Backend & Gen AI Developer

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Backend and GenAI Developer |


Company Background


Key Responsibilities:

  • Design, develop, and deploy scalable

    AI/ML models

    and APIs using

    Python

    and

    FastAPI

    .
  • Implement and fine-tune

    Generative AI

    and

    LLM-based

    applications (e.g., text generation, summarization, chatbots).
  • Collaborate with data scientists and product teams to translate business problems into ML solutions.
  • Optimize ML pipelines for performance, scalability, and cost efficiency.
  • Integrate AI models with front-end or back-end systems through RESTful APIs.
  • Conduct data preprocessing, feature engineering, and model evaluation.
  • Stay current with emerging GenAI tools, frameworks, and model architectures.


Required Skills & Qualifications:

  • Strong proficiency in

    Python

    and

    FastAPI

    .
  • Solid understanding of

    machine learning algorithms

    ,

    deep learning

    , and

    NLP

    techniques.
  • Experience with

    Generative AI models

    (OpenAI, Hugging Face Transformers, LangChain, etc.).
  • Knowledge of

    LLM fine-tuning

    ,

    prompt engineering

    , and

    vector databases

    (e.g., FAISS, Pinecone).
  • Hands-on experience with

    TensorFlow

    ,

    PyTorch

    , or

    scikit-learn

    .
  • Familiarity with

    API development

    ,

    Docker

    , and

    cloud deployment

    (AWS, Azure, or GCP).
  • Strong problem-solving and analytical skills.


Good to Have:

  • Experience with

    RAG (Retrieval-Augmented Generation)

    architectures.
  • Knowledge of

    MLOps

    tools and

    CI/CD

    for ML model deployment.
  • Exposure to

    LangChain

    ,

    LlamaIndex

    , or

    OpenAI API integrations

    .


Why Join CodeVyasa?

● Work on innovative, high-impact projects with leading global clients.

● Exposure to modern technologies, scalable systems, and cloud-native

architectures.

● Continuous learning and upskilling opportunities through internal and external

programs.

● Supportive and collaborative work culture with flexible policies.

● Competitive salary and comprehensive benefits package.

● Free healthcare coverage for employees and dependents.

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