Machine Learning Engineer

Hey 👋 I’m Bill – CTO at Pinpoint.

We’re a high-growth HR-tech startup, building and selling software that helps in-house recruitment teams attract, hire, and onboard the right talent. Today, we have a strong foundation in place, with a mature product, strong product-market fit, and happy customers.

We’ve been intentional in our approach to AI, ensuring it aligns with our product vision and delivers real value. Now, we’re ready to take the next step—expanding our AI capabilities to stay competitive and elevate the hiring experience for our users. We’re hiring an AI Product Engineer to lead the design and delivery of practical, high-impact features powered by LLMs and other AI tools.

The fine print (but way more exciting):

• This is a remote, UK-based role, with occasional in-person meetups. Our HQ is in Jersey, and we’re a growing team of ~80 (20 in Product & Engineering) across the UK, US, and EU.
• We’ve already shipped a handful of AI-powered features using OpenAI and other APIs — now we’re looking for an engineer to take things further. You’ll design, build, and ship high-impact AI features into our live SaaS product — features real recruiters rely on every day.
• You’ll be our first engineer focused primarily on AI, so we’re looking for someone who can both deliver working code and help shape how AI is adopted across the product.
• This isn’t a research role — you won’t be training models from scratch. You’ll be building production features using tools like OpenAI, Hugging Face, LangChain, and more.
• This is not a data science role, and it’s not about experimental prototypes that never ship. We care about practical, effective features that streamline hiring workflows, reduce manual effort, and surface meaningful insights.
• Our values shape who we are and how we work. We’re excited to meet candidates who share these principles and will bring these values to life in their work.
• Our full stack can be found here.

About the Role

• Design, develop, and deploy AI-driven features that enhance recruiter workflows and decision-making
• Own AI feature development from prototype to production, including backend implementation, deployment, and observability
• Work cross-functionally with Product, Engineering, and Customer Success to align AI-powered features with user needs
• Evaluate, fine-tune, and integrate third-party AI models (e.g., OpenAI, Hugging Face) into our SaaS platform
• Define best practices and workflows for integrating AI into a high-growth SaaS product
• Contribute to the design and evolution of our AI infrastructure, including model selection, tooling, and evaluation

About You

• You’ve designed, built, and shipped AI-powered features into production — not just prototypes or internal tools
• You’ve owned the full lifecycle: from idea to implementation to iteration based on real usage and feedback
• You have experience deploying AI/ML solutions in a SaaS or product-focused environment
• Strong Python skills and hands-on experience with tools like OpenAI, Hugging Face, LangChain, or other LLM frameworks
• Familiarity with LLMs, embeddings, RAG pipelines, and integrating AI into user-facing workflows
• You know when AI is the right solution — and when a simpler approach is better
• Experience working in a fast-paced, high-growth startup where speed, quality, and impact all matter