Backend Software Engineer responsible for building backend services and data-centric products with an emphasis on GenAI applications. Collaborating across teams and cloud environments to deliver solutions.
Responsibilities
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.
Requirements
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.
Nice-to-Have Skills: Experience with Java/Spring Boot; Knowledge of data modeling, distributed systems, and event-driven architectures; Familiarity with container orchestration, CI/CD, and infrastructure-as-code.
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