Lead Assistant Manager

key Responsibilities:

• Fine-tune and adapt open-source LLMs (e.g., LLaMA 4, Mistral and Bert) using NVIDIA GPU tools.

• Build AI agents using frameworks like LangChain, LangGraph, or AutoGen with structured workflows (memory, tools, retries, etc.).

• Implement hybrid LLM solutions using OpenAI/Claude APIs and open-source models.

• Develop APIs using FastAPI and containerize apps with Docker.

• Deploy, monitor, and scale AI solutions on AWS, Azure, or similar cloud providers.

• Collaborate with senior engineers to optimize performance and reliability of deployed systems.

Requirements:

• Hands-on experience with LLM fine-tuning and NVIDIA GPU toolkits (CUDA).

• Familiarity with LangChain or similar agent frameworks.

• Experience developing APIs with FastAPI and deploying via Docker.

• Proficiency in using OpenAI/Anthropic APIs and building basic RAG pipelines.

• Solid foundation in Python, cloud deployment (AWS/Azure), and vector databases (e.g., FAISS, Pinecone).

Nice to have:

• Exposure to tools like LangServe and Semantic Kernel

• Familiarity with CI/CD pipelines and monitoring tools (e.g., GitHub Actions, Prometheus).

• Contribution to open-source AI/ML projects.

Soft Skills:

• Strong communication skills - both verbal and written
• Excellent problem-solving and debugging skills
• Self-motivated with the ability to work independently and in a team
• Comfortable working with stakeholders across different time zones

Working Hours:

General Shift: 1:30 PM to 11:30 PM IST

Flexibility to extend hours based on critical deployments or support needs