Senior AI Engineer — Generative AI & RAG Orchestration

Genesis10

Pennington (NJ)

On-site

USD 76,000 - 87,000

Full time

5 days ago
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Benefits offered by this job

Medical, Dental, Vision
401K
Sick Pay
Commuter Benefits

Job summary

Genesis10 is seeking a Senior AI Engineer for a 12+ month contract with a Global Financial Institution in Pennington, NJ. You will design, build, and scale production-grade LLM applications, specializing in Generative AI orchestration, multi-agent workflows, and Retrieval-Augmented Generation (RAG) systems.

Responsibilities include architecting and scaling RAG pipelines, building stateful agentic workflows, and integrating with external data sources and vector databases, while ensuring

Qualifications

  • Production-level Python expertise with asyncio and strict typing.
  • Hands-on with LangChain/agent frameworks.
  • Experience with RAG pipelines and vector databases.

Responsibilities

  • Architect & Scale RAG pipelines for advanced retrieval-augmented generation.
  • Build agentic workflows using LangGraph and Deepagents.
  • Orchestrate & monitor LLM pipelines with LangChain and LangSmith.
  • Write clean, modular Python code with asynchronous programming and robust error handling.
  • Integrate LLM agents with external data sources, APIs, and vector stores.
  • Optimize token usage, latency, and cost across LLM-driven apps.

Skills

Python
Async programming
RAG pipelines
Agent frameworks
LLM orchestration

Tools

LangChain
LangGraph
LangSmith
Deepagents
Pinecone
Weaviate
Milvus
Qdrant
pgvector

Job description

Genesis10 is seeking a Senior AI Engineer for a 12+ month contract with a Global Financial Institution in Pennington, NJ. You will design, build, and scale production-grade LLM applications, specializing in Generative AI orchestration, multi-agent workflows, and Retrieval-Augmented Generation (RAG) systems.

Responsibilities include architecting and scaling RAG pipelines, building stateful agentic workflows, and integrating with external data sources and vector databases, while ensuring

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