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For Companies At a Glance
- Tasks: Build AI agents to investigate production alerts and enhance data pipelines.
- Company: Join a pioneering tech startup focused on innovative AI solutions.
- Benefits: Competitive salary, equity options, and visa sponsorship available.
- Why this job: Tackle engineering challenges and make a real impact in a dynamic team.
- Qualifications: 5+ years of software engineering experience with strong backend skills.
- Other info: Opportunity for rapid career growth in a collaborative environment.
The predicted salary is between 80000 - 125000 ÂŁ per year.
Do you get excited by tackling engineering challenges that others deem impossible? Do you want to build AI agents that investigate alerts in production workflows? Do you like working in a team with only the absolute best of the best? If your answers are yes, then you should keep reading.
Tracer is building agentic alert investigation for production data pipelines. Teams already have alerts. Tracer investigates pipeline incidents before they page your team, filtering noise, correlating evidence across your stack, and producing an evidence-based RCA for the issues that actually matter. We’re hiring a Founding Lead Engineer in London to own core architecture and ship an agent that produces grounded RCAs (and fix suggestions) for a set of high-value alerts. Humans stay in control of production decisions.
Tech Stack
- Python + Langraph (for multi-agentic alert investigation)
- Rust (because we like systems that are fast and correct)
- ClickHouse (high-volume event + investigation history at scale)
- AWS + Terraform (infrastructure that builds itself)
- Next.js + TypeScript (because front-end should be sexy too)
Key Responsibilities
- Architect and build the core alert, investigation, root cause analysis (RCA) pipeline in Python
- Design and implement key systems including:
- Alert ingestion + normalization
- Context enrichment + correlation
- Problem framing outputs
- Hypothesis orchestration engine
- Investigation execution runtime
- Investigation artifacts + reporting
What We Are Looking For
- 5+ years (ideally 10+) professional software engineering experience.
- Proven track record of shipping real products at high velocity.
- Strong backend and distributed‑systems foundations, ideally with experience in data platforms and production pipeline stacks and incident/observability tooling.
- Experience working at an early‑stage startup and bonus points for having joined earlier.
- High ownership and sharp product instincts: you build what matters and cut what doesn’t.
Compensation
- Salary: ÂŁ80,000 - ÂŁ125,000
- Equity: Determined on a case by case basis depending on skill and experience level (0.3%-1%)
- Visa sponsorship: Yes
- Location: London
Recruitment Process
- Introductory Call (15-30 mins): Call with our hiring manager to discuss your background, motivations, and learn more about Tracer
- Role Fit Interview (45 mins): Meet with your manager or a similar‑level team member to review your working style, skills, and fit for the role
- Take‑home & Competency Deep Dive (1 hour): Complete a practical exercise (e.g., case study, presentation, or technical problem‑solving) to explore the role's responsibilities and expectations
- On‑site meetup (Half Day): On‑site interviews and team lunch at our headquarters to ask any questions and experience our office and culture firsthand
- Offer: Final decision and offer
Founding AI Engineer (Staff) in City of London employer: Tracer Cloud Inc
Contact Detail:
Tracer Cloud Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer (Staff) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews! Research the company and its tech stack. We want you to be able to discuss how your experience with Python, Rust, or any other relevant tech can help tackle their engineering challenges.
✨Tip Number 3
Show off your projects! If you've built something cool, whether it's a personal project or a contribution to an open-source one, bring it up during interviews. We love seeing practical applications of your skills!
✨Tip Number 4
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 on big challenges.
We think you need these skills to ace Founding AI Engineer (Staff) in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your excitement for tackling engineering challenges shine through. We want to see how you approach problems and what makes you tick in the world of AI. Share specific examples that highlight your passion and experience!
Tailor Your Application: Make sure to customise your application to fit the role of Founding AI Engineer. Highlight your experience with Python, Rust, and any relevant tech stacks mentioned in the job description. We love seeing how your skills align with our needs!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what matters most. Use bullet points if it helps convey your experience and achievements more effectively.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Tracer Cloud Inc
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python, Rust, and AWS. Be ready to discuss your experience with these tools and how you've used them to solve complex problems in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of engineering challenges you've tackled that others found daunting. Highlight your thought process and the steps you took to arrive at a solution, especially in high-pressure situations.
✨Understand the Company’s Mission
Research Tracer's goals and how they aim to improve alert investigation in production workflows. Be prepared to discuss how your skills align with their mission and how you can contribute to their success.
✨Prepare for Practical Exercises
Since there's a take-home exercise involved, practice similar technical problems beforehand. Focus on demonstrating your ability to design systems and provide clear, evidence-based RCA outputs, as this will be crucial for the role.
