Gen AI Product Engineering Lead

Overview

Hybrid
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Multi-Agent Control Plane (MCP)
MCP Server deployments
Retrieval-Augmented Generation (RAG)
Prompt Engineering & Context Management
AI/ML: Machine Learning concepts
LLM
AWS serverless
ML Ops
cloud computing
Python
Data Structures & Algorithms

Job Details

Gen AI Product Engineering Lead

Location: Whippany, NJ (Hybrid Local/Commutable Candidates Preferred)
Client: Leading Multinational Bank & Financial Services Organization
Visa: All visa types accepted

Position Overview

We are seeking a highly skilled and motivated Gen AI Product Engineering Lead to join our innovative team at a leading multinational bank and financial services organization. This role will focus on driving the development and deployment of cutting-edge applications leveraging Generative AI models, transforming research into impactful, production-ready solutions. The ideal candidate will have a strong engineering background, hands-on product development experience, and a proven ability to lead projects from concept to production in dynamic, fast-paced environments.

Key Responsibilities

  • Lead the development and deployment of novel applications powered by Generative AI models.

  • Translate advanced AI research into real-world products with measurable business impact.

  • Deploy AI Agents and Multi-Agent Control Plane (MCP) servers in production environments.

  • Drive end-to-end product engineering, from ideation and prototyping to production deployment.

  • Collaborate with cross-functional teams to ensure seamless integration and scalability of AI solutions.

Required Skills and Technologies

  • Programming: Proficiency in Python, with strong knowledge of Data Structures and Algorithms.

  • Cloud & Infrastructure: Expertise in AWS serverless architectures, ML Ops, and cloud computing.

  • AI/ML: Deep understanding of Machine Learning concepts and Large Language Model (LLM) integration, including OpenAI, Anthropic, and local models.

  • Frameworks & Tools: Hands-on experience with LangChain (chains, tools, memory, agents) and CrewAI (agent collaboration).

  • Databases: Working knowledge of Vector Databases such as Pinecone, FAISS, or Weaviate.

  • Advanced AI Concepts: Expertise in Retrieval-Augmented Generation (RAG), Prompt Engineering, and Context Management.

  • Specialized Expertise: Proficiency in Multi-Agent Control Plane (MCP) and MCP Server deployments.

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About Fourways Consulting Services