Genrative AI Developer Backend

2 - 5 years

6 - 10 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Description


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About the Role

Generative AI Backend Developer

Key Responsibilities

Backend Architecture & API Development

  • Build scalable microservices for AI/GenAI workloads
  • Develop REST / GraphQL / gRPC APIs for inference & data retrieval
  • Implement high-performance backend components & modular services

Generative AI & RAG Pipeline Integration

  • Integrate LLMs, diffusion models & multimodal AI (text, image, speech)
  • Build RAG pipelines with

    Pinecone / Weaviate / Milvus / FAISS

  • Optimize model serving using

    FastAPI, TorchServe, TensorFlow Serving

API Security, Scaling & Optimization

  • Implement

    JWT/OAuth2 authentication, versioning, throttling

  • Integrate external AI APIs like

    OpenAI, Gemini, Anthropic, Stability AI

  • Reduce inference latency and optimize concurrency & performance

Infrastructure & Deployment

  • Deploy with

    Docker, Kubernetes, GitLab/Jenkins CI/CD

  • Manage AWS / GCP / Azure cloud scaling, load balancing
  • Implement monitoring with

    Prometheus, Grafana, ELK

Performance, Security & Compliance

  • Apply caching, batching & async processing for speed
  • Enforce data privacy, encryption &

    financial/compliance standards

  • Maintain observability & failure recovery readiness

Required Technical Skills

Languages

Preferred Qualifications

  • Experience with

    banking/enterprise-grade backend systems

  • Exposure to

    LangChain, LlamaIndex, Haystack

  • Knowledge of

    tokenization, encryption, ISO/PCI compliance

  • Experience with AI pipeline scaling & model lifecycle mgmt

Soft Skills

  • Strong problem-solving & debugging mindset
  • Excellent communication & teamwork
  • High attention to performance, scalability, and accuracy
  • Passion for AI innovation & emerging tech

Why Join Us

  • Work at the

    intersection of AI + scalable infrastructure

  • Build

    production-grade intelligent systems

    used at enterprise scale
  • Opportunity to

    innovate & lead in next-gen AI engineering


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