ROLE 21 / AI & ML

Generative AI / RAG Engineer

Builds secure, production-ready generative-AI applications using large language models, retrieval-augmented generation, vector search, prompt engineering, evaluation, and guardrails.

EngagementFull-TimeLocationRemoteExperience4+ yearsJob CategoryAI & ML

ROLE RESPONSIBILITIES

What you’ll own.

Design and implement RAG workflows, including document ingestion, chunking, embedding, vector indexing, retrieval, prompt construction, and response generation.
Integrate LLMs and foundation models through Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI-compatible APIs, or approved alternatives.
Develop prompts, system instructions, evaluation datasets, output-quality metrics, and test automation.
Implement guardrails for content filtering, data leakage prevention, prompt-injection resistance, access enforcement, hallucination mitigation, and harmful-output controls.
Integrate GenAI solutions with agency data sources, repositories, workflow tools, knowledge bases, APIs, and user interfaces.
Implement observability for model usage, latency, failures, token consumption, quality signals, security events, and user feedback.

MINIMUM QUALIFICATIONS

Experience that prepares you for the work.

4+ years in software engineering, data engineering, AI/ML, NLP, or cloud application development. Demonstrated experience with LLMs, embeddings, vector databases, RAG architecture, APIs, Python or TypeScript/JavaScript, AI security, privacy, and evaluation practices preferred.

CANDIDATE INFORMATION

Before you apply.

Engagement conditionsRemote, travel, client-site, clearance, compensation and benefit details are confirmed for the specific engagement during recruiting.

Accessible application processFor an application accommodation, contact info@jjtassoc.com or +1 470-256-0558.

Information handlingSubmit only recruiting information through this form. Do not include classified, controlled or export-restricted material.

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