At a Glance
- Tasks: Lead technical delivery and design AI-driven workflows for clients.
- Company: Exciting Series A AI startup transforming scientific data into knowledge graphs.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on collaboration and cutting-edge technology.
- Why this job: Make a real impact in drug discovery while collaborating with innovative teams.
- Qualifications: Experience in engineering and strong problem-solving skills required.
The predicted salary is between 60000 - 80000 € per year.
The Company
They are a Series A funded AI startup building a platform that brings together vast, fragmented scientific data into an interactive knowledge graph. Their technology maps cause and effect relationships between diseases, proteins and drugs to accelerate drug discovery and research. With strong commercial traction and a growing client base across pharma, biotech and research organisations, they are scaling a small, highly collaborative team across engineering and solutions.
The Role
As a Forward Deployed Engineer, you will work directly with end clients to take the platform from trial through to production deployment, acting as a technical partner throughout the journey. You will balance hands on engineering with customer facing problem solving, translating complex requirements into robust, scalable solutions.
Key responsibilities include:
- Leading technical delivery for customer integrations, from scoping through to production rollout
- Working closely with end users ranging from highly technical teams to more non-technical stakeholders
- Designing and building AI driven workflows, including LLM and retrieval augmented generation use cases
- Integrating knowledge graph data into customer environments using APIs
Forward Deployed AI Engineer employer: Harnham - Data & Analytics Recruitment
As a forward-thinking AI startup based in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from flexible working arrangements, opportunities for professional development, and the chance to make a tangible impact in the field of drug discovery. Join us to be part of a passionate team dedicated to transforming scientific data into actionable insights, all while enjoying the vibrant atmosphere of one of the world's leading tech hubs.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to AI and knowledge graphs. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 3
Showcase your skills through projects! Build a portfolio that highlights your experience with AI-driven workflows and integrations. We love seeing real-world applications of your work, so don’t be shy about sharing your projects on GitHub or your personal website.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to join our collaborative team.
We think you need these skills to ace Forward Deployed AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Forward Deployed AI Engineer role. Highlight any relevant projects or technologies you've worked with, especially those related to AI and knowledge graphs.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be sure to mention specific examples of how you've tackled similar challenges in the past.
Showcase Your Problem-Solving Skills:In your application, give us a glimpse of your problem-solving abilities. Share instances where you've successfully navigated complex technical issues or collaborated with diverse teams to deliver solutions.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your progress throughout the hiring process.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around AI, knowledge graphs, and APIs. Brush up on your understanding of LLMs and retrieval augmented generation, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems, especially in customer-facing roles. Think about how you translated technical requirements into solutions and be ready to explain your thought process clearly.
✨Understand the Company’s Mission
Research the startup's goals and the impact of their technology on drug discovery. Being able to articulate how your skills align with their mission will show your genuine interest and help you stand out as a candidate.
✨Practice Your Communication Skills
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between different teams and ensure everyone is on the same page.
