Production AI Engineer: LLMs, RAG & Observability

GeniusXLab LLC

United States

On-site

USD 140,000 - 210,000

Full time

8 days ago

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Benefits offered by this job

Learning budget

Remote work

Competitive pay

Job summary

GeniusXLab LLC is seeking a world-class AI/ML Engineer to lead the design and integration of intelligent features into client products, bridging cutting-edge AI research and production-grade engineering.

You will architect RAG pipelines, guardrails, and observability stacks, shipping reliable, scalable LLM-powered capabilities for enterprise environments with autonomy on client engagements and clear stakeholder communication.

Qualifications

Production LLM experience with OpenAI, Anthropic, or open-source models in real products.
RAG & vector search experience with LangChain, LlamaIndex, Pinecone, or pgvector.
Python backend skills with FastAPI or Django for serving ML workloads.

Responsibilities

LLM integration: design and ship features with proper error handling, fallbacks, and cost controls.
RAG pipelines: build retrieval-augmented systems with vector search and document chunking.
Agentic systems: implement multi-step AI agents and autonomous workflows.
Evaluation & guardrails: create prompt testing suites, output validation, and content moderation.
Observability: instrument AI features with latency, cost, and quality dashboards.
Client advisory: guide AI feasibility, MVP scoping, and stakeholder communication.