Virtual DRIVE For GEN AI 5YRS-15YRS

Job description

Mail your resume sayani.sur@hcltech.com 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. 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). 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). 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