Job Title: Senior AI Engineer: Generative AI, Agentic AI & RAG
Company: Nimara Ventures, Inc.
Location: Remote (US-based). 3-4 hours overlap with US Eastern/Central hours
Employment Type: Contract, long-term (W2, C2C or 1099)
Pay Rate: [$45-$50/hr C2C] · [$50-$55/hr W2]
About the Role
Nimara Ventures places senior AI, DevOps and product engineers with US companies. We’re looking for a hands-on Senior AI Engineer to design, build and ship production-grade Generative AI, RAG and agentic systems for client engagements. You’ll work directly with client stakeholders, own architecture decisions, and may guide a small team of engineers.
What You’ll Do
- Design and deliver end-to-end RAG systems, including document ingestion, chunking, embeddings, hybrid retrieval and evaluation
- Build agentic workflows and stateful multi-agent systems using LangGraph, LangChain or LlamaIndex
- Develop LLM-powered automation that integrates with client systems such as CRMs, internal data sources and APIs
- Build AI analytics assistants that answer natural-language business questions
- Productionize models with MLOps/LLMOps practices: deployment, monitoring, retraining and evaluation
- Gather requirements from client stakeholders and turn them into architecture and delivery plans
- Mentor and technically guide a small team (up to ~6 engineers) and review designs and code
- Write clear technical documentation and communicate progress to stakeholders.
Required Qualifications
- 7+ years in software engineering, data science or ML, with 2+ years building production LLM/RAG applications
- Strong Python; experience with FastAPI or Flask
- Hands-on with LangChain, LangGraph or LlamaIndex
- Experience with vector databases (Pinecone, Weaviate, Chroma, Qdrant or similar) and embeddings
- Experience deploying on AWS or Azure
- Solid ML fundamentals (classification, regression, NLP) and SQL
- Strong written and verbal communication, and comfort working directly with clients
Preferred
- MCP, tool/function calling, A2A, hybrid search, reranking
- LLM evaluation (RAGAS, LLM-as-a-judge)
- MLOps tooling: MLflow, Docker, Airflow, GitHub Actions, DVC
- Computer vision, NER or transformer fine-tuning (e.g., BERT)
- Kubernetes experience
- Prior experience leading or mentoring small teams
Work Authorization: Must be legally authorized to work in the US without sponsorship.
How to Apply: Send your resume and expected rate to
Nimara Ventures, Inc. is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status or any other protected characteristic.
