GenAI App Developer

1 week ago

Chennai, Tamil Nadu, India HCLTech Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Title:

GenAI App Developer / Full Stack Developer / Python Backend Developer / API Developer / Prompt Engineer

Experience - 6Yrs to 20 Yrs

Location - Chennai / Bangalore / Hyderabad / Pune / Noida.

We are seeking a skilled GenAI App Developer (or Full Stack Developer, Python Backend Developer, API Developer, Prompt Engineer) 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.

About the Role

We are seeking a skilled GenAI App Developer (or Full Stack Developer, Python Backend Developer, API Developer, Prompt Engineer) 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.

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).

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).

Required Skills

  • 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).

Preferred Skills

  • 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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