Python Developer

Full Stack Python Developer | Software Developer – GenAI Productization

Experience: 4–6 years

Role Summary

We are seeking an experienced Python Developer to join our GenAI team, focused on transforming proof-of-concepts (POCs) into production-grade systems. You will build and scale backend services capable of handling high concurrency, asynchronous processing, queueing, and real-time streaming. The ideal candidate has a strong foundation in backend engineering, infrastructure, API design, security, and performance optimization—especially in GCP cloud environments.

Key Responsibilities

• Convert GenAI POCs into robust, production-ready services
• Develop scalable, asynchronous microservices optimized for high throughput and low latency
• Handle concurrency, rate limiting, throttling, and queueing strategies for high-load systems
• Collaborate with AI/ML teams on agent orchestration and model-serving pipelines
• Implement telemetry (logs, metrics, tracing) to ensure debuggability and performance insights
• Manage the full API lifecycle, including security (OAuth, API keys), testing, and documentation
• Publish and maintain client SDKs, Postman collections, and internal developer portals
• Define and enforce engineering standards: CI/CD automation, testing strategies, environment promotion, and release workflows
• Integrate with message brokers like Kafka, Google Pub/Sub for event-driven architecturesPrepare HLD/LLD, UML/sequence diagrams, and apply design patterns for resilient system design
• Design and implement reliable, versioned APIs with backward compatibility

Required Skills

• Expert-level proficiency in Python, especially using FastAPI, and strong understanding of asynchronous programming and multiprocessing
• Deep understanding of microservices, event-driven, and async system design
• Proficient in WebSockets, gRPC, REST, and OpenAPI/Swagger-based API contract design
• Proficient in OOP, dependency injection, and Pydantic-based validation in FastAPI for building modular, maintainable APIs.
• Proficient in working with databases using ORMs like SQLAlchemy, along with strong command over relational database design, queries, and performance optimization.
• Hands-on experience with cloud-native development on GCP, AWS, or Azure, including API gateways, autoscaling, and serverless architecture
• Strong grasp of Docker, Git-based version control, and container orchestration workflows
• Deep understanding of network, authentication, and infosec aspects in API and app deployments
• Familiarity with CI/CD pipelines, infrastructure-as-code, and secure deployment practices
• Experienced in DevOps practices, including configuring reverse proxy with NGINX to enable secure and efficient communication between frontend and backend services deployed on GKE.

Preferred

• Experience with Kafka, Google Pub/Sub, or equivalent message brokers
• Working knowledge of React.js, HTML, CSS for integration and debugging (not core responsibility)Prior experience with GenAI-based systems, especially real-time chatbots or voicebots
• Exposure to model orchestration frameworks, LLM serving, or Vertex AI
• Knowledge of zero-downtime deployment and rollback strategies
• Exposure to LLM orchestration (LangChain, LangGraph)
• Experience with RAG architectures, vector DBs, and MLOps frameworks (GCP Vertex Pipelines).
• Understanding of Model Context Protocol (MCP) and Agent-to-Agent toolkits for advanced agent workflows.
• Strong UX awareness to influence AI-driven product design and user journeys.