GenAI Lead

3 days ago

Bengaluru, India HCLTech Full time

We are seeking a skilled GenAI App Lead 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

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