Join us on our mission to make a better world of work. Culture Amp is the worlds leading employee experience platform, revolutionizing how 25million employees across more than 6,500 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop highperforming teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on CultureAmp every day. CultureAmp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. CultureAmp has been recognized as one of the worlds top private cloud companies by Forbes and most innovative companies by Fast Company. For more information visit cultureamp.com. How you can help make a better world of work We''re looking for an Engineer to join the AI Research & Experience team, helping build critical components for AI Coach - Culture Amp''s contextuallyaware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale. Youll work at the intersection of applied AI research and product engineering, translating cuttingedge techniques into production systems that genuinely improve how people experience work. This isn''t a research lab - you''ll be shipping features that solve real customer problems. What youll do Staying up to date with current research, literature and provider offerings. Design, implement and evaluate areas and features of our multiagentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multiturn coaching conversations. Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 11 notes) into coherent coaching context Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice. Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and inline with the existing product expectations to ensure seamless partnership transfer of technology. Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness. Build cuttingedge, working prototypes, integrated into our environments which validate new approaches and accelerate learning. What were looking for Must Haves Proven commercial experience taking ML/AI systems to production. Strong technical writer and communicator Full stack software development experience, ideally Python, React, PGVector Strong software engineering fundamentals - you write clean, tested, maintainable code. You leverage Software development AI tooling effectively. Experience with LLM application development (prompt and context engineering, RAG, agent architectures) You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability. Desirable Handson experience designing and integrating data pipelines - you''re comfortable moving data across systems, working within rigorous security standards, handling messy realworld inputs, and building robust orchestration. A pragmatic, solutionfocused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?" Strong signals Experience at startups or founding teams - comfortable with ambiguity and fast iteration. Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field. Evidence of taking cuttingedge (relevant) techniques from paper to production. Experience with evaluation/benchmarking frameworks for AI systems. Experience integrating scalable solutions such as advanced SpeechtoText (STT) and TexttoSpeech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities. Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j). Bonus Familiarity with people analytics, HR tech, or behavioural science applications. Contributions to data ethics, algorithmic fairness, or responsible AI initiatives. Open source contributions or public technical writing. We believe that our employees are the heartbeat of our success. We''re committed to fostering a work environment that truly cares for and develops its people, and creates lasting positive impact. In addition to providing a competitive compensation package, some of the key benefits we offer are: Employee Share Options Program: We empower you to be an owner in CultureAmp and share in our success. Programs, coaching, and budgets to help you thrive personally and professionally. Access to external providers for mental wellbeing and coaching support to sustain the wellbeing, safety and development of our people. Monthly Camper Life Allowance: An automatic allowance paid out each month with your pay - you can spend it however you like to help improve your experience and life outside work. Team budgets dedicated to team building activities and connection. Intentional quarterly wellbeing pauses: A quarterly companywide shutdown day in each region to collectively pause, reset and focus on restoration and rest, without having to tap into individual vacation time. Extended yearend breaks: An extended refresh period at the end of year. Excellent parental leave and inwork support program available from day 1 of joining CultureAmp. 5 Social Impact Days a year to make a positive impact on the community outside of work. MacBooks for you to do your best & a work from home office budget to spend on setting up your home office. Medical insurance coverage for you and your family (Available for US & UK only). Additionally, we don''t just focus on our internal community; we believe in creating a better world of work for all. We''re committed to diversity, equity, and inclusion, with Employee Resource Groups and ally communities in place. We have a strong commitment to AntiRacism, and endeavor to lead by example. Every step we make as a business towards antiracism is another step we can take to support our customers in making a better world (of work). You can see our current commitments to AntiRacism here. Please keep reading... Research shows that candidates from underrepresented backgrounds often don''t apply for roles if they don''t meet all the criteria unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if youre interested: we''d love to know how you can amplify our team with your unique experience! If you decide to apply, as part of your application, we will ask you to complete voluntary diversity questions (excluding roles in Germany). These questions are completely optional, but your participation truly helps. By sharing this anonymous information, you support our efforts to build a more inclusive and equitable hiring processand help us hold ourselves accountable to that commitment. Your responses are entirely confidential and will not impact hiring decisions. If you require reasonable accommodations or adjustments due to a disability to complete the online application or to participate in the interview process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. CultureAmp will retain your CV & personal information for a period of two years (four years for the US) from the date of your application process completion. CultureAmp may contact you in relation to future job opportunities during this time period. For further information please see our privacy policy here or contact . #J-18808-Ljbffr
Job Title
AI Engineer - Applied AI