Backend and AI/ML Engineer

1 week ago

Gautam Buddha Nagar, India Literatitech Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Job Description

We are seeking a highly skilled and versatile
Backend and AI/ML Engineer
to join our team. In this role, you will design and develop scalable backend infrastructure and implement AI/ML solutions to power our platform. You will work on building robust APIs, integrating vector-based search engines, and deploying machine learning models to enhance the platform's intelligence and usability.

Responsibilities

  • Design, develop, and maintain backend systems, services, and APIs to support platform functionality.
  • Build and integrate scalable file processing pipelines for document ingestion, chunking, and metadata extraction.
  • Develop and deploy machine learning models for semantic search, document embeddings, and summarization.
  • Implement vector similarity search using tools like Milvus, FAISS, or Pinecone.
  • Collaborate with cross-functional teams, including frontend developers and product managers, to deliver end-to-end solutions.
  • Optimize the performance and scalability of backend and AI/ML systems.
  • Ensure system security and implement authentication mechanisms such as OAuth and JWT.
  • Research and experiment with the latest AI/ML approaches to improve platform intelligence and user experience.
  • Monitor and improve the performance of deployed models, retraining as necessary.
  • Document code, processes, and technical decisions to ensure maintainability.

Requirements

  • Programming Skills
    : Proficiency in
    Python
    and

    . Familiarity with frameworks such as
    Flask and Nodejs
  • Backend Knowledge
    : Strong experience with RESTful APIs, microservices architecture, and database systems (e.g.,
    MongoDB
    ).
  • AI/ML Expertise
    : Hands-on experience with machine learning frameworks such as
    TensorFlow
    ,
    PyTorch
    , or
    Scikit-learn
    . Proficiency in NLP tools like
    Hugging Face
    ,
    SpaCy
    , or
    NLTK
    .
  • Vector Search
    : Familiarity with vector databases like
    Milvus
    ,
    FAISS
    for implementing semantic search.
  • Cloud and Deployment
    : Experience with deploying backend and AI/ML solutions using cloud platforms (AWS, GCP, Azure) and containerization tools like
    Docker
    and
    Kubernetes
    .
  • Version Control and CI/CD
    : Knowledge of tools like
    Git
    ,
    DVC
    ,
    MLflow
    , or
    Kubeflow
    for managing pipelines and deployment workflows.
  • Performance Optimization
    : Skills in optimizing both backend services and AI/ML models for performance and scalability.

Preferred Skills

  • Prior experience building AI-powered applications.
  • Understanding of large language models (e.g., GPT, BERT) and their fine-tuning.
  • Familiarity with secure coding practices and data privacy regulations.
  • Knowledge of tools for managing machine learning workflows in production (
    Apache Nifi,
    Airflow
    ).

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