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Bjakcareer

Staff Software Engineer, AI Applications

United KingdomHybrid · United Kingdom
Staff · FullTime · ActAI Engineering
POSTED 10 NOVVERIFIED 9M AGO
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Role
0 days opentrue age
Posted 10 Nov
Pay
£115k–£188kno pay posted
Market p25–p75
£115k–£188k
United Kingdom · n=33 · 365d to 6 Nov
CompanyBjakcareer →
2,000open roles
Opened · 30d
+210
Closed · 30d
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8d of snapshots · 30d window
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9,266open · Staff Software engineering
Opened · 7d
+4995% of open
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75,147open
All tracked boards · live 10 Nov · n=9,266
LLMsDistributed systems

About ActAI

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

Role

Lead application architecture and engineering across backend, mobile and desktop platforms

Design systems for AI-powered workflows, including orchestration, state management, retries and failure recovery

Build and review backend services, APIs and integrations that connect AI systems with product features

Make technical decisions on system design, performance, reliability, security and infrastructure

Lead a small team of senior engineers through technical design, code reviews and engineering guidance

Work with ML and product teams to integrate AI capabilities into production applications

Improve system performance, monitoring, testing and production reliability

Requirements

8+ years of software engineering experience, including technical leadership of production applications

Strong backend engineering expertise, including APIs, databases, distributed systems and cloud infrastructure

Experience designing and scaling systems across multiple services or application platforms

Hands-on experience integrating LLMs or AI-powered features into production applications

Ability to make architecture decisions, review code and resolve difficult engineering problems

Experience leading senior engineers through technical design, code reviews and mentorship

Strong understanding of system performance, concurrency, reliability and production monitoring

Nice to Have

Experience building AI agents, orchestration systems or multi-step workflows

Experience developing applications across web, mobile and desktop platforms

Experience with messaging, email, collaboration or productivity applications

Experience leading engineering teams in early-stage technology companies

Source · BjakcareerFirst seen 3 Nov1 editsOriginal ↗