GenAI App Developer

2 days ago

Chennai, India HCLTech Full time

Job Title:GenAI App Developer / Full Stack Developer / Python Backend Developer / API Developer / Prompt EngineerExperience - 6Yrs to 20 YrsLocation - 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 RoleWe 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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