Gen AI Engineer

Our is Client is a largest Top 5 Software giant in India, with over 11.3 USD billion dollars revenue, Global work force 2,40,000 employees, It delivers end-to-end technology, consulting, and business process services to clients across the globe, Presence: 60+ countries and Publicly traded company NSE & BSE (India), NYSE (USA).

· Job Title: Gen Ai Engineer

· Location: Pune

· Experience: 4 + years

· Job Type : Full Time Permanent

· Notice Period:- Immediate joiners

. Client : MNC Client

Key Responsibilities

• Design & Build Agentic AI Systems: Develop autonomous AI agents for planning, reasoning, and executing multi-step tasks with minimal human intervention.
• Workflow Automation: Identify and automate repetitive business processes using AI agents to improve efficiency.
• Developer Productivity Tools: Build AI-powered solutions for code generation, debugging, refactoring, and documentation across SDLC.
• Business Impact: Collaborate with stakeholders to design AI solutions that improve KPIs such as revenue, cost optimization, and customer experience.
• Enterprise Integration: Develop APIs and integrate AI agents with enterprise platforms, databases, and collaboration tools.
• Multi-Agent Orchestration: Implement frameworks to coordinate multiple AI agents for complex workflows.
• Ethics & Safety: Apply guardrails, monitoring, and security measures to ensure responsible AI usage and prevent adversarial attacks.
• Continuous Innovation: Stay updated on advancements in LLMs, agentic AI, and emerging technologies to enhance solutions.

Required Skills & Experience

• Experience: 4+ years in AI/ML development, focusing on agentic or autonomous systems.

• Programming

  : Strong expertise in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face).

• Deep knowledge of LLM ecosystems

  (e.g., Azure OpenAI/OpenAI, Anthropic, Google, Meta): prompting, function calling, MCP (Model Context Protocol), Agent-to-Agent (A2A), token/cost management.

• Expertise in RAG and Memory systems

  : vector DBs (FAISS, Pinecone, Milvus, pgvector/Postgres, Elastic/OpenSearch), embedding strategies, and rerankers.

• Understanding of LLMOps and eval tooling:

  LangSmith, TruLens, Ragas, DeepEval, W&B, MLflow; prompt caching/compression; distillation.

• Agentic Frameworks:

  Hands-on experience with AI agent orchestration tools and multi-agent coordination - LangGraph, AutoGen, Sematic Kernel, CrewAI (or similar) and tool integrations.

• API Development:

  Proficiency in FastAPI/Flask and system integration.

• Hands-on with coding agents & IDEs

  : GitHub Copilot, Cursor, Claude Code etc. and IDE integrations (VS Code/IntelliJ/JetBrains); expert in vibe coding workflows.

• Cloud Platforms:

  Familiarity with AWS, Azure, or GCP for AI deployment.