Primary Location: London · Canary Wharf HQ (on-site)

Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of our batch's "Top-10 AI agent startups" by Business Insider.

We're looking for a top tier graduate or early-career professional with excellent engineering aptitude, a deep ability to think in terms of data and systems, as well as a positive "can do" attitude. You'll work directly with Plexe customers to deploy and operationalise the Plexe platform, enabling our customers to succeed and get the most value from our product offering. Your forward deployment will give you a deeper understanding of our customers' needs and enable you to contribute meaningfully to the core product, including engineering multi-agent system, ML model serving, and more.

You'll significantly boost your career prospects by working with a team extremely skilled engineers and taking full ownership of entire streams of work.

Responsibilities

• Forward Deployment: work with Plexe customers to understand their needs, analyse their data, architect ML systems, and deploy our platform - eventually owning entire customer engagements and related product features.

• Product Development: leverage your forward deployment experience to improve the Plexe platform, including distributed ML infra, multi-agent systems, observability, client-facing APIs, and more.

• Cross-Functional Collaboration: work closely with founders to translate business vision and customer feedback into actionable engineering plans.

• Ownership: take full engagement ownership from kick-off to customer success. Your ideas have the power to shape business directions.

Qualifications

We don't have strict "formal" requirements - we just want to see you're awesome and up for the challenge! This is an early career role, so academic/university experience is welcome, although having at least some professional experience is a clear advantage.

Must-Have:

• 0-2 yrs building ML/AI systems that served real users.

• Strong Python; exposure to AWS, Docker, Terraform/CDK, etc.

• Experience with basic web computing constructs: APIs, authentication, etc.

• Solid grounding in ML algorithms, MLOps, and data science.

• Ability to work with customers/stakeholders to help them achieve their goals.

• Willingness and ability to travel to customer offices globally (max 50% time normally, but may occasionally exceed 50% if required).

Nice-to-Have:

• Built agentic workflows / LLM tool-use.

• Experience with MLFlow, Arize, LangFuse, or other MLOps tools.

• Experience with deploying ML models on SageMaker, KServe, or similar.

Why Plexe?

• Hard problems: we're automating the entire ML/AI lifecycle from data engineering to insights.

• High ownership: first 5 engineers write the culture as well as the code. You have the power to fix whatever issue you can point at.

• Exciting environment: work at a fast-paced YC-backed startup with one foot in Silicon Valley.

• Location and compensation: sweet office in central Canary Wharf; equity that can matter.

Compensation

£50,000 - £65,000 base salary, 0.10% - 0.30% equity, eligibility for further bonuses based on company and/or individual performance.