Agentic AI Engineer

Job description

Exp: 5-8 Years Notice: Immediate–30 Days Job Location: Pune Work Mode: Hybrid Mandatory Technical Skills: Agentic AI, LLMs, Microsoft Foundry, Fabric IQ, Gemini Enterprise - Vertex AI or AWS Bedrock, Langgraph, MLflow/langfuse Required Experience • 5–8 years of overall IT experience. • 3+ years of hands-on experience in Generative AI and Agentic AI development (must-have). • Must have worked on at least 2 production projects or 2 customer deployments in GenAI/Agentic AI (must-have). • Hands-on experience with at least one hyperscaler GenAI platform — Microsoft Foundry, Fabric IQ, Gemini Enterprise (Vertex AI), AWS Bedrock, or Kiro (must-have). • Working knowledge of Snowflake and/or Databricks (must-have). • Hands-on experience with LangGraph for agent orchestration (must-have). • Exposure to DSLM (domain-specific/small language models) (must-have). • Hands-on experience with MLflow and/or Langfuse for LLMOps and observability (must-have). • Experience supporting pre-Sales, solution design, and customer-facing engagements. Core Skills & Expertise • Multi-agent system design, tool calling, memory management, and agent orchestration. • Large Language Models (LLMs) and foundation models; prompt engineering and lifecycle management. • RAG architecture and mitigation of hallucinations / reliability patterns. • Cloud-native development practices (APIs, microservices, event-driven design). • Data engineering fundamentals with Snowflake/Databricks. • Model observability, monitoring, and cost-conscious engineering. Preferred Attributes • Prior customer project experience in the Agentic AI space. • Strong R&D mindset with willingness to rapidly learn and prototype new tools/frameworks as they launch. • Ability to join at short notice. • Based in or willing to relocate to Pune. Soft Skills • Strong hands-on problem-solving and debugging ability. • Clear communication with customers and internal stakeholders. • Collaborative, self-driven, and delivery focused.