Description :

Job Summary :

We are looking for an experienced AI Specialist to design, build, and deploy advanced AI solutions leveraging foundation large language models (LLMs) and agentic architectures. The role focuses on developing scalable, secure, and cost-efficient AI systems, integrating multi-agent workflows into existing enterprise applications, and enabling intelligent automation across business processes.

Key Responsibilities and Role Requirements :

- Proficient with Foundation LLM models, their APIs, cost models, prompt engineering best practices to reduce cost and improve performance.

- Ability to Design and deploy multi-agent system architectures using frameworks like LangChain, LangGraph, or CrewAI, emphasizing inter-agent communication and task decomposition.

- Build robust APIs (FastAPI) and backend infrastructure to ensure AI solutions are performant, secure, and scalable.

- Embed agentic workflows into existing software stacks and business processes without disrupting core operations.

- Utilize emerging standards like MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols to enable standardized data exchange.

- Deep proficiency with Foundation Models (GPT-4, Claude 3.5, Llama 3) and their respective APIs/parameter tuning.

- Advanced Python programming and experience building RESTful services with FastAPI.

- Familiarity with Azure AI Studio or AWS Bedrock, including CI/CD patterns for AI.

- Experience with Databricks (Unity Catalog, Mosaic AI) for data-centric AI workflows.

- Ability to build systems that learn from feedback loops and improve over time.