We are seeking a Lead AI Engineer to spearhead the development of advanced agentic Workflows and large language model (LLM) systems at Nexthire. The ideal candidate will lead the design and deployment of enterprise-grade AI/ML solutions in collaboration with product and engineering teams.
What You'll Do
- Design and build agentic workflows leveraging modern frameworks.
- Develop robust LLM evaluation, tracing, and prompt ops pipelines.
- Lead MCP (Model Context Protocol) based system integrations.
- Deploy and scale AI/ML solutions with enterprise-grade reliability.
- Collaborate with product and engineering teams to deliver high-impact solutions.
What We're Looking For
- Proficiency with LangChain, LlamaIndex, or similar agentic frameworks.
- Hands-on experience with LLM evaluation platforms (e.g., Langsmith, Arize, DeepEval).
- Strong background in prompt engineering and prompt operations.
- Expertise in deploying and managing AI/ML models in production environments.
- Solid programming skills in Python and relevant AI/ML libraries.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving and communication skills.
Technical Stack
- LangChain
- LlamaIndex
- Langsmith
- Arize
- DeepEval
- Python
- AWS
- Azure
- GCP
- MLOps
Team & Environment
The role is part of the Product Engineering team, which has over 110 members. This position reports to an undisclosed manager.
Work Mode
This is a hybrid role with team locations in New Delhi and Remote. Work location flexibility is available within these parameters.