g2 - Software Engineering Lead, Multimodal AI Products

London - Hybrid3w ago

In Office Staff EMEA Software Software Engineer Product Owner Python TypeScript JavaScript FastAPI React

Requirements

• 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 • Direct experience applying multimodal (audio, image) AI in content production or generation workflows • 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. • WHAT CAN HELP YOUR APPLICATION STAND OUT: • Direct experience building interactive realtime multimodal agents acting over long sessions & context windows • Experience with dynamic video content generation fusing motion graphics and audio • Our Commitment to Inclusivity and Diversity • At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here https://culture.g2.com/commitments. • For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice https://legal.g2.com/applicant-privacy-notice before applying to this job. • How We Use AI Technology in Our Hiring Process • G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment. • Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team. • For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice https://legal.g2.com/applicant-privacy-notice.

Responsibilities

• Please note, the Software Engineer Lead role is hybrid in London. Onsite in the London office 1-2 days a week. • 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

Benefits

• Voice AI / text-to-speech or speech-to-text agents • Image generation (diffusion models, Gemini/OpenAI image models, etc.) • Video or motion-graphic generation • None of the above • Building product features on top of frontier models via API (prompting, tools, agents, RAG) • Training or fine-tuning core AI/ML models (research-focused) • Data science / analytics using AI tools • Limited hands-on AI/ML work • In a few sentences, describe one specific AI feature you personally designed and built that generates audio, image, or video content in production (any one of these counts — you don't need experience across all three). Name the model(s)/provider(s) used, your specific role, and one concrete engineering trade-off you made. • Do you agree to allow G2 to contact you about job opportunities for up to 1080 days? • Recruiting Privacy Policy • G2 may use Artificial Intelligence with this application. Learn more.