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Python Developer

2 weeks ago

Mumbai, Maharashtra, India L&T Finance Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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
    , 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.