GenAI Lead

1 week ago

Bengaluru, Karnataka, India HCLTech Full time ₹ 2,00,00,000 - ₹ 4,00,00,000 per year

We are seeking a skilled
GenAI App Lead
with expertise in
API development
,
backend logic
,
machine learning
, and
NLP
to contribute to large-scale
GenAI applications
. You'll work on
API integrations
, system performance optimization, and developing multi-agent workflows, all within a dynamic, collaborative environment.

Required Qualifications:

  • Proven experience in
    API development
    (e.g.,
    FastAPI
    ,
    Flask
    ,
    Django
    ).
  • Strong knowledge of
    Python
    ,
    machine learning
    (
    PyTorch
    ), and
    NLP
    (e.g.,
    spaCy
    ).
  • Expertise in
    API authentication
    (OAuth,
    API keys
    ) and
    API documentation
    (Swagger).
  • Experience with
    task queues
    (
    Celery
    ) and
    multi-agent workflows
    .
  • Hands-on experience with
    databases
    (MySQL,
    PostgreSQL
    ,
    BigQuery
    ,
    NoSQL
    ).
  • Familiarity with
    caching
    (Redis, Memcached) and
    cloud platforms
    (
    AWS
    ,
    Google Cloud
    ,
    Azure
    ).

Key Responsibilities:

API Integration & Development:

  • Identify and define
    API integration points
    , ensuring clear documentation.
  • Design, implement, and test
    API endpoints
    (e.g., /generate, /status).
  • Auto-generate
    API documentation
    using
    FastAPI
    &
    Swagger
    .
  • Implement
    rate limiting
    (
    Flask-Limiter
    ) and
    authentication
    (
    OAuth
    ,
    API keys
    ).

LLM & NLP Integration:

  • Develop
    prompting logic
    for
    Large Language Models (LLMs)
    to ensure accurate responses.
  • Integrate
    machine learning frameworks
    (e.g.,
    PyTorch
    ) and
    NLP libraries
    (e.g.,
    spaCy
    ).
  • Design and implement
    multi-agentic workflows
    using patterns like
    actor model
    ,
    publish-subscribe
    , and
    client-server
    .

Multi-Agentic System Design:

  • Build and coordinate
    multi-agentic systems
    , ensuring efficient task delegation, communication, and failure handling across agents.
  • Develop
    distributed task management
    using tools like
    Celery
    and
    Kubernetes
    .

Testing & Debugging:

  • Write
    unit/integration tests
    with
    Pytest
    .
  • Set up
    logging
    and
    monitoring
    for system health and debugging.

Database & Caching:

  • Integrate with
    MySQL
    ,
    PostgreSQL
    ,
    NoSQL
    (e.g.,
    BigQuery
    ,
    MongoDB
    ), and
    vector databases
    (e.g.,
    Pinecone
    ).
  • Implement
    caching
    strategies (e.g.,
    Redis
    ,
    Memcached
    ) to optimize performance.

Security & Compliance:

  • Ensure
    secure API access
    and
    data protection
    (OAuth,
    API keys
    , input validation).

Highly Desirable Qualifications:

  • Experience with
    vector databases
    (e.g.,
    Pinecone
    ,
    Weaviate, Cloud-based AI search
    (
    Azure AI Search
    ).
  • Knowledge of
    CI/CD pipelines
    and
    containerization
    (e.g.,
    Docker
    ,
    Kubernetes
    ).
  • Familiarity with
    API design tools
    (e.g.,
    Postman
    ) and
    rate limiting
    (
    Flask-Limiter
    ).

Tools & Technologies:

  • API Frameworks
    :
    FastAPI
    ,
    Flask
    ,
    Django
  • Machine Learning & NLP
    :
    PyTorch
    ,
    spaCy
  • Task Management
    :
    Celery
  • Databases
    :
    MySQL
    ,
    PostgreSQL
    ,
    BigQuery
    ,
    MongoDB
    ,
    Pinecone
    ,
    Weaviate
  • Caching
    :
    Redis
    ,
    Memcached
  • Cloud Platforms
    :
    AWS
    ,
    Google Cloud
    ,
    Azure
  • Version Control
    :
    Git
  • Security & Monitoring
    :
    OAuth
    ,
    API keys
    ,
    Python logging module

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