Gen AI software Engineer

4 - 8 years

12 - 22 Lacs

kolkata bengaluru mumbai (all areas)

Posted:2 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Responsibilities:

- Partner with product, ML, and DevOps teams to translate business goals into GenAI software solutions.

- Design, build, and maintain Python-based GenAI services, APIs, and micro-servicesleveraging FastAPI for REST endpoints as well as WebSockets and WebRTC for real-time, bi-directional communication.

- Implement event-driven architectures (e.g., Kafka, Pub/Sub) for low-latency data ingestion and inference.

- Containerize and orchestrate services with Docker and Kubernetes for reliable, scalable deployments.

- Engineer data-lake integrations that handle high-volume structured and unstructured data for RAG and fine-tuning workflows.

- Enforce modular, reusable, and secure code practices (authN, authZ, secrets management, OWASP).

- Collaborate closely with data scientists on model packaging, versioning, and inference endpoints.

- Automate testing and CI/CD pipelines (GitHub Actions, Azure DevOps, or AWS CodePipeline) to ensure rapid, reliable releases.

- Author and maintain technical documentation, architecture diagrams, and runbooks.

- Track emerging GenAI and Python ecosystem advances; champion best practices and continuous improvement.

Requirements:

- Python Expertise: 4+ years of building production systems with deep knowledge of OOP, type hints, asyncio/concurrency, and performance tuning.

- Web & API Development: Extensive FastAPI (or Flask) experience creating scalable REST/JSON endpoints around LLM services.

- System Architecture: Demonstrated ability to design decoupled, event-driven, cloud-native systems that scale horizontally and remain maintainable.

- Cloud & Containers: Hands-on with Docker and Kubernetes, deploying workloads to Azure AKS, AWS EKS, or GKE.

- Version Control & CI/CD: Advanced Git workflows plus automated testing, build, and release pipelines (GitHub Actions, Azure DevOps, or AWS CodePipeline).

- Security & Compliance: Familiarity with OAuth 2.0/JWT, secrets management, and relevant data privacy regulations.

Preferred Skills:

- Gen AI Frameworks: Experience with LLM frameworks or tool

Preferred candidate profile

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