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Senior Backend Developer - LLM Agent Platform

TESTQ Technologies

5 - 10 years

Hyderabad

Posted: 22/02/2026

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Job Description

About the Role

Seeking a Senior Backend Developer to build and scale a production-grade LLM agent platform. Youll work with advanced AI orchestration (LangGraph, LangChain), high-performance async Python services, real-time streaming, multi-provider LLM integrations, and enterprise-grade safety/guardrails. This is not prototype workthe platform is fully tested, observable, documented, and built for scale.

Core Tech Stack

Backend & Services

  • Python 3.11+, async/await, mypy (strict typing)
  • FastAPI for async APIs (OpenAPI docs)
  • Pydantic v2
  • UV package manager
  • Docker (optimized multi-stage builds)

AI & Orchestration

  • LangGraph + LangChain workflows
  • Multi-provider LLM support (OpenAI, Anthropic, Azure OpenAI, OpenRouter)
  • Dynamic model switching
  • Human-in-the-loop (HITL) patterns
  • Guardrails AI (PII, toxicity, prompt injection protection)
  • MCP for external tool integrations

Infrastructure / DevOps

  • PostgreSQL / SQLite / Redis for checkpointer
  • Server-Sent Events (SSE) streaming
  • OpenTelemetry, LangSmith
  • GitHub Actions CI/CD
  • Health/readiness checks + structured logging

Key Responsibilities

Architecture & Development

  • Build LLM agents using LangGraph
  • Implement MVCS architecture (Handler Service Gateway)
  • Develop internal/MCP tools and multi-provider LLM gateways
  • Build streaming endpoints with guardrails
  • Optimize async workflows for high concurrency

Code Quality & Testing

  • Write unit/integration/E2E tests (pytest)
  • Enforce strict typing (mypy) + code standards (Ruff)
  • Review PRs, maintain architecture boundaries
  • Document APIs, decisions, troubleshooting

Production & Operations

  • Deploy horizontally scalable, stateless services
  • Implement observability: tracing, logging, metrics
  • Improve LLM provider performance/cost
  • Implement safety guardrails
  • Troubleshoot across FastAPI, LangGraph, and LLM integrations

Collaboration

  • Participate in API design
  • Mentor junior engineers
  • Contribute to documentation & architecture decisions

Required Qualifications

  • 5+ years Python experience
  • Strong async/await, FastAPI (or similar async frameworks)
  • Experience with LLM APIs
  • Docker + cloud deployment
  • Strong understanding of REST, layered architecture, type systems
  • Expertise in testing, CI/CD, security, and performance tuning
  • Experience with streaming (SSE/WebSockets) and scalable systems

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