Description

We are seeking a 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 architecture 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.

• data scientist

• Can do ML model

Roles & Responsibilities

• Design, develop, and deploy GenAI applications using LLMs.

• Build and implement agentic workflows using LangChain/LangGraph.

• Develop ML models and production-ready AI solutions.

• Implement and manage LLM memory and state management strategies.

• Optimize prompts, retrieval pipelines, and orchestration workflows.

• Collaborate with product and platform teams to deliver scalable AI solutions.

• Deploy, monitor, and maintain AI/ML systems in production environments.

• Evaluate and integrate open-source and proprietary LLMs

Key Skills

Education

Any Gradute