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Urgent! GenAI App Developer Job Opening In kolhapur – Now Hiring HCLTech

GenAI App Developer



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


Required Skill Profession

Other General



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    Unlock Your GenAI App Potential: Insight & Career Growth Guide


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