Senior Fullstack Engineer(Python + Agentic AI + React)

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Company Description

MetAntz is dedicated to bridging the gap between talent and global opportunities. We empower students and professionals by connecting them to high-paying roles worldwide.


About the Customer

We are working on this role for a customer who are 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.


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 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 one/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?

1) Cutting edge work

2) Competitive compensation, ESOPs, Performance Bonus

3) Learning and collaborative environment

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