Job Summary :

We are seeking a highly skilled Agentic AI Engineer to design, develop, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience building AI agents, multi-agent systems, and RAG-based applications using modern AI orchestration frameworks.

Key Responsibilities :

- Design and develop AI agent workflows using frameworks such as LangGraph, LangChain, or Semantic Kernel.

- Build and optimize LLM-powered applications leveraging prompt engineering, tool/function calling, and structured outputs.

- Implement agentic architectures including Planner-Executor, ReAct, Multi-Agent, and Supervisor-Worker patterns.

- Develop RAG solutions using vector databases and enterprise data sources.

- Manage agent memory, context, state management, and workflow orchestration.

- Integrate APIs, enterprise tools, and external services into AI workflows.

- Build automated testing, evaluation, monitoring, and observability frameworks for AI agents.

- Deploy and maintain AI solutions on AWS, Azure, or GCP environments.

- Collaborate with business and technical stakeholders to translate requirements into scalable AI solutions.

Required Skills :

- 6-10 years of technology consulting/software development experience with 3+ years in AI/ML, GenAI, or LLM-based solutions.

- Strong experience in Prompt Engineering and AI Agent development.

- Hands-on expertise with LangGraph, LangChain, or Semantic Kernel.

- Strong programming skills in Python (preferred) or TypeScript/JavaScript.

- Experience with RAG, embeddings, vector databases (Pinecone, FAISS, Azure AI Search), and AI workflow orchestration.

- Knowledge of cloud platforms (AWS, Azure, or GCP), GitHub, CI/CD, and DevOps practices.

- Experience creating HLDs, LLDs, and technical solution designs.