Broad areas of responsibility
- Design, develop, and maintain scalable backend services and APIs.
- Build microservices and event-driven architectures for AI-powered applications. Develop secure and performant RESTful and/or GraphQL APIs.
- Implement authentication, authorization, rate limiting, and monitoring.
- Integrate Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Google, or open-source models.
- Build Retrieval-Augmented Generation (RAG) pipelines.
- Design and maintain vector search and semantic retrieval systems.
- Develop AI agent orchestration workflows and tool integrations.
- Optimize inference latency, throughput, and operational costs.
- Design efficient database schemas and data pipelines. Manage structured and unstructured data used by AI systems.
- Implement caching, queueing, and asynchronous processing workflows.
- Build observability, logging, and monitoring solutions for AI services Person Profile
- Bachelor’s degree in computer science, Information Technology, Engineering, or related discipline.
- 7+ years solid industry experience
. Ability to lead and mentor junior team members, and collaborate effectively in cross functional teams.
- Data Science, Machine Learning, or Generative AI certification from recognized platforms Experience building AI-native or LLM-powered applications.
- Experience with: LangGraph, LangChain, Model Context Protocol (MCP) Technical Skills Backend: Python / FastAPI, Java, REST APIs, WebSockets AI & LLMs: OpenAI APIs, Anthropic APIs, Embeddings, RAG, AI Agents.
- Shift : Straddle 3:00 PM – 12:00 PM
- Work Week: Monday to Friday
- Full-time Location: IND
Pay: ₹1,500,000.00 - ₹2,500,000.00 per year
Benefits:
- Flexible schedule
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: Remote
