AI Platform Engineer

Posted 5 Days Ago
Be an Early Applicant
London, Greater London, England
In-Office
Mid level
Artificial Intelligence • Information Technology • Sales • Software
The Role
As an AI Platform Engineer, you'll design and evolve internal AI platforms for operational workflows, integrating systems and enabling rapid AI experimentation.
Summary Generated by Built In

About Aries

Aries is a rapidly-scaling, next-generation software group purpose-built to scale founder-led, mission-critical SaaS companies at the heart of the $50B+ cloud ecosystem. We unify niche B2B SaaS businesses under Aries' AI and Growth Platform - unlocking visibility, velocity, and value across our portfolio. With a permanent capital base and ~$200M invested annually, we’re building a new model for software scale focused on long-term value.
The Role: AI Platform Engineer

As an AI Platform Engineer at Aries, you’ll help design, build, and evolve the internal AI platform that powers how we go to market and run our business. This includes orchestrating intelligent agents, stitching together third-party systems, and enabling fast iteration on experimental workflows that scale across the company.

You’ll work at the intersection of backend engineering, infrastructure, and AI application design—collaborating closely with engineering, GTM, and operations teams to build a one-stop platform for deploying, managing, and scaling AI-driven agents.

What You’ll Do

Build the Core Platform: Develop foundational systems that support portfolio company onboarding and drive intelligent GTM agents for outbound, inbound, and operational workflows.

Deploy and Monitor Agents: Design infrastructure to train, run, monitor, and evaluate AI agents from prototype to production.

Stitch Systems Together: Integrate third-party tools via APIs and state machines, enabling seamless experimentation and rapid deployment of AI-driven processes.

Drive Iteration: Enable fast experimentation by supporting the rollout of lightweight agents, and promote successful patterns into the productized platform.

Ensure Platform Reliability: Own system observability, performance, and security across agent pipelines and infrastructure.

Collaborate Across Functions: Work closely with GTM, engineering, and operations stakeholders to generalize field needs into scalable platform capabilities.

Build for the Future: Help expand Aries into a core AI operating system that will eventually drive the lion’s share of company strategy.

What We’re Looking For

  • 3–6+ years of experience in platform engineering, ML infrastructure, or backend development

  • Strong Python skills (Go, Java, or TypeScript experience a bonus)

  • Proven experience building and operating distributed systems and APIs

  • Familiarity with tools like Kubernetes, Terraform, Postgres, Redis, Airflow, or LangChain

  • Experience deploying or integrating LLMs or agent-based systems in production

  • Excited to bridge systems, build reusable tooling, and ship with speed and ownership

  • Passionate about infrastructure that creates leverage for the rest of the business

Why Aries

  • Help shape a platform that enables AI-driven automation across every business function

  • Work on real-world systems used daily by GTM, recruiting, and finance teams

  • Collaborate with a sharp, high-ownership team solving high-leverage problems

  • Join early and contribute to the foundational infrastructure of a rapidly-scaling company

Let’s Build

If you're energised by the idea of building agent infrastructure, working across AI and ops, and creating systems with real impact - we’d love to hear from you.

Top Skills

Airflow
Go
Java
Kubernetes
Langchain
Postgres
Python
Redis
Terraform
Typescript
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The Company
HQ: London
57 Employees

What We Do

Acquire. Accelerate. Autonomize.

Aries Global is a rapidly scaling software group, building the AI Operating System for B2B Software.

- We acquire sticky SaaS companies to build multi-product scale and distribution,
- Accelerate them through centralized GTM and product infrastructure, and
- Autonomize operations using proprietary intelligent agents and domain specific LLMs.

Headquartered in London, with hubs in New York, Berlin and Paris.

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