Experience:

• 5–8 years of experience in software engineering
• 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 GenAI orchestration frameworks (LangChain or similar)
• 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 (prompting, integrations, APIs)
• Hands-on experience with RAG pipelines and vector databases
• Experience with GitHub (branching, pull requests, code reviews)

Qualification:

• 5–8 years of experience in software engineering with strong expertise in Python

Role Focus:

• Design and develop scalable backend services and APIs
• Build and deploy GenAI applications
• Architect end-to-end solutions on GCP
• Deploy and manage services
• Implement engineering best practices
• Collaborate with cross-functional teams
• Mentor junior engineers

More skills:

AI agents, Google ADK, Model Context Protocol (MCP), vector databases, Jira

Other:

• Full-time
• No travel
• Req ID: 261881
• Use GitHub for version control, code reviews, and maintain clean, production-grade code
• Familiarity with Agile workflows and tools like Jira