NBBL- AI Engineers

National Payments Corporation of India (NPCI); Chennai, Mumbai Suburban; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

National Payments Corporation of India (NPCI) invites an AI Engineer to lead AI projects and build autonomous agents for innovative payment solutions. You will design, develop, and deploy multi-agent systems, integrating with internal tools, APIs, and enterprise data, driving scalable AI delivery.

You will work across product, data, and engineering teams to identify high-value use-cases, optimize performance, and stay at the frontier of LLM-based systems.

Qualifications

• 7 yrs+ experience in AI/ML or related fields.
• Strong Python programming skills and async patterns.
• Hands-on with LLM-powered applications and relevant frameworks.
• Experience deploying production AI systems on cloud platforms and with CI/CD.
• Familiarity with RAG, embeddings, and vector databases.

Responsibilities

• Design and develop single- and multi-agent systems with modern frameworks.
• Build agent capabilities: tool use, planning, memory, reflection, human-in-the-loop workflows.
• Integrate agents with external systems via APIs and connectors.
• Implement RAG pipelines with vector databases for context-aware behavior.
• Optimize prompts, loops, and orchestration for accuracy and cost.
• Build evaluation harnesses, guardrails, and observability for agents.
• Collaborate with product, data, and engineering to ship agent-based solutions.
• Stay updated on LLM advances and agent architectures.

Skills

Python programming

LLM applications

Agent design patterns

Frameworks (LangChain, LangGraph, LLa—

APIs & multi-agent collaboration

Cloud & DevOps (AWS/Azure/GCP, Docker,

RAG & vector databases

Prompt engineering

NLP/ML research

Education

BE/B.Tech / ME/M.Tech / MCA / MSc or equivalent (AI/ML/Data Science/CS)

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

OpenAI

Anthropic Claude

Google Gemini

Pinecone

Weaviate

Qdrant

Chroma

LangSmith

Langfuse

Arize

Docker

CI/CD

AWS

Azure

GCP

MCP

Temporal

Airflow

Prefect

Job description

The opportunity

Lead AI projects and drive growth of the NBBL products by building and managing strategic AI agents and solutions. Own AI delivery, expand possibilities, and enable co-creation of innovative payment solutions while ensuring seamless execution through cross-functional collaboration. Design, build, and deploy autonomous AI agents that can reason, plan, use tools, and execute multi-step workflows. Will work at the frontier of LLM-based systems, building production-grade agents that integrate with internal tools, APIs, and enterprise data to automate complex business processes.

Job details

Job Title: AI Engineer

Years of Experience: 7 yrs+

Education: BE/B.Tech / ME/M.Tech / MCA / MSc or equivalent (AI/ML/Data Science/Computer Science or related fields preferred)

Full-time

Location: Mumbai/ Hyderabad/Chennai

Permanent Role

Key responsibilities

• 1. Design and develop single- and multi-agent systems using frameworks like LangGraph, LangChain, CrewAI, AutoGen, or similar.


• 2. Build agent capabilities including tool use, planning, memory, reflection, and human-in-the-loop workflows.


• 3. Integrate agents with external systems via APIs, MCP (Model Context Protocol) servers, and custom connectors.


• 4. Implement RAG pipelines using vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.) for context-aware agent behavior.


• 5. Optimize prompts, agent loops, and orchestration for accuracy, latency, and cost.


• 6. Build evaluation harnesses, guardrails, and observability for agent performance (LangSmith, Langfuse, Arize, or similar).


• 7. Collaborate with product, data, and engineering teams to identify high-value agentic use cases and ship them to production.


• 8. Stay current with advances in LLMs, reasoning techniques, and agent architectures.

Key skills and experience required

• 1. Strong Python programming skills, including async patterns.


• 2. Hands-on experience building LLM-powered applications with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.


• 3. Solid understanding of agent design patterns: ReAct, planning, tool use, multi-agent collaboration, and memory.


• 4. Experience with leading LLM APIs (Anthropic Claude, OpenAI, Google Gemini, open-source models).


• 5. Working knowledge of RAG, embeddings, and vector databases.


• 6. Prompt engineering and structured output techniques (function calling, JSON schemas, tool definitions).


• Experience deploying production systems on AWS / Azure / GCP, with Docker and CI/CD.


• 8. Experience with MCP (Model Context Protocol), browser-use, or computer-use agents.


• 9. Fine-tuning, LoRA, or model distillation experience.


• 10. Knowledge of evaluation frameworks (RAGAS, DeepEval, custom evals).


• 11. Experience with workflow orchestration (Temporal, Airflow, Prefect). 12. Familiarity with safety, alignment, and red-teaming practices for LLM systems.


• 13. Background in NLP, ML, or applied research.