Python Engineer with Agentic AI

Enexus Global Inc.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Enexus Global Inc. in New York seeks a Senior Python Engineer with expertise in agentic AI to own end-to-end delivery of enterprise AI capabilities.

You will build scalable APIs and AI applications using Python, FastAPI/Flask, and TypeScript, collaborating with Product Owners, Architects and Data Scientists to deploy robust solutions.

The role requires leadership across the SDLC, strong governance, and hands-on mentoring of engineering teams in a fast-paced cloud-native environment.

Qualifications

• 12+ years software engineering with Python, AWS, and TypeScript.
• Own end-to-end delivery with minimal supervision.
• Experience building AI apps using Python, FastAPI/Flask, LangChain/LlamaIndex.
• Strong expertise in agentic AI architecture, multi-agent systems, planning and memory.

Responsibilities

• Own user stories from requirement analysis through development, testing, deployment, and production support.
• Design scalable APIs, microservices, and cloud-native AI solutions on AWS.
• Collaborate with Product Owners, Architects, Data Scientists and Platform teams.
• Mentor teams and drive engineering excellence across the SDLC.

Skills

Python

AWS

Typescript

End-to-end delivery

Agentic AI

FastAPI/Flask

LangChain/LlamaIndex

Microservices

Cloud-native AI

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

OpenAI Agents SDK

Vector databases

Tool calling

Function calling

Job description

Position : Python Engineer with Agentic AI

Location: New York

Jd

• 12+ years of software engineering experience with strong expertise in Python, AWS and Typescript.
• Candidate should be owning end-to-end delivery with minimal supervision.
• Extensive experience building AI applications using Python (FastAPI, Flask, LangChain/LlamaIndex) and TypeScript (Node.js, NestJS, Express) for backend services, AI agents, and orchestration layers.
• Strong expertise in Agentic AI architecture, including agent design patterns, multi-agent systems, planning, reasoning, memory management, tool/function calling, and workflow orchestration.
• Hands-on experience with orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or similar enterprise AI frameworks
• Hands-on experience designing and implementing Agentic AI solutions, autonomous workflows, and enterprise AI applications.
• Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications.
• Ability to independently own user stories from requirement analysis through development, unit testing, peer reviews, Dev/UAT testing, deployment, and production support.
• Experience developing scalable APIs, microservices, and cloud-native AI solutions on AWS.
• Strong understanding of prompt engineering, AI governance, observability, evaluation frameworks, and model optimization.
• Collaborate with Product Owners, Architects, Data Scientists, and Platform teams to deliver enterprise AI capabilities.
• Mentor engineering teams and drive engineering excellence across the complete SDLC.