Senior AI - ML Full Stack Engineer - Generative AI job at Expleo in US National

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.

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