Wave Mind
Wave Mind

Product Engineer

3 product engineers worth a look

Vetted on a call by a Wave consultant, not scraped. £90,000 to £100,000.

3 people£90,000 to £95,000 asking
Names held back until you askSame working day replyWell under agency feesOnly if you hire
Each one has what they build, what they want and how they came across. Open a card for the evidence, or tick the ones worth a conversation and send them together.
Proof
  • Rebuilt a recruitment platform from scratch over 18 months and now leads AI feature development on it with LangGraph and LangChain.
  • Rewrote the email system and cut error rates from 30% to 2%.
  • Builds hybrid retrieval, vector search, embeddings and semantic ranking with evaluation and failure-mode coverage, on Node, TypeScript and AWS serverless.
Stack

TypeScript, React, Next.js, Node.js · Python, MongoDB, AWS Lambda, SQS · LangGraph, LangChain, Playwright, Posthog

Track record

Twelve years across 5 employers, from freelance web development and a bar partnership into consultancy, an insurtech and now recruitment technology. Average tenure 2 years 6 months with a longest stint of 7 years 9 months.

Worth knowing

Notice period unconfirmed, and pay is the driver, so the number will decide this one. Won't take fully remote with no human contact.

Education

Degree in marine biology. Certified Scrum Master.

No obligation, and nothing owed unless someone starts.
Proof
  • Owned the product lifecycle at a health tech compliance platform, from architecture and CI/CD through to user experience and customer delivery.
  • Built revenue-generating products in a startup environment on TypeScript, React and GCP with Cloud Run, AlloyDB and Pub/Sub.
  • Worked as a research software engineer on an aviation decarbonisation programme inside a university engineering department.
Stack

TypeScript, React, Node.js, Bun · Python, Rust, FastAPI, PostgreSQL · GCP, Cloud Run, Terraform, GitHub Actions

Track record

Four years across 7 employers including internships and research posts, the substantive record being research engineering at a university and a health tech startup. Average tenure 9 months with a longest stint of 2 years 8 months.

Worth knowing

Average tenure of 9 months, though most of that is internships and research placements. Rules out very early stage companies, and asked us to work around a trip to Malaysia when scheduling.

Education

Masters in engineering from a top ranked UK university.

No obligation, and nothing owed unless someone starts.
Proof
  • Built the first internal AI chatbot at a global exchange group, then took end to end ownership of cross-functional AI initiatives there.
  • Runs production LLM systems with LangChain, Langfuse, Bedrock, SageMaker and RAGAs, with AI observability and tracing in place.
  • Holds a first class degree and 4 certifications including AWS AI Practitioner, alongside Snowflake, Talend and Power BI data work.
Stack

Python, AWS, Terraform, Ansible · LangChain, Langfuse, Bedrock, SageMaker, RAGAs · Snowflake, Talend, GitLab CI

Track record

Twelve years on file, though the commercial engineering career is 4 years across an exchange group and a media placement, the rest freelance photography alongside study. Average tenure 2 years 11 months with a longest stint of 12 years 2 months on the freelance record.

Worth knowing

Six weeks notice. The 12 years on file includes a long freelance photography record, so the engineering track is shorter than the headline suggests.

Education

First class degree in IT management from a Russell Group university. AWS AI Practitioner and Cloud Practitioner.

No obligation, and nothing owed unless someone starts.

None of these quite right?

Tell me which came closest and I recalibrate, then come back with 10 to 15 more inside 24 hours.

Show me the wider bank

How the next bit goes

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