Sr. Full-Stack Developer Gen AI

Humigent; Gurugram District, Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Humigent in India is seeking an experienced AI-enabled full-stack developer to build enterprise‑grade applications blending front-end screens with back-end services, agents, and knowledge graphs. You will work with LangGraph, CrewAI, FastAPI/Flask, React/Next.js, and deploy on AWS/Azure.

The role emphasizes ontology engineering, RAG pipelines, secure microservices, and multi-platform deployments, with a hands-on, product‑driven mindset.

Qualifications

• Ontology design (OWL/JSON-LD), schema creation and graph relationships.
• Graph-based reasoning flows (GraphRAG, entity grounding, relationship inference).
• Knowledge graphs integration with LLMs for retrieval and reasoning.
• Semantic layers and metrics tied to graph schemas.

Responsibilities

• Full-stack development across frontend and backend.
• Build prod-grade apps with FastAPI/Flask and React/Next.js.
• Create enterprise dashboards, RBAC, and multi-screen interfaces.
• Integrate LangGraph/CrewAI and other orchestrators.
• Develop LLM tools, memory systems and deterministic workflows.
• Implement RAG pipelines, embeddings and vector search.
• Knowledge Graph + Ontology Engineering as core capability.

Skills

Ownership mindset

Analytical thinking

Product-first approach

Ability to learn quickly

AI problem solving

Tools

Python

FastAPI/Flask

React/Next.js

LangGraph

CrewAI

Vector DB

RAG implementation

Docker

CI/CD

GitHub

SQL databases

Job description

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 applications—from 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, 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 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, Lambda
• API Gateway, S3, RDS, DynamoDB
• IAM, VPC, Secrets Manager
• Virtual Machines, VNet, Key Vault

DevOps (Mandatory)

• Docker, GitHub Actions
• Secure secrets, environment strategy, logging & monitoring
• 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
• Agentic AI (LangGraph/CrewAI)
• Knowledge Graphs + Ontology Engineering
• Vector DB + RAG implementation
• Docker, CI/CD, GitHub

Soft Skills

• Ownership mindset
• Strong analytical thinking
• Product-first approach
• Ability to learn quickly
• Passion for AI + problem solving

Nice-to-Have

• 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
• Data visualization frameworks (Plotly, ECharts, D3.js)
• Working on high-scale SaaS enterprise applications
• Work onIndia’s most advanced Agentic AI stack
• Build real systems that use LangGraph, KGs, ontologies, symbolic reasoning
• Direct mentorship from founders & senior architects
• Opportunities to grow into architect roles
• Culture of innovation, ownership, and making global-impact products