Title: Senior AI/ML Full Stack Engineer - Generative AI Job ID 2026-53109 Job Locations US-MN-Rochester Position Category IT & Digital Position Type Permanent or Fixed Term Contract Industry Other Visa sponsorship None Languages Required English essential # of Openings 1 Workplace Remote

Overview

Location: Remote Employment Type: Contract (W2) Build the Future of Generative AI in Healthcare Are you passionate about building real‑world Generative AI solutions that make a meaningful impact? Trissential is hiring a Senior AI/ML Full Stack Engineer to join our client’s Generative AI team within a leading healthcare and research organization. This is a high‑visibility role where you’ll design, deploy, and scale production‑grade AI solutions used across healthcare and enterprise environments. If you enjoy working end‑to‑end—from LLM pipelines and cloud deployment to user‑facing applications, this is an opportunity to work on complex, impactful AI systems that truly matter. What’s in It for You? High‑Impact Work – Build AI solutions that support healthcare, research, and enterprise decision‑making Cutting‑Edge Technology – Work hands‑on with LLMs, RAG pipelines, Agentic AI, and cloud‑native architectures Technical Leadership – Guide architecture decisions and mentor other engineers Collaborative Environment – Partner with product owners, data scientists, architects, and stakeholders Stability & Growth – Join long‑term AI initiatives with strong executive sponsorship Your Role & Responsibilities Design, develop, and deploy production‑grade AI/ML and Generative AI solutions Build and optimize RAG pipelines, embeddings, semantic search, and document intelligence workflows Develop scalable APIs and full‑stack applications supporting AI use cases Collaborate closely with system architects across the full software lifecycle Implement LLM evaluation frameworks, monitoring, and performance metrics Apply AI safety guardrails including content moderation and hallucination reduction Lead and mentor engineers through design, development, testing, and release cycles Communicate technical tradeoffs and progress clearly to stakeholders Skills & Experience You Should Possess 5+ years of hands‑on experience designing and building software solutions Strong Python and SQL development skills Proven experience with Generative AI, LLMs, and Retrieval‑Augmented Generation (RAG) Experience with embeddings, prompt engineering, semantic search, and citations Solid understanding of ML/NLP model evaluation and monitoring Full‑stack development experience (front‑end and back‑end) Experience working in cloud environments such as GCP, AWS, or OCI Excellent communication and collaboration skills Bonus Points If You Have Experience with Vertex AI, BigQuery, OpenSearch, or Snowflake Knowledge of Agentic AI architectures Experience deploying AI solutions using Docker, Cloud Run, Airflow, Terraform, or CI/CD pipelines Background in healthcare, clinical, life sciences, claims, or regulatory data Experience implementing AI governance and safety frameworks Education & Certifications You Need Bachelor’s degree in Computer Science, Data Science, Engineering, or related field required Master’s degree in AI, Machine Learning, Data Science, or related field preferred Relevant certifications or coursework in Generative AI, ML, MLOps, or Cloud AI platforms are a plus

What We Offer

At Trissential, we connect top talent with meaningful, long‑term opportunities while providing flexibility and support. Competitive Compensation –$75-$85 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market‑based rates by geography. Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele‑health, HSA with company contribution, life and disability insurance, and 401k with matching Paid Time Off –Offers paid time away from work Career Growth – Work on cutting‑edge AI initiatives with long‑term potential Collaborative Culture – Join a team that values innovation, ownership, and continuous learning This role is only open to candidates authorized to work in the United States.