Description

You will build and maintain scalable, AI-driven applications and production-ready backend services.

This role is on-site.

Responsibilities

• Design, build, and maintain high-performance APIs using FastAPI.
• Develop and integrate solutions using LangChain, LlamaIndex, or AutoGen.
• Train, fine-tune, and deploy Generative AI models.
• Implement MLOps practices including model versioning, monitoring, and automation pipelines.
• Containerize applications with Docker and deploy to orchestration platforms like AWS ECS.

Required Skills

• 5–10 years of experience in Python development and backend API frameworks, specifically FastAPI.
• Hands-on experience with LangChain, LlamaIndex, or AutoGen frameworks.
• Proficiency in Generative AI model training, fine-tuning, and deployment strategies.
• Practical knowledge of MLOps and model lifecycle management.
• Experience with Docker containerization and deployments via AWS ECS or similar.
• Expertise in Git for version control and code collaboration.
• Strong understanding of Machine Learning concepts and practical applications.

Preferred Skills

• Knowledge of NLP, Deep Learning architectures, and Vector Databases like FAISS or Pinecone.
• Familiarity with AWS, GCP, or Azure cloud platforms.

Key Skills

Education

Bachelor's or Master's degrees