At a Glance
- Tasks: Transform AI prototypes into scalable, production-ready applications while collaborating with finance teams.
- Company: Dynamic London-based private markets firm focused on innovative AI solutions.
- Benefits: Flexible rate, 12-month contract, and opportunity to work with cutting-edge technology.
- Other info: Inside IR35 role with excellent opportunities for growth and learning.
- Why this job: Join a team that values your input and challenges the status quo in AI development.
- Qualifications: Hands-on experience with AI APIs, strong Python and TypeScript skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
Oliver Bernard has partnered with a London-based private markets firm, and we’re hiring AI Forward Deployed Engineers to help turn our early internal AI work into scalable, production-ready capability. This is a rare blend of platform engineering and embedded delivery; you’ll spend roughly half your time building the enterprise AI infrastructure that underpins the firm, and the other half working directly with our investment and finance teams to convert their early prototypes into hardened production applications.
Responsibilities
- Rebuilding internal prototypes into a proper enterprise‑grade AI stack – model routing, cost transparency, audit, privacy proxies, and observability.
- Developing MCP connectors and agentic workflows across multiple systems of record.
- Embedding with business teams to take their AI experiments and add production layers: guard rails, regulatory requirements, and engineering discipline.
- Helping shape the platform direction – we want people who’ll challenge the current approach if they can justify a better one.
Qualifications
- Practical, hands‑on experience with Claude and ChatGPT APIs – tool use, structured outputs, prompting techniques.
- Strong Python and TypeScript skills; comfortable with modern cloud infrastructure.
- A track record of shipping LLM‑powered applications that real users depend on – passion projects count.
- Ability to sit with a senior investment professional, understand the problem, and deliver working software.
- Finance background not required – curiosity and communication matter more.
Stack: TypeScript, Python, Claude, ChatGPT, Double Word (private inference), Brain Trust (evals/tracing), Azure, MCP.
Additional Details: The role will be Inside IR35, flexible rate for the right person, and last for 12 months.
AI Forward Deployed Engineer employer: Oliver Bernard
As a forward-thinking private markets firm based in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our AI Forward Deployed Engineers will benefit from a unique opportunity to work at the intersection of technology and finance, with ample room for professional growth and the chance to influence our AI platform's direction. We offer competitive rates, flexible working arrangements, and a supportive environment where your contributions directly impact our success.
StudySmarter Expert Advice🤫
We think this is how you could land AI Forward Deployed Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and cloud infrastructure. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to Python, TypeScript, and AI APIs. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Forward Deployed Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Forward Deployed Engineer role. Highlight your hands-on experience with Claude and ChatGPT APIs, as well as your Python and TypeScript skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our needs. Don’t forget to mention any passion projects involving LLM-powered applications – we love to see your enthusiasm!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can sit with investment professionals and understand their problems, so share any relevant experiences that demonstrate your ability to deliver working software.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, especially Claude and ChatGPT APIs. Brush up on your Python and TypeScript skills, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Be ready to explain your thought process and how you approached building scalable applications, as this role requires a blend of engineering and business acumen.
✨Engage with the Business Side
Since you'll be working closely with investment and finance teams, think about how you can communicate technical concepts to non-technical stakeholders. Practice explaining your past projects in a way that highlights their impact on business outcomes.
✨Be Ready to Challenge the Status Quo
This role values innovation, so come prepared with ideas on how to improve existing processes or technologies. Think critically about the current approaches in AI deployment and be ready to justify your suggestions during the interview.
