> Markdown version of [/jobs/ext/4610710-software-engineering-lead-multimodal-ai-products](https://www.wearedevelopers.com/jobs/ext/4610710-software-engineering-lead-multimodal-ai-products). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Lead, Multimodal AI Products - **Company:** G2 - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Computer Programming, Python (Programming Language), Machine Learning, Node.Js, OpenAI, Software Engineering, TypeScript, Web Application Frameworks, ReactJS, Claude Code, Backend, Fastapi, Build Management - **Published:** November 7, 2026 - **Apply:** https://startup.jobs/software-engineering-lead-generative-ai-image-audio-gtwo-10163190 ## About the Role We realize applying for jobs can feel daunting at times. Even if you don't check all the boxes in the job description, we encourage you to apply anyway. * 10+ years of professional programming experience in backend and application environments * 2+ years of experience directly managing engineers * Expert-level proficiency in Python or Typescript/Javascript; strong working knowledge of modern backend & web application frameworks like FastAPI, Node, React, or Rails * Hands-on experience building AI and agent-powered features using frontier models from OpenAI, Google, and others beyond text generation use cases to include multimodal (image, audio) generation * Direct experience refining product requirements in collaboration with a product owner * Regular use of coding agent harnesses like Claude Code, Codex, Opencode, or Pi as part of the daily software development workflow * BS/BA degree in related field * Based in London or surrounding areas and able to work on-site 1-2 days a week in the London office. ## Description As a Software Engineering Lead, Multimodal AI Products, your responsibilities will center around our multimodal AI products & features which serve buyers & sellers in the software marketplace. You'll lead the core team behind these products. The team will enhance G2's content generation systems to take advantage of the advancements in multimodal agents & AI models' image and audio capabilities, and help bolster quality. You will use agentic engineering techniques and leverage "agent-first" ways of working to deliver your products and features. Please note, the Software Engineer Lead role is hybrid in London. Onsite in the London office 1-2 days a week. Detailed Responsibilities: Build new products and features [80%]: * Contribute across the full software stack to deliver agent-driven user journeys to production, owning implementation quality from architecture to release * Design and build features driven by frontier models, with prompting, context, tools, and model reasoning to generate visual and audio experiences * Apply software engineering and system design principles to produce solutions that are observable, maintainable, scalable, and production ready * Validate solutions against functional requirements using evals and tracing to ensure content and experience quality is measured and monitored through metrics measured in CI and production * Help drive product definition: ideate, explore, and prototype with stakeholders, then cut down possible options to arrive at deliverable, but well-rounded solutions * Help conceive and ship features & MVP iterations early in the product definition phase that directly advance high-visibility organizational goals * Partner with product owners to identify what technology makes possible, and what makes implementing a given product or feature hard. Bring that perspective into project scoping and prioritization Lead a group of engineers and be a source of wider influence [20%] * You will facilitate the growth and mentorship of a core team of engineers, and be a source of technical leadership and subject matter expertise on multimodal AI for them