Platform Engineer (Ontology / Data)

Platform Engineer (Ontology / Data)

Experience:

Salary :

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Golang, Python, TypeScript

Roots Health (One of Uplers' Clients) is Looking for:

Platform Engineer (Ontology / Data) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

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

Youll 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:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

Roots Health is a patient-centered healthcare organization that strives to provide comprehensive primary care services to the community. With our integrated primary care model, we prioritize the needs of our patients and aim to build long-term relationships based on trust, compassion, and quality care.

Roots Health owns and manages primary care facilities predominantly in the South Houston area, offering a range of services including family practice, pediatrics, OB-GYN, and senior family care. We are committed to expanding our reach and increasing access to healthcare in vulnerable communities. To achieve this, we seek to acquire medical practices from providers who are ready to retire or relocate but want to ensure that their patients continue to receive the same level of care.

About Uplers:

Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.

With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

Role & responsibilities

Preferred candidate profile