Sr. Full-Stack Developer Gen AI

Location:Gurgaon/Bangalore

Job Type:Full-Time

Experience:8+ years

Domain:Agentic AI, Knowledge Graphs, Generative AI, Enterprise Applications

You will build complete AI-powered applicationsfrom frontend screens to backend services, agents, LangGraph pipelines, knowledge graph reasoning, and cloud deployment onAWS and Azure.

Key Responsibilities

Full-Stack Development (Mandatory)Build production-grade applications usingFastAPI/FlaskandReact/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).Agentic AI Integration (Mandatory)Work with multi-agent frameworks such asLangGraph,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.Knowledge Graph + Ontology Engineering (Mandatory)Hands-on experience required in at leasttwoof the following:

Ontology design (OWL/JSON-LD), schema creation, triples, relationshipsCreating graph-based reasoning flows (GraphRAG, entity grounding, relationship inference)Integrating knowledge graphs with LLMs for retrieval + reasoningDesigning semantic layers / metric definitions linked to graph schemasThis isa mandatory capability, as all Humigent systems rely on ontology-driven reasoning.

Build secure microservices and APIs in Python (FastAPI/Flask).Strong SQL (PostgreSQL/MySQL), indexing, query tuning.Build async flows, background tasks (Celery/Redis/RabbitMQ).You must be comfortable deploying and managing workloads onbothplatforms.

AWS (Mandatory)

EC2, ECS/EKS, LambdaAPI Gateway, S3, RDS, DynamoDBIAM, VPC, Secrets ManagerVirtual Machines, VNet, Key VaultDevOps (Mandatory)

Docker, GitHub ActionsSecure secrets, environment strategy, logging & monitoringFamiliarity with embeddings, token optimization, semantic caching.ETL skills for structured/unstructured data (PDF, tables, Excel, APIs).Required Skills (Mandatory)

Strong Hands-On

Python + FastAPI/FlaskAgentic AI (LangGraph/CrewAI)Knowledge Graphs + Ontology EngineeringVector DB + RAG implementationDocker, CI/CD, GitHubSoft Skills

Ownership mindsetStrong analytical thinkingProduct-first approachAbility to learn quicklyPassion for AI + problem solvingNice-to-Have

Experience with pharma or food-tech datasets (TRx/NRx, FSSAI ingredients)Domain experience with clinical data or FDA PDFsExperience with cognitive science-based modelingData visualization frameworks (Plotly, ECharts, D3.js)Working on high-scale SaaS enterprise applicationsWork onIndias most advanced Agentic AI stackBuild real systems that use LangGraph, KGs, ontologies, symbolic reasoningDirect mentorship from founders & senior architectsOpportunities to grow into architect rolesCulture of innovation, ownership, and making global-impact products .