Senior AI Engineer / Data Scientist
We are seeking a Senior AI Engineer / Data Scientist with expertise in Model Context Protocol (MCP), Large Language Models (LLMs) and Python to design and implement AI-powered agentic solutions integrated with enterprise tools, APIs and data sources. The ideal candidate has strong experience building AI agents, integrating MCP servers/tools and developing reliable, production-grade conversational and automation workflows.
Responsibilities
- Build and optimize MCP-enabled AI agents and integrations
- Develop AI workflows connecting LLMs with enterprise systems and tools
- Improve chatbot/agent reliability, context handling and response quality
- Collaboration with product, engineering, analytics and cloud teams
- Support AI evaluation, experimentation and Responsible AI initiatives
Requirements
- 3+ years of experience in AI Engineering
- Expertise in LLMs and Agentic AI solutions using OpenAI APIs on Azure
- Advanced proficiency in Python for developing AI workflows, MCP integrations and orchestration layers
- Hands-on experience integrating AI agents with external systems, APIs, databases and tools using MCP and function calling patterns
- Background in designing and implementing MCP servers, tool schemas and context-sharing mechanisms between AI systems and enterprise platforms
- Understanding of prompt engineering, context management and multi-step agent orchestration
- Knowledge of hallucination prevention and evaluation techniques to improve reliability and response accuracy
- Understanding of Responsible AI and compliance best practices, including governance, security and ethical AI guidelines
- Experience with NLP and Conversational AI systems in production environments
- Capability to troubleshoot AI agent workflows, tool integrations and context synchronization issues across distributed systems
- Familiarity with LiteLLM, RAG and Function Calling
- English proficiency at B2 level or higher
