Machine Learning Engineer

Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems.

Key Responsibilities

Develop and productionize GenAI applications using LLMs (open-source and closed-source).

Design agentic workflows using LangChain and LangGraph.

• Implement short-term and long-term memory strategies for LLM-based systems.
• Optimize prompts, retrieval pipelines, and orchestration logic.
• Collaborate with product and platform teams to deliver scalable AI solutions.

Required Qualifications

Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral).

Hands-on experience with LangChain and/or LangGraph.

• Solid understanding of LLM memory architectures and state management.
• Proficiency in Python and ML engineering best practices.

Nice to Have

• Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
• Experience deploying ML/GenAI systems in production environments.

Immediate to serving NP until month end.