Senior AI Platform Engineer

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Job Title Senior AI Platform Engineer

Location Remote

Time Zone US Time Zone (PST - EST)

Role Overview This role sits at the intersection of AI engineering and platform development. As a Senior AI Platform Engineer, you will own the contextual intelligence layer that powers our AI agents — ensuring they understand, reason, and act with precision across our SaaS ecosystem.

You will work at the cutting edge of how structured knowledge is used to make AI agents smarter and more reliable. This is a role for an engineer who thinks deeply about context, meaning, and how machines can be equipped to make better decisions — and who can also build the frontend surfaces that make those capabilities accessible to end users.

Key Responsibilities

Design and maintain semantic context layers — knowledge graphs, ontologies, and structured context stores — that inform agent behaviour

Develop full stack features that allow users to configure, monitor, and control AI agents through intuitive interfaces

Integrate RPA agents with semantic reasoning capabilities, enabling context-aware automation at scale

Build and maintain data platform frontends that provide real-time visibility into agent activity and data flows

Work closely with product and data science teams to translate business requirements into intelligent automation solutions

Champion engineering quality through testing, documentation, and architectural consistency

Required Qualifications

Senior-level full stack engineering experience

Deep understanding of semantic technologies — knowledge graphs, RDF/OWL, ontologies, or entity resolution

Hands-on experience building or consuming AI agent frameworks

Strong frontend skills with React or similar, including data visualisation libraries such as D3.js or Recharts

Experience with Python-based backends and ML service integration

Comfort working in fast-moving SaaS product environments

Must have prior remote work experience and demonstrated ability to collaborate asynchronously across distributed teams

Preferred Qualifications

Experience with graph databases such as Neo4j or Amazon Neptune

Exposure to NLP pipelines and named entity recognition (NER)

Contributions to open-source AI or semantic tooling

Experience with enterprise-scale knowledge management systems

Tools & Technology

Python / Node.js

React / TypeScript

Graph or semantic databases (Neo4j, Amazon Neptune, or similar)

LLM APIs and agent orchestration frameworks

Data visualisation tooling (D3.js, Recharts, or similar)

Slack, Zoom, Google Workspace

Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles.

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Originally posted on Himalayas