7 - 10 years

25 - 37 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Description

Job Title:

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Employment Type:

Job Summary:

Senior Backend Engineer

Key Responsibilities:

  • Design, develop, and maintain scalable, high-performance backend services using

    Node.js

    .
  • Integrate and fine-tune

    LLM APIs

    (OpenAI, Anthropic, Mistral, etc.) for various AI-driven use cases.
  • Collaborate with data scientists and ML engineers to deploy and optimize

    Generative AI models

    .
  • Build and maintain robust APIs, microservices, and real-time systems.
  • Ensure system reliability, performance, and security across backend components.
  • Work closely with product and UX teams to deliver AI-powered features.
  • Lead architectural discussions, code reviews, and mentoring junior developers.
  • Stay up to date with the latest advancements in

    AI, NLP, and LLM technologies

    .

Required Skills and Qualifications:

  • 710 years of backend development experience with

    Node.js

    (Express/Nest.js preferred).
  • Experience working with

    Generative AI models

    and

    LLM APIs

    (e.g., OpenAI, Hugging Face, custom fine-tuned models).
  • Solid understanding of

    AI/ML concepts

    , especially in the domain of NLP.
  • Experience building

    RESTful and GraphQL APIs

    .
  • Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of software architecture, design patterns, and microservices.
  • Experience with databases (SQL and NoSQL) and data pipelines.
  • Familiarity with CI/CD processes and DevOps tools.
  • Excellent problem-solving skills and a strong sense of ownership.

Preferred Qualifications:

  • Prior experience in deploying and scaling

    LLM-based applications

    in production.
  • Experience with

    vector databases

    (e.g., Pinecone, Weaviate, FAISS) and

    embedding models

    .
  • Knowledge of prompt engineering and model fine-tuning techniques.
  • Contributions to open-source AI projects or research papers in NLP/LLM.
  • Experience with serverless architecture and event-driven systems.

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