Artificial Intelligence Engineer

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.
• Strong hands-on experience building and deploying production-grade Generative AI solutions.
• Proven experience building LLM-based applications and AI Agents.
• Strong problem-solving, system-design, and communication skills.