Full Stack Engineer

Retelligence; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

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Learning and Development budget

Job summary

Retelligence is seeking a Senior to Staff level Full Stack Engineer to join their London team in a hybrid capacity of 4 days in the office. The role offers a competitive salary ranging from £110k to £150k based on experience, along with benefits, share options, and a learning & development budget.

This position focuses on building complex systems that help large organizations leverage AI and real-time data to optimize operations. Successful candidates will thrive in dynamic, high-scale environments and possess strong systems thinking alongside excellent communication skills.

Qualifications

• Experience in high-scale startups or AI infrastructure.
• Strong understanding of infrastructure and product impacts.
• Ability to navigate complex engineering challenges.

Responsibilities

• Design and build scalable systems at the intersection of AI and operations.
• Take ownership of systems beyond implementation.
• Collaborate across infrastructure, product, and business contexts.

Skills

Systems thinking

Architectural trade-offs

Communication skills

Understanding scale and resiliency

Collaboration in technical discussions

Tools

Go

Python

Rust

Java

Job description

Senior to Staff level Full Stack Engineer

London

Hybrid - 4 days in office

Permanent

Salary - 110-150k (based on experience level)

+ Benefits, share options, L&D budget and more.

Some engineering roles are about shipping tickets.

This isn’t one of them.

We’re working with a company building genuinely difficult systems at the intersection of AI, infrastructure and real-world operational complexity. The platform itself is focused on helping large organizations better understand, simulate and optimize highly complex operational environments using large-scale data, AI models and real-time system interactions. A huge part of the challenge lies in turning messy, constantly evolving real-world inputs into reliable, scalable and commercially useful systems that customers can actually trust. The team are intentionally language agnostic.

They care far less about whether you write Go, Python, Rust or Java… and far more about how you think.

The environment would likely suit engineers coming from:

high-scale startups, platform teams, AI infrastructure environments, developer tooling companies or complex backend/product engineering organizations.

If you’re someone who enjoys solving genuinely difficult engineering problems but can also connect those decisions back to product and business impact, this will probably feel very different to most opportunities currently on the market.

Are you someone who:

• naturally think in systems
• can clearly explain trade-offs and architectural decisions
• understand the “why” behind technical choices
• take ownership beyond just implementation
• can move between infrastructure, product and business context comfortably

The strongest engineers here tend to:

• think deeply about scale, latency, resiliency and operational behaviour
• care about communication as much as implementation
• understand customer and product impact
• bring structure and clarity to ambiguous problems
• enjoy collaborative technical discussion and healthy challenge