At a Glance
- Tasks: Design and deploy AI systems for Fortune 500 companies, solving real business problems.
- Company: Join a leading tech company shaping the future of AI with top-tier investors.
- Benefits: Earn £170k–£220k, enjoy full remote work, and take ownership of impactful projects.
- Other info: No CV needed to apply; just click 'Easy Apply' and get started!
- Why this job: Be at the forefront of AI deployment and make a tangible difference in businesses.
- Qualifications: Strong Python skills, customer-facing experience, and knowledge of AI technologies required.
The predicted salary is between 170000 - 220000 £ per year.
Fully remote. A front-row seat at the company defining how the world's biggest enterprises actually use AI. You'd be walking into Fortune 500 companies and turning frontier technology into systems they run their business on. This is the role for the engineer who's tired of watching great work die in pilots that never ship.
What's in it for you: £170k–£220k, base plus OTE. Real ownership. You own outcomes end to end, not tickets. You see the number move. The rooms that matter. Embedded with Fortune 500 teams, advising senior stakeholders, shaping how they adopt AI. Ground floor of a category. A company backed by top-tier investors and recently named among the most important defining the agentic era. Early enough to shape it, proven enough to be real. You'll get sharper, fast. Closer to real production AI usage than almost anyone in the market.
Why this role exists: Intelligence is no longer the bottleneck. The models are good enough. What stops AI agents reaching production is everything around the model: the architecture, the deployment, the observability, and getting an organisation to trust the system enough to let it run. Closing that gap is the job.
What you'll do:
- Embed with customers. Learn their business and their stack.
- Design agentic systems that solve a real, expensive problem.
- Deploy, configure, and optimise those systems in production.
- Build custom agents, tools, and workflows in Python.
- Own it from first workshop to live system to measurable result.
- Feed what you learn back into the product.
How they work: Start narrow. Ship this week, not this quarter. Make failures loud and early. Add complexity only when the evidence demands it.
You'll need:
- Strong Python, with real API and systems-integration experience.
- A track record in a customer-facing technical role: solutions engineer, sales engineer, forward deployed, or technical consultant.
- Fluency with LLMs, AI agents, and modern GenAI patterns.
- The rare mix: you can hold a room of senior stakeholders and a terminal in the same afternoon.
- Bonus: RAG, database design, human-in-the-loop systems, or open-source contributions.
No need for an up-to-date CV just yet - just click 'Easy Apply' for now and the team can help you build the perfect CV for this role!
Forward Deployed Engineer employer: Tact
As a Forward Deployed Engineer at our innovative company, you'll enjoy the flexibility of fully remote work while being at the forefront of AI technology implementation within Fortune 500 companies. We foster a culture of real ownership and rapid iteration, allowing you to see the tangible impact of your work as you collaborate closely with senior stakeholders to shape the future of AI. With competitive compensation and opportunities for professional growth in a dynamic environment backed by top-tier investors, this is an exceptional opportunity for engineers eager to make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in how they operate.
✨Tip Number 2
Network like a pro! Reach out to current or former employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. It’s all about making connections!
✨Tip Number 3
Prepare for those interviews by practising common questions and scenarios related to the role. Think about how you can demonstrate your Python skills and customer-facing experience through real-life examples.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy, and our team is ready to help you craft the perfect CV once you get your foot in the door. Let’s make it happen together!
We think you need these skills to ace Forward Deployed Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and technology shine through. We want to see how you can turn complex ideas into real-world solutions, so share any relevant experiences that highlight your passion for the field.
Tailor Your Application:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to align their background with what we're looking for, especially in areas like Python and customer-facing roles.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your achievements and skills effectively. Remember, we want to understand how you can contribute to our team right away!
Use Our Easy Apply Feature:Don't stress about having a perfect CV just yet! Use our 'Easy Apply' option on the website, and we'll help you craft the ideal CV tailored for this role. It's a great way to get started without the pressure of a fully polished application.
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and have a solid grasp of API and systems integration. Brush up on your knowledge of LLMs and AI agents, as you'll need to demonstrate your technical prowess during the interview.
✨Understand the Business Context
Research the company and its clients, especially Fortune 500 companies. Be prepared to discuss how your skills can solve real business problems and improve their operations with AI. This shows you’re not just a techie but also understand the bigger picture.
✨Prepare for Stakeholder Engagement
Since you’ll be working closely with senior stakeholders, practice articulating complex technical concepts in simple terms. Think about how you can convey your ideas clearly and confidently, making it easy for non-technical audiences to understand.
✨Embrace a 'Fail Fast' Mindset
Familiarise yourself with the idea of shipping quickly and learning from failures. Be ready to discuss past experiences where you’ve iterated on projects based on feedback, showing that you can adapt and thrive in a fast-paced environment.
