GenAI App Developer

3 days ago

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 ,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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