Senior AI Engineer

AudioStack

Senior AI Engineer responsible for architecting and delivering AI-driven audio production systems at AudioStack. Join a innovative team transforming audio content creation with intelligent solutions.

Posted 5/14/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Own the end-to-end delivery of agentic systems – from scoping with Product to shipping to production.
Design and implement multi-agent orchestration systems, including agent loops, tool-use patterns, and context management strategies.
Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches.
Build real-time communication layers (Server-Sent Events, WebSockets, HTTP/2 streaming) to power agent-to-frontend and agent-to-agent interactions.
Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best-in-class software foundation – all our engineers work to make the overall product exceptional.
Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices.
Collaborate with engineering and product leadership on technical direction, balancing short-term delivery with long-term platform health.
Own the quality of the systems you build – including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback.

Requirements

What you’ll need

Strong production experience with Python and a track record of shipping backend systems to production end-to-end.
Practical, hands-on experience building agentic AI systems.
Demonstrated ability to operate in a resource-constrained, fast-moving environment with ambiguous objectives and shifting priorities.
Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade-offs clearly.
Experience with real-time communication protocols.
Practical experience with cloud infrastructure, CI/CD pipelines – enough to bring a solution to production without depending on a dedicated infra team.
A track record of raising engineering quality in a team – through code review, mentoring, or introducing better practices.
Desirables
Hands-on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine-tuning LLMs.
Familiarity with agentic coding tools (e.g. Claude Code) and an understanding of patterns like context saturation management and agentic development loops.
Background in audio, speech, or media technology.

Benefits

Comp & perks

💰 Stock Options (subject to performance and time served).
🎛 The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds.
🎹 Be part of a great story: we are making audio scalable for the first time in history.
⏱ Hybrid working and Flexible working hours with 2 days in the office per week.
🛠 The opportunity to shape a startup culture in a company in the fast-growing audio/video space.
🗺 A truly international and diverse team.
🥵 Offices in the hottest startup hubs London, Barcelona, New York and San Francisco
🐶 Dog friendly offices (come and meet Swanson and Bernie)!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonbackend systemsagentic AI systemssystems designreal-time communication protocolscloud infrastructureCI/CD pipelinesLLM integrationprompt engineeringRAG pipelines

Soft Skills

problem scopingcommunicationmentoringcode reviewknowledge sharingbalancing prioritiesincident responseiterative developmentcollaborationquality assurance