Lead AI Engineer / Data Scientist
We are looking for a Lead AI Engineer / Data Scientist to architect MCP-based agentic solutions with LLMs and Python across enterprise tools, APIs, and data. You will build production-grade conversational and automation workflows by integrating MCP servers/tools and improving orchestration, reliability, and context flow. Apply now to help ship dependable AI agents at scale
Responsibilities
- Design and optimize MCP-enabled AI agents and integrations
- Develop AI workflows that connect LLMs with enterprise systems and tools
- Enhance chatbot and agent reliability, context handling, and response quality
- Collaborate with product, engineering, analytics, and cloud teams
- Support AI evaluation, experimentation, and Responsible AI initiatives
Requirements
- Proven track record with 5+ years of experience in AI Engineering
- Hands-on experience with LLMs and Agentic AI solutions using OpenAI APIs on Azure
- Advanced proficiency in Python for building AI workflows, MCP integrations, and orchestration layers
- Practical experience integrating AI agents with external systems, APIs, databases, and tools using MCP and function calling patterns
- Strong background in designing and implementing MCP servers, tool schemas, and context-sharing mechanisms between AI systems and enterprise platforms
- Deep understanding of prompt engineering, context management, and multi-step agent orchestration
- Solid knowledge of hallucination prevention and evaluation techniques to improve reliability and response accuracy
- Clear understanding of Responsible AI and compliance best practices, including governance, security, and ethical AI guidelines
- Experience delivering NLP and Conversational AI systems in production environments
- Demonstrated ability 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 (Upper-Intermediate) level or higher
