Design, build, and maintain backend services and APIs using Python (FastAPI)
Develop and scale GenAI and agentic AI applications using frameworks such as LangChain / LangGraph, ADK, Agent Engine, CrewAI, MCP/A2A, and others
Work across cloud environments—primarily GCP (Cloud Run/GKE, Composer, Pub/Sub, BigQuery, AlloyDB/Cloud SQL)—or equivalent cloud platforms
Build data-driven features, pipelines, and integrations that power intelligent applications
Collaborate with cross-functional teams to translate product requirements into robust backend and data solutions
Explore and understand existing systems with minimal guidance, proposing improvements and driving initiatives independently
Contribute to architectural decisions, code quality, and engineering best practices.

Bachelor Degree 6 to 7 Years
5+ years of hands-on backend engineering experience, with a strong foundation in building scalable backend and data products
Proficiency in Python, especially FastAPI, and strong SQL skills
Experience developing GenAI/agentic AI applications using modern frameworks and toolkits
Solid understanding of cloud-native development on GCP or similar cloud platforms
Ability to navigate large codebases, learn quickly, and operate with minimal supervision
Strong problem-solving skills and a bias toward action.

5+ years of hands-on backend engineering experience
Proficiency in Python, especially FastAPI, and strong SQL skills
Experience developing GenAI/agentic AI applications using modern frameworks and toolkits
Solid understanding of cloud-native development on GCP or similar cloud platforms
Ability to navigate large codebases, learn quickly, and operate with minimal supervision
Strong problem-solving skills and a bias toward action.

Software Developer, Backend, GenAI

Key skills