At a Glance
- Tasks: Lead technical pre-sales, deploy AI solutions, and build prototypes for enterprise clients.
- Company: Innovative AI infrastructure company transforming pharma and financial services.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Join a team that values innovation and offers excellent career advancement opportunities.
- Why this job: Make a real impact by bridging AI technology and client needs in dynamic industries.
- Qualifications: Experience in pharma or finance, Python coding skills, and strong communication abilities.
The predicted salary is between 60000 - 75000 £ per year.
About the company
We build AI infrastructure for enterprises — specifically, a platform that takes complex, heterogeneous data and auto-generates knowledge graphs from it. Those graphs power LLM agents that automate workflows previously requiring skilled human judgement. Our two core verticals are pharma and financial services. We sell outcomes: compliance teams getting ahead of regulatory change, advisors spending less time on manual research.
The role
This role bridges pre-sales, client deployment, and product engineering. You will work directly with enterprise clients — scoping and pitching solutions, deploying our platform on live data, building prototypes, and feeding what you learn back into the product. The product is early-stage and you will be working at codebase level. You need to be able to hold a room with a CTO and write Python on the same day.
What you'll do
• Lead technical pre-sales — discovery sessions, solution architecture, and pitching to senior client stakeholders.
• Configure and deploy the platform at client sites across pharma and financial services.
• Inspect auto-generated knowledge graphs for correctness and identify which workflows are worth automating.
• Build working prototypes on real client data — live, explainable, specific enough to hand off. • Enable implementation partners and manage the technical handoff to production.
• Work directly with the product and engineering team to translate field learnings into new functionality.
What we're looking for
• Experience in pharma, financial services, or both — you know what's worth automating and why.
• Comfortable working directly with a Python codebase — building, debugging, and extending features.
• Graph literacy — Neo4j, SPARQL, or equivalent. Can inspect a knowledge graph and judge its fitness.
• Agent fluency — has built LLM agents in production. Knows what goes wrong.
• Strong communicator — can translate complex technical concepts to non-technical senior stakeholders.
• Pre-sales experience — comfortable leading discovery, scoping engagements, and presenting solutions.
• Integration thinking — can map a client's data environment to the connectors needed.
Nice to have
• GraphRAG, multi-hop reasoning, or graph quality assessment experience. • Prior FDE or technical consulting background.
• Regulatory data fluency — MiFID II, MLR, ACPR.
• Experience enabling SI or implementation partners.
• Streamlit or similar rapid prototyping tools.
Why this role
Most enterprise AI deployments stall between the model and the workflow. This role exists to close that gap across pharma and financial services — with a product built specifically for it. You will have direct input into how the product evolves, work on real client problems, and own outcomes you can point to.
Remote engineer in London employer: ENAIBLE TALENT
As an early-stage company at the forefront of agentic AI and knowledge graph infrastructure, we offer a dynamic work environment where innovation thrives. Our culture fosters collaboration and hands-on involvement, allowing you to directly influence product development while working alongside talented engineers. With a focus on regulated industries, we provide unique opportunities for professional growth and the chance to shape cutting-edge solutions that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Remote engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ENAIBLE TALENT or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ENAIBLE TALENT.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ENAIBLE TALENT.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ENAIBLE TALENT that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Remote engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ENAIBLE TALENT.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ENAIBLE TALENT and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ENAIBLE TALENT
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ENAIBLE TALENT uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
