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, DjangoMachine Learning & NLP : PyTorch, spaCyTask Management : CeleryDatabases : MySQL, PostgreSQL, BigQuery, MongoDB, Pinecone, WeaviateCaching : Redis, MemcachedCloud Platforms : AWS, Google Cloud, AzureVersion Control : GitSecurity & Monitoring : OAuth, API keys, Python logging module