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126 of 472 matching · page 1 of 3

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TypeAgent infrastructure126 Agent engineering153 Developer tooling2 Applied research11 Forward deployed179 Other1

ModeRemote92 Hybrid95 On-site72 Location TBD213

LevelJunior18 Mid-level101 Senior216 Staff26 Principal17 Lead20 Manager18 Level TBD56

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126 of 472 matching · page 1 of 3

Principal AI Platform Engineer
CreateFuture
Edinburgh, Scotland, United Kingdom (Remote)
1d agoTop pickNew
Staff+ Software Engineer, ML Inference Path
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San Francisco, CA, United States (Hybrid)
$320k–$485k/yr
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San Ramon, CA or Reno, NV
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Senior Machine Learning Engineer, LLM Inference Optimization
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Zurich, Switzerland
1d agoNew
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Anthropic
San Francisco, CA, USA | New York City, NY, USA (Hybrid)
$350k–$850k/yr
1d agoTop pickNew
AI Engineer
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McLean, VA, United States
$99k–$225k/yr
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Toronto, Canada (Remote)
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London, United Kingdom
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Seattle (Remote)
$401k–$445k/yr
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London, England, United Kingdom (On-site)
£100k–£140k/yr
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Louisville, KY, United States (Hybrid)
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Stockholm, Sweden (On-site)
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Staff / Senior Software Engineer (Agentic Search) - Index
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Zurich, Switzerland
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London, England, United Kingdom (On-site)
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Software Engineer, Enterprise
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London, England, United Kingdom
1d agoNew
Software Engineer, Tokens and Prompt Structures
Anthropic
San Francisco, CA, USA | New York City, NY, USA (Hybrid)
$320k–$405k/yr
1d agoNew
Member of Technical Staff, Infrastructure Engineer
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San Francisco (On-site)
$280k–$314k/yr
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Zurich, Switzerland
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Halifax, Nova Scotia, Canada
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Austin, TX, United States
$92.7k–$185.4k/yr
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Cohere
Toronto, Canada; San Francisco, United States; New York, United States; Montreal, Canada (Remote)
180k–325k/yr
1d agoNew
Staff Software Engineer, Ray Core
Anyscale
San Francisco, California, United States (Remote)
$240k–$270k/yr
1d agoNew
Staff+ Software Engineer, Distributed Systems
Anthropic
New York City, NY, United States; San Francisco, CA, United States (Hybrid)
$320k–$485k/yr
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Lead AI Platform Engineer - Guardrails
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Charlotte, NC, United States (Hybrid)
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New York, NY, USA
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Denver, CO, USA
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Seoul, Seoul, South Korea
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Charlotte, NC, United States (Hybrid)
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Staff Software Engineer, AI Platform (US - Remote or Calgary)
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Remote (US + Alberta, Canada) (Remote)
$205k–$225k/yr
1d agoTop pickNew
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AvePoint
Singapore
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OpenAI
New York City | San Francisco (Remote)
$266k–$445k/yr
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ML OPs Engineer
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Philadelphia, PA
1d agoNew
Senior Applied ML Engineer (Agentic Search)
Nebius
Zurich, Switzerland
1d agoNew
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San Francisco, California, United States (Remote)
$175k–$190k/yr
1d agoNew
Principal AI Engineer
Wells Fargo
Boston, Massachusetts, United States; Charlotte, North Carolina, United States (Hybrid)
$191k–$305k/yr
1d agoTop pickNew
Principal AI Platform Engineer
PEMCO
Washington, United States (Remote)
$129.0k–$215.1k/yr
1d agoTop pickNew
Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith)
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Boston, MA, USA (On-site)
$180k–$240k/yr
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Zagreb, Croatia
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Remote (Canada) (Remote)
CAD 103k–CAD 160k/yr
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San Francisco, CA, United States
$158.4k–$264k/yr
1d agoTop pickNew
Staff Software Engineer-AI
Moody's Corporation
London, England, United Kingdom
1d agoNew
Senior AI Platform Engineer (all genders)
adesso SE
Düsseldorf, North Rhine-Westphalia, Germany
1d agoNew

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Agent infrastructurePrincipalTop pickNew

Principal AI Platform Engineer

CreateFutureEdinburgh, Scotland, United Kingdom (Remote)

Posted 1d ago/Full-time/Expires Nov 10, 2026

Apply on company site

Why it matters

The role owns a multi-provider LLM control plane, including routing and incident failover, plus orchestration and lifecycle tooling for reusable agent capabilities. It also covers MCP-style service discovery, governance, auditability, cost and latency controls, and platform standards used across client workloads.

About the job

Working at CreateFuture

CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first.

We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.

Our UK Benefits

35 days leave (including bank holidays).
Private medical insurance.
Enhanced parental and adoption leave.
Financial coaching + 5% pension match.
40 hours of paid learning and development.

View our full list of UK benefits.

CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row.

Join us on our journey. Let’s create tomorrow, together, today.

About The Role And Team

You'll join our AI Platform Engineering team, which builds and runs the infrastructure connecting CreateFuture's engineers and client workloads to multiple LLM providers — from the inference control plane (the API gateway and routing layer for Anthropic, AWS Bedrock, OpenAI, and others) through to the orchestration and lifecycle tooling that turns individual AI integrations into a reusable 'capability marketplace', and the trust, safety, and governance controls that keep it all auditable as it scales. We're hiring across this team at several levels — Principal, Senior, and Mid: Principal engineers set technical direction for the platform and act as a trusted extension of the CreateFuture leadership team day to day; Senior engineers own delivery of key platform components, from the gateway through to orchestration; and Mid-level engineers build hands-on experience across the gateway, orchestration, and governance layers, with support from senior colleagues.

What You'll Be Doing

Build, run, and evolve the API gateway and routing layer connecting engineers and client workloads to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), including the failover and routing strategies you may need to defend in an incident.
Design and build orchestration and lifecycle management for AI capabilities and agents, including the tooling that lets teams register, discover, and reuse capabilities rather than rebuilding them.
Implement and maintain RBAC/OIDC access controls and disciplined API key lifecycle management across the platform.
Build caching layers and cost/latency optimisation strategies, and the adoption and reuse analytics that show whether the platform is actually being used.
Contribute to API design, versioning, and promotion workflows as capabilities move from experimental to production — with more senior engineers setting these standards and more junior engineers learning and applying them.
Bring a trust, safety, and governance lens to the platform, helping ensure the agents and capabilities running on it are well-governed, auditable, and safe to scale.

We'd Love To Talk To You If You

Are proficient in Python or Go, with production experience appropriate to your level — from hands-on delivery (Mid) through to setting technical direction (Principal).
Have production experience running API gateways (Kong preferred; Envoy or Apigee accepted), or are keen to build this experience.
Have integrated with, or are curious about, multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), including failover and routing strategies you've had to defend under pressure.
Understand, or want to build expertise in, RBAC/OIDC and disciplined API key lifecycle management.
Are familiar with, or interested in, MCP or comparable service-registry patterns — a strong signal at any level.

What We’ll Offer You

We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.

We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.

We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.

Our hiring process

We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.

It Usually Looks Like This

Call with our Talent Acquisition Team
Role specific capability interview

Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.

Inclusion at CreateFuture

We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work.

If you need any adjustments or support during the application process, just. We will do what we can to help.

We look forward to your application!

Stack

python
go
kong
envoy
apigee
anthropic
aws bedrock
mcp

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