Full-Stack Developer (Python + React + Agentic AI)

Job Title

Full-Stack Developer (Python + React + Agentic AI)

• *Experience**

3-12 years

• *About Humigent**

Humigent team is pushing the technology limits to solve complex problems using humans + agentic AI workflows. Company is founded by successful tech entreprenuers in Bay area and India.

• *Brief Role Description**

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:
• 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.
• 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).
• Cloud Engineering – AWS and/or Azure (At least One)
• 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 (Optional)
• Docker, GitHub Actions
• CI,CD pipelines
• Secure secrets, environment strategy, logging & monitoring
• 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
• Strong 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
• *What we offer?
• Cutting edge work
• Competitive compensation, ESOPs, Performance Bonus
• Learning and collaborative environment
• *Job Type

Full-time

• *Work Location**

Gurgaon