About AudioStack 🦜

AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation.

About the Role

AudioStack is building the next generation of intelligent and automated audio creation – a system that uses AI agents to orchestrate audio production at scale. We’re looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines.

You’ll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands-on, high-ownership role: you’ll scope problems with the product manager, design solutions, build them, and see them through to production – all in a fast-moving environment where priorities shift and ambiguity is the norm.

What You’ll Be Doing

• 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.
  

• 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.