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Backend AI Engineer (Min 2 YOE)

Onsite or remote • Bengaluru+1💼 Full-time🗓 2026-06-25

Core

Designing and shipping backend systems and AI-powered workflows for enterprise clients and internal AI platforms.

Role type

Senior IC backend AI engineer

Builds

AI-powered workflows and backend services for enterprise products

Domain

Enterprise software / AI engineering

Deliverable

production ML models | product features

Required skills

TypeScript, Node.js, Python, PostgreSQL, Redis, LangChain, LangGraph, LLM API integration, REST APIs, microservices

Preferred skills

MCP, multi-agent orchestration, message queues, vector databases, DevOps/cloud

Technologies

LangChain, LangGraph, Anthropic/Claude API, TypeScript, Python, PostgreSQL, Redis, NestJS, Express, BullMQ, RabbitMQ, Kafka, Docker, AWS, GCP

Responsibilities

Design and build agentic workflows; Develop and maintain backend services; Integrate AI capabilities into client-facing products; Collaborate on core architecture; Contribute to prompt engineering standards and evaluation frameworks; Participate in technical reviews

Seniority

Mid-level, hands-on IC

Rewrite
## About the Role You'll work directly with the founding team designing and shipping backend systems and AI-powered workflows for enterprise clients and our internal AI platform. This is a high-ownership role, you own modules end-to-end, not tickets. Expect real problems, fast cycles, and work that actually ships. ## Responsibilities - Design and build agentic workflows using LangChain, LangGraph, and the Anthropic/Claude API - Develop and maintain backend services in TypeScript and Python - Integrate AI capabilities into client-facing enterprise products across industries - Collaborate with the founding team on core architecture and feature roadmap - Contribute to prompt engineering standards, evaluation frameworks, and internal tooling - Participate in technical reviews and help define engineering practices as the team grows ## Requirements - 2+ years of hands-on backend engineering experience in production environments - Strong logic and problem-solving instincts - Proficiency in TypeScript with Node.js (NestJS or Express) - Working knowledge of Python for AI/ML tooling and scripting - Hands-on experience with PostgreSQL and Redis in production - Exposure to LangChain or LangGraph for building agent pipelines - Familiarity with Claude API / Anthropic stack or equivalent LLM APIs - Comfort with REST APIs, microservices patterns, and production debugging ## Nice to Have - Experience with MCP (Model Context Protocol) or multi-agent orchestration - Familiarity with message queues - BullMQ, RabbitMQ, or Kafka - Vector database exposure - Pinecone, pgvector, ChromaDB, or similar - Basic DevOps/cloud familiarity - Docker, AWS/GCP, CI/CD pipelines - Prior exposure to enterprise software delivery in regulated industries ## About the Company [No content provided in the source text]
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