Senior AI Engineer

We are looking for a Senior AI Engineer We are seeking a hands-on Senior AI Engineer to help design and build advanced AI and agentic applications. This individual will bring strong technical depth in AI/ML, Python, LLMs, and agentic systems and will be responsible for helping shape technical solutions while remaining actively involved in development and implementation.

: • Design and build AI-powered and agentic applications using Python, LLMs, LangChain, and LangGraph. • Help define technical solutions and architecture for complex AI and multi-agent workflows. • Design and implement agent orchestration, including multi-step and multi-turn workflows, tool usage, memory, and interactions between agents and external systems. • Build and optimize RAG pipelines, including retrieval strategies, embeddings, vector search, and integration with enterprise knowledge sources. • Contribute to the integration and use of Knowledge Graphs and structured data within AI applications. • Work with MCP and AI skills/tool integrations to connect AI agents with external applications, APIs, and enterprise systems. • Apply strong understanding of LLMs and Machine Learning concepts to make informed decisions around model selection, performance, cost, reliability, hallucinations, and guardrails. • Develop and improve prompt strategies and agent behavior. • Define and implement approaches for LLM evaluation, AI testing, debugging, and performance optimization. • Troubleshoot complex AI workflows, including multi-turn conversations, retrieval issues, hallucinations, tool failures, and orchestration challenges. • Help establish best practices around AI security, data privacy, and responsible AI development. • Collaborate with engineers and technical teams to translate business problems into scalable AI solutions.

: • 10 years of overall experience in Software Engineering, Machine Learning, Data Science, AI Engineering, or a related technical field. • Strong hands-on programming experience with Python. • Strong background in Machine Learning, Data Science, or AI/ML concepts. • Hands-on experience building AI or agentic applications using LLMs. • Experience with AI agent frameworks such as LangChain and/or LangGraph. • Experience designing or implementing RAG pipelines. • Understanding of LLM behavior and limitations, including tokens, context management, hallucinations, guardrails, performance, and cost considerations. • Experience with prompt engineering and agentic workflows. • Experience with or strong familiarity with MCP (Model Context Protocol) and AI tool or skills integrations. • Experience with LLM evaluation, testing, debugging, and optimization. • Knowledge of NLP concepts and techniques. • Experience working with APIs and integrating AI applications with external tools and enterprise systems. • Strong understanding of data privacy and security considerations when developing AI applications. • Ability to independently analyze technical problems and recommend appropriate AI solutions and designs. Preferred Skills: • Experience with multi-agent systems and orchestration. • Experience with Knowledge Graphs. • Experience with vector databases, embeddings, and semantic search. • Experience deploying AI/ML applications in cloud environments. • Experience building production-grade AI applications in an enterprise environment.