At a Glance
- Tasks: Build and scale next-gen AI platforms while collaborating with finance teams.
- Company: Leading private markets investment firm investing in enterprise AI.
- Benefits: 12-month contract, strong extension potential, hybrid working, and exposure to cutting-edge AI tech.
- Other info: Dynamic role at the intersection of software engineering and AI platform development.
- Why this job: Shape AI adoption and work on high-impact business initiatives.
- Qualifications: Strong software engineering skills, Python expertise, and experience with LLM applications.
The predicted salary is between 80000 - 98000 £ per year.
We're partnering with a leading private markets investment firm that is making significant investment into enterprise AI and looking to hire an AI Forward Deployed Engineer to help build and scale its next-generation AI platform. This is a unique role sitting at the intersection of software engineering, AI platform development, and business-facing delivery. You'll work directly with investment and finance teams to identify high-value use cases while also helping build the governed AI infrastructure that enables AI adoption across the firm.
Key Requirements
- Strong software engineering background with experience building and deploying production applications
- Excellent Python development skills (TypeScript experience also beneficial)
- Commercial experience building and deploying LLM-powered applications in production
- Experience with agentic workflows, AI copilots, RAG systems, and tool‑calling architectures
- Hands‑on experience with frameworks such as MCP, LangChain, LangGraph, Pydantic AI, or similar orchestration tools
- Experience integrating LLMs via APIs from providers such as OpenAI and Anthropic
- Knowledge of LLM observability, evaluation, tracing, and monitoring tools (Langfuse or similar)
- Strong stakeholder engagement skills and the ability to work directly with business users to translate requirements into software solutions
What’s on Offer
- 12‑month initial contract with strong extension potential
- Opportunity to shape AI adoption within a leading investment organization
- Work across both AI platform engineering and high‑impact business‑facing AI initiatives
- Exposure to cutting‑edge AI technologies including agentic systems, enterprise LLM infrastructure, and governed AI platforms
- Hybrid working with flexibility around office attendance
If you're a strong software engineer with experience delivering production AI applications and enjoy working directly with stakeholders to solve complex business problems, I'd be keen to speak with you.
AI Forward Deployed Engineer - Contract - London - Inside IR35 employer: Oliver Bernard
Join a leading private markets investment firm in London that is at the forefront of enterprise AI innovation. As an AI Forward Deployed Engineer, you'll benefit from a dynamic work culture that encourages collaboration and creativity, while also enjoying opportunities for professional growth through exposure to cutting-edge technologies and high-impact projects. With a flexible hybrid working model and a focus on shaping AI adoption, this role offers a meaningful and rewarding career path in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Forward Deployed Engineer - Contract - London - Inside IR35
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We think you need these skills to ace AI Forward Deployed Engineer - Contract - London - Inside IR35
Some tips for your application 🫡
Showcase Your GitHub Projects:When applying for a freelance software engineering gig at Oliver Bernard, make sure to include your GitHub link in your application. Highlighting your code repositories, contributions to Open Source, and any personal projects can really set you apart and give us insight into your skills and coding style.
Tailor Your CV with Relevant Skills:In software development, the specifics matter! Make sure your CV lists the programming languages and technologies you excel at. Focus on the ones that align with the projects Oliver Bernard is working on. Listing your tech stack clearly will help us understand how you fit into our team.
Include a Portfolio of Your Work:A solid portfolio is a must when applying for freelance roles. Include links to any apps, websites, or software you've developed. Highlight any projects that reflect a strong user experience, efficiency, or innovative solutions—this is your chance to shine and show us what you can bring to the table!
Mention Your Availability and Rates:Since this is a freelance role, we want to know when you’re available and what your rates are like! Be upfront about your typical work hours and project timelines. This transparency will help us see if we can sync up for future projects at Oliver Bernard.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Code Wizardry
Since you're going for a freelance role in software engineering, have a solid portfolio ready to flaunt your best work. Include projects that highlight your coding skills, frameworks you excel in, and any problem-solving feats you've pulled off. This is your chance to shine, so choose pieces that reflect your unique style and expertise!
✨Prepare for Technical Challenges
Freelance gigs often involve tech assessments or coding challenges, so be ready to tackle some hands-on problems. Brush up on common algorithms, data structures, and any languages/frameworks relevant to the role at Oliver Bernard. Being comfortable with platforms like HackerRank or LeetCode can give you an edge and showcase your skills under pressure!
✨Be Clear About Your Rates and Flexibility
As a freelancer, be prepared to discuss your rates upfront. It's crucial to communicate your pricing structure clearly and whether you're open to negotiation. Do your homework on industry standards to ensure you pitch a fair and competitive rate that reflects your skills and experience!
✨Understand Their Tech Stack
Before the interview, get familiar with the tools and technologies used at Oliver Bernard. Whether it's a particular framework or a specific coding methodology, being knowledgeable about their tech stack not only shows your interest but also helps you present how you could fit seamlessly into their existing projects. Demonstrating you’ve done your homework can set you apart from other candidates!
