workflows feature or data documentation model development or ML project bootstrapping. Familiarity with data governance responsible AI access control auditability and human in the loop review. Engagement Structure and Deliverables: The contractor will establish the core technical foundation for the DSML AI Accelerator and deliver the capabilities needed to support a leadership decision on whether to continue and expand the effort. Current state assessment of DSML context discovery pain points and pro. Skills: Mandatory Skills: Industrial AI - Machine Learning (ML)
Recruiter contact
Unlock this recruiter's name, email and phone for a one-time $100. Payment is per role — you only pay for the introductions you actually want.
Want the full job-search package instead? Talk to us →
The recruiter's details are not public. Helen makes the introduction, checks your resume against the requirements first, and follows up on the reply.