At a Glance
- Tasks: Build and refine AI workflows to revolutionise drug discovery for rare diseases.
- Company: Innovative AI company focused on transforming healthcare through technology.
- Benefits: Competitive salary, equity options, remote work, and opportunities for professional growth.
- Other info: Dynamic role with potential for ownership and influence in a cutting-edge field.
- Why this job: Join a mission-driven team making a real impact in the fight against rare diseases.
- Qualifications: Experience with LLM systems, strong Python skills, and a passion for collaboration.
The predicted salary is between 81000 - 90000 £ per year.
We are working with an AI company applying artificial intelligence to drug discovery, with a focus on rare diseases that currently have no approved treatment. The company combines proprietary data, AI and deep scientific expertise to identify promising treatments faster and more cheaply than traditional drug discovery approaches.
This is not a green-field build. There is an existing agentic framework and set of workflows already delivering impact across the platform, and you will work alongside the engineer who owns that infrastructure, with scope to take ownership of specific workflows and grow your influence over time.
Key responsibilities include:
- Building and refining agentic workflows that help scientists generate the best testable hypotheses to progress.
- Translating discovery problems into agent designs, and being clear-eyed about where an agentic approach adds value and where it does not.
- Integrating agents with internal knowledge sources so they reason over the right evidence for each problem.
- Expanding and maintaining existing GenAI tooling as the team's needs and the wider ecosystem evolve.
What we are looking for:
- You have shipped LLM-agentic systems that deliver real value in production, not just prototypes, with tools, multi-step orchestration and reliable behaviour.
- You have at least two years of software engineering or ML engineering experience, with strong fundamentals and clean, tested, maintainable Python.
- You are fluent in the modern LLM and agent toolkit, including model APIs, prompting, tool use, RAG, MCP, agent frameworks and evals.
- You enjoy working closely with non-engineers and are comfortable sitting with a scientist to understand what they actually need.
- Experience in drug discovery, biology or another life science domain is a bonus, as is familiarity with knowledge graphs, experience building evaluation harnesses for LLM systems, or a track record of picking up unfamiliar domains quickly.
Locations
AI Engineer - AI Drug Discovery Company in Cheshire, Warrington employer: Few&Far
Join a pioneering AI and robotics startup in London as a Founding Engineer, where you'll have the unique opportunity to shape cutting-edge technology from the ground up. With a strong emphasis on collaboration and innovation, this role offers genuine ownership and the chance to work alongside an exceptional founding team, backed by world-class investors. The vibrant work culture fosters personal growth and encourages tackling complex engineering challenges, making it an ideal environment for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - AI Drug Discovery Company in Cheshire, Warrington
✨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 Few&Far 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 Few&Far.
✨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 Few&Far.
✨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 Few&Far 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 AI Engineer - AI Drug Discovery Company in Cheshire, Warrington
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 Few&Far.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Few&Far 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 Few&Far
✨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 Few&Far 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.
