Senior AI Developer

Senior AI Developer

myDNA, Inc. Houston, Texas, United States Information Technology

Our mission is to build a healthier and more connected world with precision health and genealogy services.

We empower individuals with actionable insights into their genetic makeup, fostering a deeper understanding of their ancestry, health, and wellness. By integrating the experience of Gene by Gene Laboratory Services, Family

TreeDNA genealogy, and myDNA reporting services, we strive to deliver cutting‑edge genetic testing and personalized solutions that inspire informed decisions and enhance quality of life. Our team is dedicated to advancing the field of genomics through innovation, research, and a commitment to excellence.

All employees are expected to demonstrate our values of Innovate
, One Team
, and Integrity when carrying out the accountabilities and responsibilities of their role.

This is how we show up every day for ourselves, our colleagues and our customers and strategic partners to deliver our vision and strategic goals.

We are seeking a Senior AI Developer to join our engineering team. In this senior role you will help shape and execute our AI/ML strategy, guiding our journey from early generative‑AI capabilities into a mature, production‑grade AI practice. You will integrate generative‑AI features into our products and internal platforms, combine retrieval‑augmented generation (RAG) with knowledge graphs to ground model outputs in our domain data, and own AI features end‑to‑end—model selection, prompt engineering, retrieval, fine‑tuning where appropriate, deployment, observability, cost governance, and compliance posture.

As a senior individual contributor, you will also provide architectural direction and code‑level guidance to existing engineering teams who own day‑to‑day delivery of supporting backend and data‑layer work.

This role operates in a regulated environment. The Senior AI Developer is expected to understand how regulatory obligations apply to AI/ML systems specifically—training data, PII handling, model output controls, audit logging, evidence retention, and the limits regulation places on third‑party model usage—and to produce the operational evidence that carries our AI capabilities through audits.

• Helps set technical direction for AI/ML—evaluates models, frameworks, vector stores, graph databases, evaluation tooling, and orchestration patterns; makes recommendations and leads adoption.
• Designs and implements production generative‑AI features using managed foundation‑model services, applying guardrails, contextual grounding, structured output, tool use, and agentic workflow patterns.
• Builds retrieval‑augmented generation (RAG) pipelines—document ingestion, chunking, embeddings, vector search, hybrid retrieval, and reranking—selecting the storage approach that best fits each use case.
• Designs and operates knowledge graphs to model the domain—schema and ontology design, entity resolution, relationship extraction, and integration with LLM workflows (Graph
  
  RAG, hybrid graph + vector retrieval).
• Trains and fine‑tunes models where it produces measurable lift, including dataset preparation, supervised and parameter‑efficient fine‑tuning, baseline evaluation, and deployment.
• Provides architectural direction and code‑level guidance to existing .NET and SQL engineering teams responsible for backend services and data‑layer integration with AI features.
• Defines and enforces LLMOps / MLOps practices: prompt and model versioning, evaluation harnesses, regression testing, latency and cost SLOs, and reproducible training pipelines.
• Implements observability for AI systems and makes the data actionable across token usage, latency, hallucination and refusal rates, contextual‑grounding faithfulness, cost‑per‑request, and quality metrics.
• Builds and operates AI systems for audit‑readiness—data lineage, prompt and model version traceability, decision logging, access controls, and evidence collection.
• Mentors fellow engineers, leads code review, contributes to architecture decision records, and helps…