Global Product Lead, Support Tools, Artificial Intelligence

Job highlights Identified by Google from the original job post Qualifications • The ideal candidate will focus on building production-grade AI agents and intelligent workflows on top of enterprise datasets and internal applications • Backend (Primary – Must Have) • Strong proficiency in Python • Hands-on experience with FastAPI • Strong SQL skills • Experience with PostgreSQL • Experience designing APIs and production systems • AI / Agentic Frameworks (Critical) • Hands-on experience with LangGraph • Strong understanding of: • Agent orchestration • Prompt engineering • Experience building production-ready AI agents • Working knowledge of TypeScript • Ability to support UI changes when required • 12 more items(s) Responsibilities • This role requires a highly execution-driven engineer capable of delivering immediate impact in a fast-paced environment • Delivery Call • Customer Technical Interview (Zoom) • In-Person Customer Meeting • Build and deploy AI agents using LangGraph • Develop backend-heavy AI solutions using Python and FastAPI • Design and implement: • RAG pipelines • Text-to-SQL systems • Prompt-engineered agent workflows • Business data summarization tools • Integrate AI capabilities into existing enterprise applications • Work with structured datasets, particularly PostgreSQL • Collaborate closely with business teams and AI leadership • Support frontend updates using TypeScript when required • 12 more items(s) More job highlights Job description Job Title: Sr.

Python Engineer / Gen AI Engineer (LangGraph)

Location: New York ,NY (Onsite role)

Job Type: Permanent / Contract-to-Hire (CTH)

Role Overview

We are seeking a Senior Python Backend–Heavy Full Stack AI Engineer with hands-on experience in LangGraph and Agentic AI systems.

The ideal candidate will focus on building production-grade AI agents and intelligent workflows on top of en...terprise datasets and internal applications.

This role requires a highly execution-driven engineer capable of delivering immediate impact in a fast-paced environment.

Interview Process

• Technical Interview

• Delivery Call

• Customer Technical Interview (Zoom)

• In-Person Customer Meeting

Core Responsibilities

• Build and deploy AI agents using LangGraph

• Develop backend-heavy AI solutions using Python and FastAPI

• Design and implement:

• RAG pipelines

• Text-to-SQL systems

• Prompt-engineered agent workflows

• Business data summarization tools

• Integrate AI capabilities into existing enterprise applications

• Work with structured datasets, particularly PostgreSQL

• Collaborate closely with business teams and AI leadership

• Support frontend updates using TypeScript when required

Required Technical Skills

Backend (Primary – Must Have)

• Strong proficiency in Python

• Hands-on experience with FastAPI

• Strong SQL skills

• Experience with PostgreSQL

• Experience designing APIs and production systems

AI / Agentic Frameworks (Critical)

• Hands-on experience with LangGraph

• Strong understanding of:

• Agent orchestration

• Prompt engineering

• RAG architectures

• Text-to-SQL pipelines

• Experience building production-ready AI agents

Frontend (Secondary)

• Working knowledge of TypeScript

• Ability to support UI changes when required Show full description Report this listing Loading...