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Full Stack Engineer (Founding Engineer)

Hybrid London | £100,000+ Equity

This is a rare opportunity to join an early-stage technology business as a foundational software hire. You will have significant ownership from day one, working across mobile, cloud, and connected device technologies while helping shape the long-term software strategy and engineering function.

The Company

They are an innovative technology business developing connected products that combine hardware, software, and data to deliver meaningful real-world impact. Their product is already in market with a growing user base and a clear roadmap for future growth. The team is highly collaborative, technically strong, and focused on building solutions that genuinely improve customer outcomes. You will join at a pivotal stage, with the opportunity to influence both product direction and technical decisions.

The Role

You will take ownership of key software systems across mobile applications, cloud infrastructure, and device connectivity, working closely with senior stakeholders and technical teams.

Responsibilities include:

• Building and maintaining mobile applications across iOS and Android platforms.
• Developing and optimising Bluetooth Low Energy (BLE) connectivity between devices and applications.
• Designing and managing AWS-based cloud infrastructure and backend services.
• Creating scalable data ingestion and processing pipelines.
• Supporting the integration of AI-driven functionality into customer-facing products.
• Owning software quality, observability, deployment, and release processes.
• Collaborating with product and engineering teams to translate requirements into production-ready solutions.
• Contributing to the growth and development of the software function as the business scales.

Your Skills & Experience

• Strong commercial experience building and shipping production software.
• Proven experience developing and deploying mobile applications.
• Hands-on experience working with Bluetooth Low Energy (BLE) connected devices.
• Strong knowledge of AWS cloud services, infrastructure, authentication, and data systems.
• Full stack development capability across frontend, backend, and infrastructure.
• Experience leveraging AI tools and understanding how AI can enhance product experiences.
• Comfortable operating in fast-moving environments with high levels of ownership.
• Strong communication skills and the ability to collaborate across technical and non-technical teams.

Desirable experience:

• Health technology, regulated environments, or sensitive data applications.
• IoT platforms and connected device ecosystems.
• Time-series data, signal processing, or analytics-focused products.
• Over-the-air firmware updates.
• Mentoring engineers or contributing to technical leadership.
• Early-stage startup or scale-up environments.

What They Offer

• Genuine ownership of a core product and technology stack.
• Significant exposure to senior leadership and strategic decision-making.
• Clear progression into technical leadership as the company grows.
• Opportunity to help shape engineering culture, processes, and future hiring plans.

How to Apply

If you’re excited by the opportunity to build scalable software, work across mobile, cloud, AI, and connected technologies, and play a key role in an ambitious growth journey, please apply today.

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Data Engineer

London – 4-5 Days per Week in Office

£70,000-£90,000 + Equity + Benefits

We’re working with a rapidly growing, YC-backed healthcare AI startup building a market-leading data platform used by pharmaceutical, biotech and healthcare organisations.

The Opportunity

This is not a role where you’ll maintain legacy pipelines or work on a small corner of an established platform. The team is specifically looking for engineers who have experience taking products, platforms or major features from 0-1.

You should be able to demonstrate that you’ve:

• Built something from scratch rather than simply maintained existing systems
• Worked through ambiguity with limited requirements
• Designed architecture and made key technical decisions
• Owned delivery from idea through to production
• Worked closely with product teams, users or founders to shape solutions
• Shipped products that generated real business value

The successful candidate will help build and scale the core data infrastructure powering the company’s platform, taking ownership of projects from raw data acquisition all the way through to production-ready products.

What You’ll Be Doing

• Building scalable ETL/ELT pipelines using Python and SQL
• Designing and developing data ingestion frameworks
• Working with large, complex and often messy datasets
• Leveraging AI and LLM technologies for extraction, classification and enrichment
• Building data products that directly support customers
• Designing schemas, entity resolution and data quality processes
• Collaborating closely with engineering, product and leadership teams
• Taking projects from concept through to production deployment

What We’re Looking For

Essential

• Strong Python and SQL skills
• Experience building production-grade data pipelines
• Proven ownership of end-to-end engineering projects
• Experience building products, platforms or major capabilities from 0-1
• Ability to operate independently in a fast-moving environment
• Strong problem-solving skills and technical foundations

Highly Desirable

• Startup or scale-up experience
• Experience working directly with founders or product teams
• LLMs, AI tooling or prompt engineering exposure
• Data acquisition, scraping or ingestion experience
• Snowflake, Databricks or modern cloud data platforms
• Experience turning technical outputs into customer-facing products

The Person

We’re looking for someone who enjoys building rather than maintaining.

You’ll thrive here if you get energy from starting with a problem, designing a solution and seeing it through to production. The ideal candidate will have a track record of operating in environments where ownership is high, processes are light, and shipping quickly matters. Years of experience are less important than evidence of what you’ve actually built.

Package

• £70,000-£90,000 base salary
• Opportunity to join a high-growth, YC-backed startup
• Significant ownership and autonomy
• Chance to help shape the future of a data-first AI product
• 4-5 days per week in the London office

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LEAD DATA ENGINEER (HEALTHCARE ANALYTICS PLATFORM)

REMOTE (US)

$175,000 – $200,000 BASE + BENEFITS

The Opportunity

We’re partnering with a rapidly growing SaaS company that helps healthcare, public sector, and human services organizations transform complex data into actionable insights. They’re seeking a Lead Data Engineer to play a key role in evolving and scaling a customer-facing analytics platform used to drive meaningful outcomes across healthcare and community programs.

This is a highly impactful, hands-on technical leadership position for someone who enjoys solving complex data challenges, influencing architecture, mentoring engineers, and owning critical data systems from end to end.

The role combines deep technical execution with strategic influence, making it ideal for a senior engineer who wants to shape the direction of a data platform while remaining close to the technology.

The Engineering Environment

The team operates in a collaborative, customer-focused environment centered around:

• Large-scale data ingestion and transformation
• Customer-facing analytics and reporting solutions
• Modern ELT data pipelines
• Cloud-based data platforms and orchestration frameworks
• Data modeling and architecture best practices
• Continuous improvement, automation, and scalability
• Cross-functional collaboration with Product, Analytics, Customer Success, and Implementation teams

What You’ll Be Working On

• Design, build, and maintain scalable data pipelines that power analytics products and customer reporting
• Lead architecture discussions and make recommendations around data platform improvements
• Develop and optimize data models used across reporting and analytics systems
• Integrate, onboard, and transform new customer data sources
• Troubleshoot customer-facing data issues and drive long-term solutions
• Improve reliability, automation, observability, and operational efficiency across the data platform
• Lead complex technical initiatives from planning and design through deployment and support
• Establish engineering standards, best practices, and technical frameworks
• Mentor and guide other engineers while helping elevate overall team capabilities
• Influence platform roadmap decisions and the future direction of the data engineering function

What We’re Looking For

• 7-10+ years of software or data engineering experience
• 5+ years of hands-on data engineering experience
• Expert-level SQL skills
• Strong Python experience focused on data processing and pipeline development
• Deep experience building and supporting large-scale ELT/ETL data pipelines
• Strong data modeling and data architecture expertise
• Experience with workflow orchestration tools such as Airflow, Dagster, or similar platforms
• Experience working with large, complex datasets and varying levels of data quality
• Proven technical leadership experience mentoring engineers or leading small engineering teams
• Ability to evaluate technical tradeoffs and make architecture recommendations
• Strong communication skills with both technical and non-technical stakeholders

Nice to Have

• Healthcare or healthcare analytics experience
• dbt experience
• PostgreSQL expertise
• Experience across multiple database technologies
• Background modernizing or migrating enterprise data platforms
• Experience supporting customer-facing analytics products

Why This Role

• Lead-level scope with significant technical ownership and influence
• Opportunity to shape the architecture and future direction of a growing data platform
• Highly visible work that directly impacts customers and end users
• Strong balance of hands-on engineering and technical leadership
• Collaborative, mission-driven environment focused on improving healthcare outcomes
• Fully remote work environment
• Potential long-term path into engineering leadership and people management
• Competitive compensation package and comprehensive benefits

This is an opportunity for a senior data engineering leader who enjoys solving ambiguous problems, building scalable data solutions, influencing architecture decisions, and helping teams deliver trusted analytics products at scale.

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To Apply for this Job Click Here

LEAD BACKEND ENGINEER – AI PLATFORM & SERVICES

REMOTE (U.S.)

$175,000 – $210,000 BASE + BENEFITS

The Opportunity We’re partnering with a growing SaaS organization that is investing heavily in AI and advanced analytics to build the next generation of intelligent software solutions. The company is looking for a Lead Backend Engineer to play a key role in bringing AI-powered capabilities to market. You’ll work at the intersection of software engineering, platform architecture, and machine learning, helping transform AI concepts into scalable, customer-facing products. This is a hands-on technical leadership position for someone who enjoys building systems, solving complex engineering challenges, and influencing technical direction without moving into people management.

The Engineering Environment The team is focused on:

• Modern cloud-based platform development
• Scalable backend architecture and distributed systems
• Production AI and machine learning applications
• Close collaboration between Engineering and Data Science
• Platform modernization and long-term technical strategy
• Agile development, CI/CD, and engineering best practices

What You’ll Do

• Design and build scalable backend systems that support AI-driven products and services
• Deploy and integrate technologies such as LLMs, generative AI, RAG, predictive models, and intelligent workflows
• Partner with Data Science teams to move machine learning models from experimentation into production
• Create reusable services and infrastructure that accelerate future AI development
• Lead technical initiatives from architecture and design through implementation and deployment
• Evaluate emerging technologies and help shape platform strategy
• Improve performance, reliability, scalability, and security across the platform
• Provide technical guidance and communicate architectural recommendations to stakeholders and leadership

What We’re Looking For

• 15+ years of software engineering experience
• Deep expertise in backend development with Java
• Experience designing and supporting large-scale SaaS or enterprise platforms
• Track record of delivering AI or machine learning solutions into production environments
• Experience working closely with Data Scientists and ML teams
• Strong architecture, system design, and technical leadership capabilities
• Cloud experience with AWS, Azure, or GCP
• Strong understanding of software quality, CI/CD, monitoring, security, and scalability
• Exposure to technologies such as Python, FastAPI, LangChain, vector databases, RAG, ML pipelines, model serving, or LLM integrations is a plus

Why This Role

• Direct influence on the company’s AI strategy and roadmap
• Build AI-powered products that have real customer impact
• High ownership and visibility across engineering leadership
• Work alongside product, data science, and executive stakeholders
• Opportunity to solve challenging technical problems at scale
• Fully remote work environment
• Competitive compensation and comprehensive benefits package

This is an excellent opportunity for a senior-level backend engineer who wants to remain hands-on while helping shape the future of AI-enabled products. The ideal candidate has a strong Java foundation, has successfully delivered AI capabilities into production, and enjoys turning innovative ideas into scalable, real-world solutions.

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Senior Product Engineer

£115,000 to £140,000 + Equity

Liverpool St., London

This is a rare opportunity to join a well-funded early-stage AI business as one of the first senior engineering hires. You will play a pivotal role in shaping a greenfield AI product, owning technical decisions, influencing the roadmap, and helping build an enterprise-grade platform used by leading organisations.

THE COMPANY

They are an AI startup developing advanced behavioural intelligence technology for enterprise customers. Their platform helps organisations better understand customer behaviours, preferences, and decision-making patterns to improve communications, customer engagement, and product experiences.

Having secured significant early-stage funding, they are now working with major enterprise clients and are focused on scaling their product from proof of concept into wider commercial deployment. With a small, highly experienced team, they offer the opportunity to make a meaningful impact from day one.

THE ROLE

As a Senior Product Engineer, you will take ownership of product development alongside senior leadership, helping transform innovative AI capabilities into a scalable commercial platform.

Specifically, you can expect to be involved in the following:

• Building and scaling a production-grade AI product from the ground up
• Designing and developing APIs and backend services that power enterprise customer integrations
• Owning the LLM application layer, including retrieval-augmented generation (RAG) workflows
• Improving model performance, reliability, evaluation frameworks, monitoring, and cost optimisation
• Working across the stack to deliver customer-facing features and platform capabilities
• Collaborating with stakeholders to translate customer feedback into product improvements
• Establishing engineering best practices across architecture, testing, deployment, and delivery
• Contributing to technical strategy and product roadmap decisions

SKILLS AND EXPERIENCE

The successful Senior Product Engineer will have the following skills and experience:

• Strong commercial experience as a Product Software Engineer or Software Engineer
• Experience building and scaling an LLM-enabled product from concept through to production
• Strong backend engineering expertise, ideally within API-first products
• Experience with Node.js and TypeScript, or a proven ability to transition successfully between technology stacks
• Understanding of RAG architectures, evaluation frameworks, guardrails, monitoring, and model optimisation
• Experience managing token usage, infrastructure costs, and scalability challenges in AI products
• Comfortable working autonomously in a startup or high-growth environment
• Strong product mindset with the ability to make technical and commercial decisions
• Excellent communication and stakeholder management skills
• React experience is beneficial but not essential
• Experience within Financial Services or other regulated industries would be advantageous

BENEFITS

The successful Senior Product Engineer will receive the following benefits:

• Salary between £115,000 – £140,000 – depending on experience
• Equity

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Data Engineering Lead

£70,000 – £90,000

London (1 day a week in office)

This is a rare opportunity to join a high-growth consumer business as its first dedicated data hire. You’ll have the chance to take ownership of an evolving data function, improve existing infrastructure, drive automation, and play a key role in shaping how the organisation uses data to support commercial decision-making. With significant scope for progression, this role offers a clear pathway into future leadership.

THE COMPANY

This fast-growing consumer business operates across multiple sales channels and international markets. Having experienced rapid growth and increasing operational complexity, they have invested in building the foundations of a modern data platform and are now looking to bring greater ownership and expertise in-house.

The business has already established a cloud-based data environment and is committed to becoming increasingly data-driven. As they continue to scale, data will play a critical role in supporting commercial performance, customer growth, operational efficiency, and future AI initiatives.

THE ROLE

As a Data Engineering Lead you will be responsible for developing and enhancing the organisation’s data capability while acting as the internal expert across engineering, analytics, reporting, and automation.

Specifically, you can expect to be involved in the following:

• Building, maintaining, and improving data pipelines and integrations
• Managing and developing the data warehouse and transformation layers
• Driving automation of manual reporting and analysis processes
• Supporting business stakeholders with trusted reporting and insights
• Developing dashboards and BI solutions using Power BI
• Integrating new data sources, including subscription and recurring revenue data
• Improving data quality, documentation, governance, and accessibility
• Working closely with commercial, marketing, and operational teams
• Contributing to the organisation’s longer-term AI and data strategy
• Helping shape and grow the future data function

SKILLS AND EXPERIENCE

The successful Data Engineering Lead will have the following skills and experience:

• Strong SQL and Python skills
• Experience working with cloud data warehouses, ideally BigQuery
• Knowledge of dbt or similar transformation frameworks
• Experience building and maintaining data pipelines and ETL/ELT processes
• Exposure to BI and dashboarding tools, particularly Power BI
• Experience working with customer, marketing, revenue, or operational data
• Understanding of subscription, recurring revenue, or customer lifecycle analytics
• Ability to work independently and navigate ambiguity in a growing business
• Strong stakeholder management and communication skills

BENEFITS

The successful Data Engineering Lead will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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