GenAI App Developer

4 days ago

New Delhi, India HCLTech Full time

Job Overview: We are seeking a skilledGenAI App Developer(orFull Stack Developer ,Python Backend Developer ,API Developer ,Prompt Engineer ) with expertise inAPI development ,backend logic ,machine learning , andNLPto contribute to large-scaleGenAI applications . You'll work onAPI integrations , system performance optimization, and developing multi-agent workflows, all within a dynamic, collaborative environment.Required Qualifications: Proven experience inAPI development(e.g.,FastAPI ,Flask ,Django ). Strong knowledge ofPython ,machine learning( PyTorch ), andNLP(e.g.,spaCy ). Expertise inAPI authentication(OAuth,API keys ) andAPI documentation(Swagger). Experience withtask queues( Celery ) andmulti-agent workflows . Hands-on experience withdatabases(MySQL,PostgreSQL ,BigQuery ,NoSQL ). Familiarity withcaching(Redis, Memcached) andcloud platforms( AWS ,Google Cloud ,Azure ).Key Responsibilities: API Integration & Development: Identify and defineAPI integration points , ensuring clear documentation. Design, implement, and testAPI endpoints(e.g., /generate, /status). Auto-generateAPI documentationusingFastAPI&Swagger . Implementrate limiting( Flask-Limiter ) andauthentication( OAuth ,API keys ). LLM & NLP Integration: Developprompting logicforLarge Language Models (LLMs)to ensure accurate responses. Integratemachine learning frameworks(e.g.,PyTorch ) andNLP libraries(e.g.,spaCy ). Design and implementmulti-agentic workflowsusing patterns likeactor model ,publish-subscribe , andclient-server . Multi-Agentic System Design: Build and coordinatemulti-agentic systems , ensuring efficient task delegation, communication, and failure handling across agents. Developdistributed task managementusing tools likeCeleryandKubernetes . Testing & Debugging: Writeunit/integration testswithPytest . Set uploggingandmonitoringfor system health and debugging. Database & Caching: Integrate withMySQL ,PostgreSQL ,NoSQL(e.g.,BigQuery ,MongoDB ), andvector databases(e.g.,Pinecone ). Implementcachingstrategies (e.g.,Redis ,Memcached ) to optimize performance. Security & Compliance: Ensuresecure API accessanddata protection(OAuth,API keys , input validation). Highly Desirable Qualifications: Experience withvector databases(e.g.,Pinecone ,Weaviate, Cloud-based AI search( Azure AI Search ). Knowledge ofCI/CD pipelinesandcontainerization(e.g.,Docker ,Kubernetes ). Familiarity withAPI design tools(e.g.,Postman ) andrate 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

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