Gen AI Engineer / Lead AI Agent Deployment & MCP Integration

Overview

Hybrid
Depends on Experience
Full Time
Accepts corp to corp applications
Able to Provide Sponsorship

Skills

Python
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Generative Artificial Intelligence (AI)
Artificial Intelligence

Job Details

Job Title: Gen AI Engineer / Lead AI Agent Deployment & MCP Integration

Client: Financial Domin

Location: Whippany, NJ (Hybrid)
Rate: Open | Duration: Contract

Exp: 9+ Years

Role Overview:

We are seeking a hands-on Gen AI Engineer / Tech Lead with a strong background in Python, AWS serverless infrastructure, and machine learning platforms. This role involves leading the design, development, and deployment of real-world applications using cutting-edge Generative AI models and multi-agent control systems (MCP).

The ideal candidate thrives in startup-style, fast-paced environments, and has experience transforming AI concepts into scalable, production-ready systems.

Key Responsibilities:

  • Build and deploy Gen AI-powered applications using frameworks like LangChain and CrewAI
  • Develop and manage multi-agent architectures via MCP servers and orchestration tools
  • Integrate with LLMs such as OpenAI, Anthropic, and local models
  • Drive end-to-end product lifecycle: concept prototype deployment
  • Implement Retrieval-Augmented Generation (RAG) and optimize prompt workflows
  • Coordinate vector DB integration with tools like Pinecone, Weaviate, FAISS
  • Ensure scalable, serverless deployment on AWS (Lambda, S3, API Gateway, DynamoDB)
  • Collaborate across teams for DevOps, MLOps, and continuous delivery

Required Technical Skills:

  • Python programming (Advanced)
  • Strong foundation in Data Structures & Algorithms
  • Solid grasp of Machine Learning concepts and workflows
  • Experience with ML Ops and cloud-native deployments (especially AWS)
  • Proficient in LangChain (chains, tools, memory, agents)
  • Experience with CrewAI (agent roles, delegation, multi-agent orchestration)
  • Familiarity with MCP (Multi-agent Control Plane) systems
  • Skilled in working with Vector Databases: Pinecone, Weaviate, or FAISS
  • LLM Integration: OpenAI, Anthropic, open-source/local LLMs
  • Knowledge of RAG frameworks and best practices
  • Strong Prompt Engineering and context handling skills

Preferred Qualifications:

  • Experience in deploying AI Agents & MCP servers in production
  • Prior experience in startup or early-stage product environments
  • Strong problem-solving and communication skills
  • Ability to lead and mentor junior engineers and collaborate with cross-functional teams

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.