Python Agentic AI Engineer - Autonomous Systems

Ascendion • India
Remote
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AI Summary

Design and develop autonomous AI agents using Python, LangGraph, and FastAPI. Build production-grade, multi-agent workflows and solve complex concurrency problems. Work remotely with a top-tier team.

Key Highlights
Autonomous AI agent development
Multi-agent workflow architecture
Concurrency problem-solving
Production-grade Python code
Technical Skills Required
Python LangGraph FastAPI Async/await Concurrency patterns Clean architecture
Benefits & Perks
100% remote work
Collaborate with a top-tier team
Real impact on live systems used by [Insert User Base Size] users

Job Description


Job Title: Python Agentic AI Engineer

Location: Remote (PAN India)

Job Type: Full-time


🚀 Build the Next Generation of Autonomous AI (Not Just Chatbots)

Are you tired of wrapping simple prompts around LLMs? We are looking for a Python Agentic AI Engineer who wants to build true autonomous systems—agents that plan, reason, execute tools, and solve complex real-world problems.


This is a 100% Remote (PAN India) role for a builder who loves deep technical challenges.


👇 The Challenge You won’t just be fine-tuning models. You will architect production-grade, multi-agent workflows using LangGraph. You will solve hard concurrency problems (like async embedding generation for heavy document loads) and build resilient RAG pipelines that don't just hallucinate—they cite their sources.


🛠 What You Will Build

  • Autonomous Agents: Design stateful multi-agent architectures that handle complex decision-making loops.
  • High-Scale Python Systems: Write production-ready async Python code. You’ll use semaphores to manage concurrency and optimize vector embedding generation for large datasets.
  • Orchestration Mastery: Implement LangGraph workflows, managing subgraphs, conditional edges, and agent memory.
  • Robust APIs: Build modular FastAPI services, handling complex routing and exposing endpoints from multiple microservices into unified Swagger UIs.
  • Advanced RAG: Tackle multi-tenancy in Vector DBs and ensure agents provide accurate citations for every claim.


✅ Must-Have Skills

  • Agentic AI Experience: Proven track record of deploying LangGraph or similar agentic workflows in production.
  • Python Proficiency: Strong grasp of async/await, concurrency patterns, and clean architecture.
  • API Development: Expert-level knowledge of FastAPI.
  • Production Mindset: Experience with CI/CD for AI agents and handling LLM rate limits/failures gracefully.


🌟 Why Apply?

  • Work Remotely: Collaborate with a top-tier team from anywhere in India.
  • Cutting-Edge Stack: We are pushing the boundaries of what Agentic AI can do.
  • Real Impact: Your code will power live systems used by [Insert User Base Size] users.


Polish your CV accordingly. Do mention experience in Building and deploying Multiple Agentic AI systems that are Production grade (live) in the Projects - roles and responsibilities section of attached resume.


Ready to ship autonomous agents? Apply now.


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