Job Description
Job description
Experience: 2.00 + years
Salary: INR 2500000-3500000 / year (based on experience)
Expected Notice Period: 7 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Maintaining patient trust and legacy)
(*Note: This is a requirement for one of Uplers' client - Maintaining patient trust and legacy)
What do you need for this opportunity?
Must have skills required:
Ontology engineering, Schema evolution, Golang, Python, TypeScript
Maintaining patient trust and legacy is Looking for:
Platform Engineer (Ontology / Data)
Type: Full-time
• Founding R&D Team
• Onsite
Reports to: CTO
Function: Ontology, Data Infrastructure, Agent Context Systems
About The Role
You’ll build the nervous system for the Post-AGI era of engineering — the ontology and data
infrastructure that connects intelligent agents, humans, and organizations.
This is not a maintenance role — it’s a frontier R&D challenge to design data systems that can think, adapt,
and evolve.
Your mission is to create a living data architecture where each dataset and relationship fuels the
intelligence of autonomous systems. You will lay the groundwork for self-learning, interdependent AI
agents that can collaborate, reason, and build autonomously.
If you believe the next generation of engineers should build for perpetuity, not for product cycles — this role
is for you.
What You’ll Build
Ontology Framework: Model real-world systems into structured, dynamic, and self-adapting
entities.
Data Pipelines for Intelligence: Build real-time ingestion and feedback systems powering agentic
reasoning.
Context APIs: Create seamless access to memory and state across agents.
Observability & Lineage: Design systems that can explain every decision taken by an AI agent.
Self-evolving Models: Architect data structures that learn and adapt with feedback over time.
Responsibilities
Design and evolve the ontology core for distributed agent ecosystems.
Build dynamic, scalable, and ethical data pipelines.
Architect context persistence and retrieval mechanisms for agent networks.
Collaborate with AI and system engineers to define data-driven intelligence.
Tech Stack
Core: Python, Go, TypeScript
Data Systems: Kafka, Spark, Postgres, ElasticSearch
Cloud: AWS/GCP, Kubernetes, Docker
ML Ops: Airflow, MLflow, Neo4j, graph-based data models
Bonus: Ontology engineering, schema evolution, or self-healing data systems.
What Success Looks Like
Unified ontology powering autonomous agents by Day 90.
Dynamic data pipelines achieving near-zero latency.
Data lineage dashboards showcasing complete transparency.
Ontology evolution driven by real-time feedback.
Who Thrives Here
Builders who think like biologists — obsessed with emergence and evolution.
Engineers who want to define how machines will understand the world after AGI.
Researchers who see data as a living organism, not a static asset.
People who believe the future of AI is not automation — it’s co-creation.
How to apply for this opportunity?
• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
