- Design, develop, and deploy advanced Agentic AI systems that autonomously plan, reason, orchestrate tools, and execute multistep tasks.

- Provide deep hands on expertise across LLMs, agent frameworks, orchestration layers, retrieval systems, and tool integrations.

- Lead the development of production grade agentic applications while collaborating with architects, ML engineers, and product teams to deliver scalable, reliable, safe, and cost-efficient autonomous AI systems.

Knowledge & Skills :

- Strong expertise with LLM ecosystems including OpenAI, Azure OpenAI, Anthropic, Llama, and other transformer-based models; deep familiarity with prompt engineering and agent behavior patterns.

- Proficiency in Python and/or TypeScript with hands-on experience in agent frameworks such as LangChain, LangGraph, Semantic Kernel, or custom orchestration engines.

- Knowledge of RAG design patterns, retrieval pipelines, vector databases (Pinecone, Chroma, FAISS, Weaviate), and memory systems for autonomous agents.

- Understanding of AI safety, guardrails, hallucination mitigation, security controls, versioning, telemetry, and monitoring for production AI systems.

- Ability to lead hands-on development, guide engineering teams, review code, troubleshoot complex agent behaviors, and optimize for cost, latency, and reliability.

Mandatory Experience :

- 4 to 8 years of software development experience with at least 2 years hands-on building LLM/AI applications, autonomous agents, or orchestration-based systems.

- Demonstrated experience developing production-grade agentic workflows involving planning, reasoning, multi-step execution, and tool orchestration.

- Hands-on expertise integrating LLMs with APIs, structured data sources, vector stores, and cloud-native services across AWS/Azure/GCP.

- Experience building robust, modular, scalable AI applications following clean architecture principles, best coding practices, and automated testing.

- Strong debugging and optimization skills for LLM-driven pipelines, including prompt refinement, latency optimization, caching, and observability.

Preferred :

- Experience with multi-agent systems, goal-oriented planning (e.g., ReAct, LATS, OpenAI Swarm-style patterns), or autonomous workflow frameworks.