Wave Mind
Wave Mind

Founding Engineer

3 founding engineers worth a look

Vetted on a call by a Wave consultant, not scraped. Up to £95,000.

3 people£55,000 to £90,000 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
  • Founding engineer on an AI powered eczema assessment platform for patients and GPs, one of three full time core team members.
  • Seven years taking AI products from concept through prototype to deployable MVP, with full stack ownership of backend, mobile, web and model deployment.
  • Certified in software as a medical device, IEC 62304 and IEC 82304-1, plus AWS Solutions Architect and AWS Machine Learning.
Stack

Python, FastAPI, C/C++, TypeScript · React, Flutter · AWS SageMaker, Lambda, RDS, S3, Docker, PostgreSQL, PyTorch

Track record

Five employers over eleven years, split between medical device research, prosthetics engineering and a university spin out, with a PhD in the middle. 5 employers, average tenure 2 years 4 months.

Worth knowing

Two months notice, and most of the last decade sits inside regulated medical device work, so the pace of a commercial startup is the thing to test.

Education

Masters in systems and control from a globally ranked university, plus a PhD.

No obligation, and nothing owed unless someone starts.
Proof
  • Architected cloud native FastAPI backends and an LLM driven compliance and carbon reporting product as the sole engineer at a two person company.
  • High performance computing background covering MPI, OpenMP, CFD simulation and digital twin modelling at two large European engineering groups.
  • Built multi agent and RAG systems on LangChain, Langsmith and Gemini, with Google Document AI in the pipeline.
Stack

Python, C++, FastAPI, SQL · JavaScript, React · GCP, GitLab CI, LangChain, PyTorch, scikit-learn

Track record

Five employers over five years, starting in computational engineering at two large European industrial groups before two founding engineer seats. 5 employers, average tenure 8 months.

Worth knowing

Average stint is eight months and they are live with four other early stage processes, so anything slow loses them.

Education

Masters in applied computational science and engineering from a Russell Group university.

No obligation, and nothing owed unless someone starts.
Proof
  • Built and ran the world's largest protein database on AWS at a biotech research company.
  • Runs an AI consultancy as sole founder, delivering agentic LLM systems, vector and graph database work and cloud infrastructure across multiple clients.
  • Cloud and data engineering across biotech and fintech covering EKS, AWS Glue, Batch, Step Functions, Terraform, Neo4j and Elasticsearch.
Stack

Python, Scala, SQL · AWS EKS, Glue, Batch, Lambda, Terraform, Docker · PyTorch, Neo4j, Elasticsearch, DynamoDB

Track record

Eleven employers over twelve years spanning biotech, pharma, fintech and university research, most recently as a solo consultancy founder. 11 employers, average tenure 1 year.

Worth knowing

Eleven employers and an average stint of a year, much of it research and consultancy, so stability is the thing to ask about even though that is exactly what they say they want.

Education

Masters in intensive data analytics from a Russell Group university.

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

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