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About Native
Native is a VC backed AI startup in stealth, building the most accurate AI over highly complex data. This is hard. This is an unsolved problem with the potential to change how every large enterprise operates.
Our HQ is in London and we operate with a Silicon Valley mindset. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6 day week and has the ambition to build something world-changing.
We are hiring exceptional engineers to design and build the infrastructure that makes this possible.
About The Role
This is a founding role, with opportunity to set the engineering direction and shape the architecture from day one.
This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win.
“It doesn’t make sense to hire smart people and tell them what to do”
At Native, we look for people with exceptional research and engineering ability, who want to win.
Everyone loves building, and is ambitious enough to want to change how the world operates for the better.
We run towards hard problems.
We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that.
If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.
Interview Process
Native is a VC backed AI startup in stealth, building the most accurate AI over highly complex data. This is hard. This is an unsolved problem with the potential to change how every large enterprise operates.
Our HQ is in London and we operate with a Silicon Valley mindset. Everyone has high agency, obsessed with the problem we are solving, embraces the intensity of a 6 day week and has the ambition to build something world-changing.
We are hiring exceptional engineers to design and build the infrastructure that makes this possible.
About The Role
This is a founding role, with opportunity to set the engineering direction and shape the architecture from day one.
- Design and build robust backend services and APIs to support model training, inference, and enterprise integrations.
- Architect scalable distributed systems to handle high-throughput workloads.
- Implement monitoring, logging, and performance optimisation across production systems.
- Work closely with research engineers to productionise cutting-edge ML models.
- Take ownership of mission-critical backend components end-to-end.
- MSc/PhD in Computer Science or related field.
- Exceptional software engineering ability with expertise in Python and, Go or Java.
- Experience designing and scaling distributed backend systems.
- Strong understanding of APIs, microservices, and cloud infrastructure.
- Track record of building and maintaining high-availability systems in production.
- Proven ability to deliver quickly in ambiguous, high-stakes environments.
This is a rare chance to join a founding team operating at the frontier of AI, with the resources to win.
- Impact: You will design the core infrastructure that powers a new class of foundation model.
- Team: We are a small, collaborative, world-class research and engineering team based in central London. We’ve already achieved rank #1 on leading public benchmarks, and we’re just getting started.
- Founding level equity + competitive salary: We want you to share in the upside of what we are building. As part of the founding team you will receive meaningful ownership alongside a salary that allows you to focus on building something great.
- Direction: Chance to shape the direction of a new class of foundation model from day one.
“It doesn’t make sense to hire smart people and tell them what to do”
At Native, we look for people with exceptional research and engineering ability, who want to win.
Everyone loves building, and is ambitious enough to want to change how the world operates for the better.
We run towards hard problems.
We are creative problem solvers, who keep going until we find the underlying principle of the problem, and build to solve that.
If you have an entrepreneurial spirit, are intrinsically motivated and want to have a huge impact, we are a great fit.
Interview Process
- Introduction call (remote)
- Take home technical challenge and discussion call (remote)
- Technical interview (In-person London, possible remote)
- On-site final interview (In-person, London)
Key Skills
Ranked by relevance
ai
microservices
python
cloud
java
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- Posted
- Oct 12, 2025
- Type
- Full-time
- Level
- Entry
- Location
- London
- Company
- algo1
Industries
Data Infrastructure
Analytics
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-01-08
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Full Stack Engineer
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