Senior AI Systems Engineer — Production LLM & RAG

Iovance; United States; Remote; USD 175,000 - 200,000; Full time

Job summary

Iovance Biotherapeutics seeks a senior AI engineer to design, build, and deploy AI systems across regulated life sciences contexts. You will own end-to-end RAG-based solutions, ensure secure deployment, and monitor model performance in collaboration with IT Security and Process owners.

The role emphasizes hands-on coding, architecture, and tooling to deliver production-grade AI capabilities that support manufacturing, QA, regulatory, and commercial functions in a compliant environment.

Qualifications

• 10+ years of progressive software/AI/ML engineering experience with recent focus on LLM-based development.
• Hands-on experience with RAG, embedding models, vector stores, retrieval and grounding for high accuracy.
• Experience with frontier models (Claude, GPT, Gemini) and evaluating models for task fit, cost, latency and safety.
• Strong software fundamentals: Python and another language, Agile delivery, Git, CI/CD, containers, AWS (S3/Redshift/Bedrock).
• Builder mindset; heavy coding, system design, model evaluation, and artifact production.
• Experience with AWS data and AI services is preferred (S3, Redshift, Bedrock, IAM).
• Familiarity with enterprise search and hybrid retrieval (vector + BM25).

Responsibilities

• Design, build, and ship AI systems end-to-end on the Iovance AI roadmap.
• Implement production-grade RAG systems on AWS infrastructure (S3, Redshift, Bedrock).
• Create evaluation harnesses with test sets, metrics, and regression testing.
• Integrate AI systems with enterprise apps using MCP, APIs, and event-driven patterns.
• Own LLM security controls: input/output guardrails, redaction, moderation, and monitoring.
• Develop AI agents with safe write-back to systems of record in regulated environments.
• Establish modern engineering practices: version control, CI/CD, environment separation, reproducible builds.
• Evaluate AI vendors and foundation models with PoC results for governance.
• Implement audit logging, access management, model change control, and monitoring.
• Create architecture/runbooks and validation deliverables; contribute to AI Validation Playbook.
• Mentor junior engineers and keep abreast of AI tooling and best practices.

Skills

LLM development

RAG systems

MCP integration

Python

AWS cloud

CI/CD

Security controls

Education

Bachelor's or Master’s in CS/Engineering

Tools

OpenSearch

Elasticsearch

Bedrock

AWS S3

Redshift

IAM

Git

CI/CD tooling

Job description

Iovance Biotherapeutics seeks a senior AI engineer to design, build, and deploy AI systems across regulated life sciences contexts. You will own end-to-end RAG-based solutions, ensure secure deployment, and monitor model performance in collaboration with IT Security and Process owners.

The role emphasizes hands-on coding, architecture, and tooling to deliver production-grade AI capabilities that support manufacturing, QA, regulatory, and commercial functions in a compliant environment.