Role & responsibilities
Design and develop AI Agents and agentic workflows for enterprise use cases.
Build production-grade LLM-powered applications using Python.
Develop RAG (Retrieval-Augmented Generation) solutions using enterprise data.
Design agent capabilities including tool/function calling, planning, reasoning, memory, and orchestration.
Integrate AI agents with enterprise APIs, databases, applications, and external tools.
Build multi-step workflows where agents can execute tasks and interact with multiple systems.
Develop prompt strategies, structured outputs, guardrails, and evaluation frameworks.
Work with LLMs, embedding models, vector databases, and enterprise knowledge bases.
Implement AI-agent monitoring, observability, logging, and performance evaluation.
Optimize AI solutions for accuracy, latency, scalability, reliability, and cost.
Collaborate with Software Engineers, Architects, Product, Data, and Business teams.
Ensure AI solutions meet enterprise requirements for security, privacy, governance, and responsible AI




Deploy and maintain AI applications in production environments.
6 to 8 years relevant AI / Generative AI experience
Python
Generative AI / LLMs
AI Agents / Agentic AI
RAG
LangGraph / LangChain / equivalent
Tool / Function Calling
Vector Databases
Prompt Engineering
REST APIs / Microservices
Cloud / Docker
LLM Evaluation & Observability
Pune location

Preferred candidate profile
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
8 years of total IT/software engineering experience.
6 to 8 years of relevant experience in AI, Generative AI, NLP, or related areas.
Solid hands-on experience building and deploying production-grade Generative AI solutions.
Proven experience building LLM-based applications and AI Agents.
Robust problem-solving, system-design, and communication skills.

📌 Artificial Intelligence Engineer Pune (India)
🏢 Expleo
📍 India