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 enjoy unpacking complexity 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:
ask difficult questions early 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 platform and infrastructure design”, “datePosted”: “2026-05-22”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Retelligence”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__439409205__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }
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 enjoy unpacking complexity 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:
ask difficult questions early 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 platform and infrastructure design…