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- Tasks: Join us as a Founding Engineer to build AI agents and ML applications from the ground up.
- Company: Plexe is a Y Combinator-backed startup revolutionising AI with innovative solutions.
- Benefits: Enjoy equity options, a vibrant office in Canary Wharf, and the chance to shape company culture.
- Why this job: Tackle hard problems in a fast-paced environment while owning your projects from start to finish.
- Qualifications: 3+ years in ML/AI systems, strong Python skills, and familiarity with AWS and web frameworks.
- Other info: Opportunity for relocation to the US office with visa sponsorship available.
The predicted salary is between 48000 - 84000 £ per year.
Primary Location: London · Canary Wharf HQ (on-site). We plan to open a US office in the next ~6 months and will sponsor transfer visa for team members open to relocation.
Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We are backed by Y Combinator (X25) and were named one of the spring batch's "Top-10 AI agent startups" by Business Insider.
We are looking for a full-stack engineer with hands-on experience in building and deploying LLM-based products from scratch. You will develop multi-agent systems, build product front-end and backend APIs, and ultimately create AI agents that autonomously handle the entire ML development lifecycle.
Responsibilities
- Product Development: build distributed ML infra, multi-agent systems, observability, client-facing APIs, and more - eventually owning your own product or product lines.
- Technical Leadership: drive technical decisions and architecture design, helping shape the foundations of our platform.
- Cross-Functional Collaboration: work closely with co-founders to translate business vision and customer feedback into actionable engineering plans.
- Ownership: take full product ownership from ideation to launch, including integration into existing systems. Your roadmap is one quick chat away from reality.
Qualifications
We do not have strict "formal" requirements - we just want to see you are awesome and up for the challenge! That might look like this:
- Must-Have: 3+ years building ML/AI systems that served real users. Strong Python; comfort with AWS, Docker, Terraform/CDK, Postgres, etc. Experience with React, FastAPI, or other common web frameworks. An understanding of core concepts in ML, data science and MLOps.
- Nice-to-Have: Built agentic workflows / LLM tool-use. Experience with MLFlow, WandB, LangFuse, or other MLOps tools. Experience with AirFlow, Spark, Kafka or similar.
Why Plexe?
- Hard problems: we are 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.
Founding Engineer (Full-Stack) employer: Plexe AI
Contact Detail:
Plexe AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer (Full-Stack)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially around LLM-based products. Being able to discuss recent advancements or case studies during your conversations can really impress the team at Plexe.
✨Tip Number 2
Showcase your hands-on experience by preparing a portfolio of projects that highlight your skills in building and deploying ML systems. Be ready to discuss specific challenges you faced and how you overcame them.
✨Tip Number 3
Network with current employees or alumni from Y Combinator to gain insights into the company culture and expectations. This can provide you with valuable information that you can use to tailor your approach.
✨Tip Number 4
Prepare to demonstrate your technical leadership skills. Think of examples where you've driven architectural decisions or led a project, as this aligns well with the responsibilities of the Founding Engineer role.
We think you need these skills to ace Founding Engineer (Full-Stack)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building and deploying ML/AI systems. Emphasise your hands-on experience with Python, AWS, Docker, and any relevant frameworks like React or FastAPI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and ML development. Mention specific projects where you've taken ownership and how they relate to the responsibilities outlined in the job description.
Showcase Relevant Projects: Include links to your GitHub or portfolio showcasing projects that demonstrate your skills in developing multi-agent systems or LLM-based products. This will give them a clear view of your capabilities.
Highlight Collaboration Skills: Since the role involves cross-functional collaboration, mention any experiences where you've worked closely with other teams or stakeholders to translate feedback into actionable engineering plans.
How to prepare for a job interview at Plexe AI
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with building and deploying ML/AI systems. Highlight specific projects where you've used Python, AWS, Docker, or any relevant frameworks like React or FastAPI.
✨Demonstrate Problem-Solving Abilities
Plexe is tackling hard problems in the ML/AI lifecycle. Be ready to share examples of how you've approached complex challenges in previous roles and the innovative solutions you implemented.
✨Emphasise Collaboration and Leadership
Since the role involves cross-functional collaboration, discuss your experience working with co-founders or teams to translate business needs into technical solutions. Show that you can lead technical decisions and architecture design.
✨Express Your Passion for AI and ML
Convey your enthusiasm for AI and machine learning. Talk about any personal projects or continuous learning efforts you've undertaken in this field, as it shows your commitment and eagerness to contribute to Plexe's mission.