Role Full-Stack Developer Python React Agentic AI Experience 2-6 years You will build complete AI-powered applications from frontend screens to backend services agents LangGraph pipelines knowledge graph reasoning and cloud deployment on AWS and Azure Key Responsibilities1 Full-Stack Development Mandatory Build production-grade applications using FastAPI Flask and React Next js Create enterprise dashboards workflows secure login systems RBAC and multi-screen interfaces Develop modular UI components for complex AI tasks generated insights workflows exports reviews 2 Agentic AI Integration Mandatory Work with multi-agent frameworks such as LangGraph CrewAI or custom orchestrators Implement LLM tools memory systems evaluator agents and deterministic workflows Build RAG pipelines embeddings vector search and tool-based agent orchestration 3 Knowledge Graph Ontology Engineering Mandatory Hands-on experience required in at least two of the following Graph databases Neo4j Azure Cosmos DB Gremlin AWS Neptune Ontology design OWL JSON-LD schema creation triples relationships Creating graph-based reasoning flows GraphRAG entity grounding relationship inference Integrating knowledge graphs with LLMs for retrieval reasoning Designing semantic layers metric definitions linked to graph schemas This is a mandatory capability as all Humigent systems rely on ontology-driven reasoning 4 Backend Engineering APIs Mandatory Build secure microservices and APIs in Python FastAPI Flask Strong SQL PostgreSQL MySQL indexing query tuning Implement PDF document Excel ingestion pipelines Build async flows background tasks Celery Redis RabbitMQ 5 Cloud Engineering - AWS Azure Mandatory You must be comfortable deploying and managing workloads on both platforms AWS Mandatory EC2 ECS EKS Lambda API Gateway S3 RDS DynamoDB IAM VPC Secrets Manager CloudWatch CloudFormation Terraform preferred Azure Mandatory Azure App Service Azure Functions Azure OpenAI Azure Blob Storage Azure SQL PostgreSQL Virtual Machines VNet Key Vault Azure Monitor Workbooks Pipelines DevOps Mandatory Docker GitHub Actions CI CD pipelines Secure secrets environment strategy logging monitoring 6 AI ML Data Engineering Skills Integrate OpenAI Azure OpenAI Amazon Bedrock LLMs Use vector DBs Pinecone Chroma Qdrant Weaviate Familiarity with embeddings token optimization semantic caching ETL skills for structured unstructured data PDF tables Excel APIs Required Skills Mandatory Strong Hands-On Python FastAPI Flask JavaScript TypeScript React Next js Agentic AI LangGraph CrewAI Knowledge Graphs Ontology Engineering Vector DB RAG implementation AWS Azure cloud deployments SQL PostgreSQL preferred Docker CI CD GitHub Clean code modular architecture scalability Soft Skills Ownership mindset Solid analytical thinking Product-first approach Ability to learn quickly Collaboration communication skills Passion for AI problem solving Nice-to-Have Bonus Experience with pharma or food-tech datasets TRx NRx FSSAI ingredients Domain experience with clinical data or FDA PDFs Experience with cognitive science-based modeling GraphRAG Knowledge Graph visualization Ontologies like OBI SNOMED Data visualization frameworks Plotly ECharts D3 js Working on high-scale SaaS enterprise applications Job Type Full-time Work Location In person Job Type Full-time Pay From 386 481 98 per year Work Location In person

📌 Full Stack Gen Ai (Haryana)
🏢 Aristia AI
📍 Haryana