Agentic AI Technical Lead

About the role

We are seeking an expert Hands-On Technical Lead to serve as the player-coach for our Services AI Platform engineering team. In this role, you will split your time between writing production-grade code and guiding the technical strategy of the platform. You will build and scale multi-tenant agentic ecosystems, develop custom fine-tuning applications, and ensure the platform adheres to our core principles: Trust, Adoption, Cost, Operations, and Scalability. You will lead by example, setting the standard for code quality and architectural purity while driving high-impact business use cases.

Responsibilities

• Core Platform & Application Development
  • Full-Stack Engineering: Lead the development of custom AI platform components, including full-stack applications utilizing Python and Angular (e.g., building and maintaining internal LLM/SLM fine-tuning planes and experiment tracking dashboards).
  • Agentic Frameworks: Code and optimize multi-tenant intelligent agents utilizing modular orchestration patterns such as ReAct and ReWOO, and frameworks like Google's Agent Development Kit (ADK).
  • Strict Architectural Implementation: Develop and enforce clean, decoupled integration layers. Build Model Context Protocol (MCP) servers ensuring a strict communication flow: Agents interact solely with MCP servers, and MCP servers interact solely with APIs to retrieve data. Direct database access from agents or MCP servers is strictly prohibited.
• Advanced Data Retrieval & Logic Engineering
  • Next-Generation RAG: Write the data ingestion and retrieval code for advanced RAG architectures, including Knowledge Graph RAG (GraphRAG), LightRAG, and hierarchical summary trees (RAPTOR).
  • Vector & Graph Integrations: Develop seamless integrations with graph and vector databases (such as Neo4j and pgvector) to power complex, thematic data retrieval.
  • Prompt & Intent Engineering: Design robust LLM instructions and classification logic to prevent collisions in complex workflows, ensuring mutually exclusive intents are handled with high precision.
• Use Case Development & Forward Deployment
  • SME Collaboration: Act as a Forward Deployed Engineer (FDE), working directly with Subject Matter Experts (SMEs) on business and domain understanding to accurately translate complex enterprise workflows into automated, agent-driven code.
  • Seamless Integration: Partner with UI and workflow integration developers to ensure the backend agentic logic connects flawlessly with user-facing layers and existing enterprise APIs.

Requirements

• 10+ years of experience in software development.
• 5+ years of experience in AI/ML, with at least 2+ years in Generative AI.
• 3+ years of leadership experience managing technical teams and delivering complex software or AI solutions.
• Extensive hands-on experience with AWS services and infrastructure related to AI/ML.
• A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

Benefits

• Medical, dental, and vision coverage.
• 401(k) retirement plan.
• Life, accident, and disability insurance.
• Wellness programs.
• Paid time off packages, including vacation, sick leave, and holidays.
• Discretionary and formulaic incentive and retention awards (for eligible employees).

Pay

Full-time salary range: $142,320.00 - $213,480.00.

Schedule

Full time.

Location

Jersey City, New Jersey, United States.