At a Glance
- Tasks: Build AI agents that streamline revenue team tasks and tackle messy GTM data.
- Company: Join a pioneering tech company focused on innovative AI solutions.
- Benefits: Enjoy 25 days holiday, competitive salary, and remote work flexibility.
- Other info: Dynamic role with opportunities to lead and shape team culture.
- Why this job: Be the first engineer shaping AI technology that makes a real impact.
- Qualifications: 5+ years in backend development with a focus on data-heavy systems.
The predicted salary is between 60000 - 80000 £ per year.
We're building AI agents for GTM — agents that do the work of a revenue team end-to-end: researching accounts, drafting outreach, updating the CRM, triaging inbound, prepping calls, following up. GTM data is the messiest data in the enterprise. It lives across 10+ systems, it's stale, it's permissioned, and full of half-truths people typed into Salesforce on a Friday afternoon. Building agents on top of this without hallucinating and actually getting the job done at scale is the real engineering problem. You'd be the first engineer.
The hard part isn't the agent loop — it's the data and context layer underneath: pulling from Salesforce, HubSpot, Gong, Slack, Notion, Drive and a long tail of broken APIs, then turning that mess into the precise, fresh, permission-aware context an agent needs to take a real action. Most of your hardest engineering time will be on the data side: ingestion, modelling, freshness, retrieval quality, evals, latency, permissions.
Own the data and context pipeline end-to-end: connectors, ingestion, schema modelling, chunking, embedding, indexing, hybrid search, reranking, serving. Own the agent runtime on top: tool use, planning, multi-step execution, error recovery. Build the eval harness before shipping anything new. We don't ship on vibes.
By month six you'll have hired the second engineer and shaped the team's culture around data quality, evals, latency, and product taste.
- 5+ years of production backend experience, with meaningful time on data-heavy systems — retrieval, search, recsys, streaming pipelines, or ML infra with real users and real SLAs.
- You think data first. Bad data in, bad agents out, and you've felt that pain.
- Shipped a non-trivial RAG, semantic search, or agent system end to end. Strong opinions on hybrid retrieval. You know when BM25 beats embeddings, when SQL beats both, and you've made those calls in production.
- (Nice to have) Python or Go fluency. Multi-tenant systems with row- or document-level access control. Messy GTM stack integrations — Salesforce, HubSpot, Gong, Outreach, Apollo — and the scars to show for it.
- Data governance or security overlap: lineage, audit trails, PII handling, prompt injection defence.
Founders call (60 min, remote). Walk us through a data-heavy system you've built. 25 days holiday + UK bank holidays.
Tech / AI Specialist employer: Stealth AI Company
As a Tech / AI Specialist at our innovative company, you'll be at the forefront of transforming messy GTM data into actionable insights, all while enjoying a collaborative work culture that prioritises data quality and employee growth. With 25 days of holiday plus UK bank holidays, we offer a supportive environment where you can thrive, develop your skills, and shape the future of AI agents alongside a passionate team. Join us in a location that fosters creativity and innovation, making it an exceptional place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Tech / AI Specialist
✨Tip Number 1
Network like a pro! Reach out to folks 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 land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data-heavy systems. We want to see what you've built and how you tackle engineering challenges — it’s a great way to stand out!
✨Tip Number 3
Prepare for the interview by diving deep into our tech stack and understanding the challenges we face with messy GTM data. We love candidates who come in with insights and ideas on how to improve our data pipelines and agent systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who are ready to take ownership of their work and make an impact.
We think you need these skills to ace Tech / AI Specialist
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Tech / AI Specialist role. Highlight your experience with data-heavy systems and any relevant projects you've worked on. We want to see how your skills align with our mission of building effective AI agents!
Showcase Your Data Skills:Since this role is all about handling messy data, don’t shy away from sharing specific examples of how you've tackled data challenges in the past. Whether it’s ingestion, modelling, or retrieval quality, we’re keen to see your problem-solving prowess!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity over fluff! Make sure your passion for data and AI shines through without unnecessary jargon.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Stealth AI Company
✨Know Your Data Inside Out
Since the role revolves around messy GTM data, make sure you can discuss your experience with data-heavy systems in detail. Be ready to explain how you've handled data ingestion, modelling, and retrieval quality in past projects. This will show that you truly understand the challenges and nuances of working with complex data.
✨Showcase Your Engineering Mindset
Prepare to talk about specific engineering problems you've solved, especially those related to hybrid retrieval or building agent systems. Highlight your decision-making process when it comes to choosing between different technologies like BM25 or embeddings. This will demonstrate your technical depth and ability to make informed choices.
✨Emphasise Team Culture and Leadership
As the first engineer, you'll be shaping the team's culture. Share examples of how you've fostered a strong data quality mindset in previous roles. Discuss your approach to mentoring and hiring, as this will show that you're not just a tech whiz but also a team player who values collaboration.
✨Prepare for the Founders Call
This is your chance to shine! Walk them through a data-heavy system you've built, focusing on the end-to-end process. Be clear about your role, the challenges faced, and how you overcame them. This narrative will help them see your problem-solving skills and your fit for the role.
