Senior AI Engineer

Genesis10 • Pennington, NJ

1d

About The Position

Genesis10 is seeking a Senior AI Engineer for a 12+ month contract with a global financial institution in Pennington, New Jersey. The role focuses on advanced Python engineering and production-grade generative AI applications, with specialized expertise in orchestration, multi-agent workflows, and Retrieval-Augmented Generation (RAG). The engineer will design, build, and scale intelligent enterprise solutions using modern agentic frameworks.

The position includes architecting and optimizing RAG pipelines; developing stateful multi-agent systems and autonomous workflows; integrating and monitoring LLM applications; connecting agents to enterprise data and services; and optimizing performance, latency, token usage, and costs. The pay range is $55.06–$63.06 per hour. Genesis10 lists benefits for contract roles, subject to applicable eligibility and conditions.

Requirements

• Advanced, production-level proficiency in Python, including asyncio, design patterns, profiling, and testing.
• Hands-on production experience with one or more of LangChain, LangGraph, LangSmith, or Deepagents.
• Deep working knowledge of RAG pipelines, prompt engineering strategies, and vector database integration.
• Familiarity with major LLM providers, including OpenAI, Anthropic, and open-source models via Hugging Face or Ollama.
• Familiarity with function-calling and tool-use architectures.
• Experience with Git, CI/CD pipelines, Docker, and cloud environments such as AWS, GCP, or Azure.

Responsibilities

• Design, implement, and optimize RAG architectures, including custom chunking, hybrid search, embedding optimization, and reranking.
• Develop complex, stateful multi-agent systems and autonomous workflows using frameworks such as LangGraph and Deepagents.
• Use LangChain for LLM integration and LangSmith for tracing, evaluation, debugging, and production pipeline monitoring.
• Write clean, modular, efficient, and maintainable Python code using modern practices such as asynchronous programming, strict typing, and robust error handling.
• Integrate LLM agents and workflows with external data sources, enterprise APIs, vector databases, and developer tools, including Model Context Protocol integrations where applicable.
• Optimize token usage, latency, and operational costs without compromising response quality or accuracy.

Benefits

• Behavioral Health Platform
• Medical, dental, and vision coverage
• Health Savings Account
• Voluntary hospital indemnity, critical illness, and accident coverage
• Voluntary term life insurance
• 401(k)
• Sick pay for applicable states and municipalities
• Commuter benefits in Dallas, NYC, San Francisco, and Illinois
• Access to an experienced recruiting team
• Access to hundreds of clients
• Opportunity to establish a career home with Genesis10

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed