Description :

The Role :

We are seeking an AI Engineer to spearhead the development of advanced agentic workflows and large language model (LLM) systems. The ideal candidate should bring deep expertise in agent building, LLM evaluation/tracing, and prompt operations, combined with strong deployment experience at scale.

Primary Skill : Python, NodeJs, Gen AI, Langchain, Langraph

Secondary Skill : AI/ML, AWS/Azure/GCP, and MLOps

Your Responsibilities :

- 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.

The Skills you'll need :

- 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.

- Hands-on experience with Full Stack - MERN for building applications.

- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.

- Excellent problem-solving and communication skills

Good to have skills :

1. Self-starter and highly motivated individual who is prepared to use his/her own initiative in understanding and following up on issues.

2. Takes ownership and responsibility of problems through to resolution.

3. Keen to learn business processes and technical skills.

4. Ability to work under pressure and multitask when necessary.

5. Hands-on experience using tools like Trello, Gitlab, and Zoom.