Jr. Full-stack Developer – Gen AI

Humigent; Gurugram District, Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Humigent is seeking a hands-on engineer to develop AI-powered applications, spanning frontend interfaces to backend services, using FastAPI/Flask and React/Next.js. You will build secure dashboards, RBAC access, and modular UI components for advanced AI tasks, while integrating LangGraph or CrewAI and knowledge graphs.

Ideal candidates combine strong Python skills with graph engineering, vector databases, and DevOps practices including Docker and CI/CD, and will deploy across AWS and Azure in a

Qualifications

• Hands-on experience with Python web stacks (FastAPI/Flask).
• Proven work with agentic AI, LLM tooling and knowledge graphs.
• Experience building scalable SaaS backends and multi-screen frontends.
• Familiarity with LangGraph or CrewAI is a plus.
• Knowledge graph design, ontology engineering and semantic layers.

Responsibilities

• Develop full-stack applications using FastAPI/Flask and React/Next.js.
• Create enterprise dashboards, secure login systems (RBAC), and multi-screen interfaces.
• Develop modular UI components for AI tasks (generated insights, workflows, exports, reviews).
• Integrate agentic AI using 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.
• Knowledge Graph + Ontology engineering: semantic layers and schema logic.
• Build secure microservices and APIs in Python (FastAPI/Flask).
• Strong SQL (PostgreSQL/MySQL), indexing, query tuning.
• Build async flows, background tasks (Celery/Redis/RabbitMQ).

Skills

Python + FastAPI/Flask

Agentic AI

Knowledge Graphs

Vector DB

RAG pipelines

Docker

CI/CD

GitHub

LangGraph

Ontology Engineering

RBAC

Tools

React/Next.js

Job description

Location: Gurgaon/Bangalore Job Type: Full-Time Experience: 2–6 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 on AWS and Azure .

Key Responsibilities

• 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).
• 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.
• Knowledge Graph + Ontology Engineering (Mandatory)

Hands-on experience required in at least two of 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

• Build secure microservices and APIs in Python (FastAPI/Flask).
• Strong SQL (PostgreSQL/MySQL), indexing, query tuning.
• Build async flows, background tasks (Celery/Redis/RabbitMQ).

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

You must be comfortable deploying and managing workloads on all platforms.

• 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 on India’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