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- Tasks: Design and build AI systems that improve mental health care for users.
- Company: Join Limbic, a leader in AI-driven mental health solutions.
- Benefits: Competitive salary, equity options, flexible remote work, and 25 days PTO.
- Why this job: Make a real difference in mental health with cutting-edge AI technology.
- Qualifications: 4+ years in AI, expert in Python, and experience with LLMs.
- Other info: Inclusive culture encouraging diverse applicants and excellent career growth.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Senior Applied AI Engineer role at Limbic.
About Limbic
Limbic’s vision is to ensure the highest quality therapy is accessible to everyone, everywhere. The way we do that is by deploying AI responsibly, using it to augment clinical care and reduce barriers to accessing therapy at scale. Limbic is already used in over 40% of Talking Therapies in the NHS, which makes us the largest-ever deployment of generative AI for direct patient care. Limbic is deemed safe and effective after successfully gaining UKCA Class IIa certification, the only AI mental-health chatbot to do so. Every day, 1,000+ patients interact with Limbic, making therapy more accessible. Limbic goes beyond replacing existing processes with AI and helps 189 people recover from their mental-health challenges who otherwise would not have.
The Role
As a Senior Applied AI Engineer, you will be at the heart of translating our pioneering AI research into products that tangibly improve our users’ lives. You will take ownership of the entire lifecycle of new generative-AI features, from architectural design and prototyping through to production deployment and continuous monitoring. This is a role for a builder—someone motivated by shipping impactful, safe, and scalable AI-powered software.
What You’ll Do
- Architect and Build: Design, build, and deploy robust, scalable systems that integrate cutting-edge LLMs (from OpenAI, Anthropic, Google, and self-hosted models like Llama) with our proprietary clinical safety frameworks.
- End-To-End Ownership: Own the full development lifecycle of LLM-powered features, ensuring they are seamlessly integrated with the rest of our product stack, including security, orchestration, and data pipelines.
- Drive Evaluation and Safety: Develop and implement novel evaluation methodologies that combine quantitative LLM-evals, user testing, and clinical trial data to ensure our products are not just effective, but safe.
- Ensure Production Excellence: Design and implement continuous monitoring and improvement strategies for our AI systems in production, applying MLOps best practices to maintain reliability and performance.
- Mentor and Lead: Elevate fellow engineers through thoughtful code reviews, architectural guidance, and by championing engineering best practices. You will be a key technical voice on the team.
- Innovate and Tune: Collaborate with our research and clinical teams to help build, fine-tune, and experiment with custom models tailored to the unique challenges of mental healthcare.
Sample Recent Projects
- Lead the ML architecture and deployment of a voice-based AI agent for mental health service phone calls, integrating safety guardrails and implementing continuous monitoring systems.
- Collaborate with clinicians and application engineers to develop an AI-powered triage system that conducts text-based patient intake conversations, gathering critical information to provide clinicians with actionable insights.
- Train, evaluate, and deploy models to detect and mitigate problematic user interactions, enhancing patient safety.
- Design and execute experiments comparing the therapeutic sessions delivered with voice vs. text-based AI agents.
What You’ll Bring
- 4+ years of industry experience with a proven track record of shipping and maintaining production applications powered by Large Language Models (LLMs).
- This position requires availability during standard business hours for our teams across Europe (UTC to UTC+3).
- Ability to work from London (Spitafields) office 1-day per week is preferred. Limbic cannot provide visa sponsorship.
- Expert-level proficiency in Python and a deep understanding of at least one backend web framework (we use FastAPI).
- Strong architectural skills with experience designing scalable, production-grade systems for machine learning applications.
- Hands-on experience with a major cloud platform (AWS, GCP, or Azure) and containerization technologies (Docker).
- A solid understanding of statistical principles in the context of LLM evaluation and user activity analytics.
- Proficiency with databases (SQL or NoSQL) and version control systems (Git).
- A genuine interest in applying your technical skills to solve complex challenges in the mental healthcare space.
- Bonus: Experience with TypeScript / JavaScript.
Benefits & Wellbeing
- Competitive salary and equity share options.
- An amazing office in central London with flexibility for remote work.
- 25 days PTO plus bank holidays.
- Company pension scheme (UK).
- Enhanced parental leave packages (UK).
- Support with purchasing work-related books and materials.
- Quarterly Life Days: Enjoy 4 paid days off per year to use whenever you choose - one each quarter - to relax, recharge, or take care of personal matters.
- Mental Health Support: Access to mental health support services.
We encourage women and individuals from diverse backgrounds to apply and join our team. We believe in creating an inclusive and supportive work environment where everyone can contribute their best.
Senior Applied AI Engineer employer: Limbic
Contact Detail:
Limbic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Limbic employees on LinkedIn. A personal introduction can make all the difference when applying for that Senior Applied AI Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving LLMs or AI applications. This will give you an edge and demonstrate your hands-on experience to the hiring team.
✨Tip Number 3
Ace the interview by practising common technical questions related to AI and machine learning. Be ready to discuss your past projects and how you've tackled challenges in production environments. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Limbic team.
We think you need these skills to ace Senior Applied AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Applied AI Engineer role. Highlight your experience with LLMs and any relevant projects that showcase your skills in building scalable systems. We want to see how your background aligns with our mission at Limbic!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about mental healthcare and how your technical expertise can contribute to our vision. Keep it engaging and personal, so we get a sense of who you are beyond your qualifications.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a voice-based AI agent or an innovative triage system, we love seeing real-world applications of your skills. Include links or descriptions that demonstrate your impact.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Limbic!
How to prepare for a job interview at Limbic
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI, especially around Large Language Models (LLMs). Be ready to discuss how you've applied these technologies in your previous roles and how they can be integrated into mental healthcare.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in your past projects. Think about specific instances where you designed scalable systems or improved existing processes, and be ready to explain your thought process.
✨Understand Limbic's Mission
Familiarise yourself with Limbic’s vision and the impact of their AI solutions in mental health. Being able to articulate how your skills align with their mission will show your genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the company. Inquire about their current projects, the team dynamics, or how they measure the success of their AI implementations. This shows you're engaged and serious about contributing.
