4–7 yrsGurugramOn-siteDirect career pageEst. 30–45 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain scalable backend services and APIs incorporating AI and large language model (LLM) capabilities for web, mobile, and enterprise applications.
- Build, integrate, and operate production-grade LLM APIs and Retrieval-Augmented Generation (RAG) pipelines including ingestion, embedding, indexing, and retrieval.
- Design and manage AI workflow orchestration, agentic multi-step reasoning systems, and observability frameworks focused on performance, cost, and reliability optimization.
Minimum Requirements
- Proven backend engineering skills with expertise in Python, Node.js, Java, or Go and API design (REST/GraphQL).
- Production experience integrating with LLM APIs such as OpenAI, Anthropic, Gemini, or Azure OpenAI.
- Experience with RAG architectures, embedding techniques, vector databases, and AI orchestration tools like LangGraph, n8n, or Temporal.
- Work Experience Required: 4–7 years of backend engineering experience with system design fundamentals.
Ideal Candidate Profile
- Experienced in building AI-powered backend systems and agentic workflows deployed in production environments.
- Strong understanding of LLM operational challenges including hallucination mitigation, grounding, cost vs. performance tradeoffs, and AI observability.
- Comfortable working in structured, cross-functional teams delivering scalable enterprise-grade AI infrastructure and APIs.