Senior AI/ML Engineer

Responsibilities

• Design and develop scalable backend services and APIs using Python (Fast API / Django)
• Build and deploy GenAI applications including RAG pipelines, AI agents, and LLM integrations
• Architect end-to-end solutions on GCP, covering data ingestion, processing, model integration, and deployment
• Deploy and manage services using Cloud Run, Vertex AI, and other GCP components
• Implement engineering best practices including CI/CD, logging, monitoring, and performance optimization
• Collaborate with cross-functional teams and manage work through Jira
• Use GitHub for version control, code reviews, and maintain clean, production-grade code
• Mentor junior engineers and contribute to technical design and standards

Requirements

• 5–8 years of experience in software engineering with strong expertise in Python
• Hands-on experience with backend frameworks such as Fast API and Django
• Experience building RESTful APIs and scalable microservices
• Strong experience with Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, Dataflow, PostgreSQL)
• Experience with AI agents, Google ADK, and Model Context Protocol (MCP)
• Exposure to GenAI orchestration frameworks like LangChain
• Experience working with unstructured data (PDFs, documents, engineering data)
• Knowledge of cloud cost optimization and system performance tuning
• Experience working with LLMs and GenAI use cases
• Hands-on experience with RAG pipelines and vector databases
• Experience with GitHub and Agile workflows

About the Company

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. We help businesses reach their own "inflection point," where chaotic data becomes a strategic asset and AI becomes an engine for growth.