As an AI Lead Engineer, you will drive the design and implementation of cutting-edge agentic workflows and large language model architectures. Your work will center on building intelligent systems that leverage modern AI frameworks to solve complex enterprise challenges.
Key Responsibilities
- Architect and implement agentic workflows using leading-edge frameworks and tools.
- Develop comprehensive evaluation pipelines for LLMs, including tracing, testing, and prompt operations.
- Lead integrations based on Model Context Protocol (MCP) to enhance system interoperability.
- Deploy, monitor, and scale AI/ML solutions with a focus on reliability and performance in production environments.
- Partner closely with product and engineering teams to align technical execution with business goals.
What You Bring
- Proven experience with LangChain, LlamaIndex, or comparable agentic frameworks.
- Hands-on background in LLM evaluation using platforms such as Langsmith, Arize, or DeepEval.
- Strong skills in prompt engineering and managing prompt lifecycle operations.
- Track record of deploying and maintaining AI models in production settings.
- Proficiency in Python and core AI/ML libraries.
- Experience with cloud infrastructure on AWS, Azure, or GCP, and MLOps practices.
- Effective communication and collaboration abilities across technical teams.
