Virtual DRIVE For GEN AI 5YRS-15YRS

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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