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GenAI App Developer

GenAI App Developer

HCLTechIndia
30+ days ago
Job description

Job Overview :

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.

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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