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- 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: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 68000 - 100000 Ā£ 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 are 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 distributedāsystems foundations, ideally with experience in data platforms and production pipeline stacks and incident/observability tooling.
- Experience working at an earlyāstage startup and bonus points for having joined earlier.
- High ownership and sharp product instincts: you build what matters and cut what doesnāt.
Compensation
- Salary: Ā£80,000 - Ā£125,000
- 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 similarālevel team member to review your working style, skills, and fit for the role
- Takeāhome & Competency Deep Dive (1 hour): Complete a practical exercise (e.g., case study, presentation, or technical problemāsolving) to explore the role's responsibilities and expectations
- Onāsite meetup (Half Day): Onāsite 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 London employer: Tracer Cloud Inc
Contact Detail:
Tracer Cloud Inc Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Founding AI Engineer (Staff) in London
āØTip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes itās not just what you know, but who you know that can get you in the door.
āØTip Number 2
Prepare for those interviews! Research the company and its tech stack. We want you to be able to chat about how your skills in Python or Rust can help tackle their engineering challenges.
āØTip Number 3
Show off your projects! If youāve built something cool, bring it up during interviews. We love seeing real-world applications of your skills, especially if they relate to alert investigation or data pipelines.
āØTip Number 4
Apply through our website! Itās the best way to ensure your application gets seen by the right people. Plus, weāre always on the lookout for passionate candidates who are ready to make an impact.
We think you need these skills to ace Founding AI Engineer (Staff) in London
Some tips for your application š«”
Show Your Passion: When writing your application, let your enthusiasm for tackling engineering challenges shine through. We want to see that youāre excited about building AI agents and solving complex problems, so donāt hold back!
Tailor Your Experience: Make sure to highlight your relevant experience in software engineering, especially with Python, Rust, and distributed systems. Weāre looking for someone who has a proven track record of shipping products, so be specific about your achievements.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your skills and experiences. Avoid fluff and focus on what makes you a great fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, it shows youāre serious about joining our team!
How to prepare for a job interview at Tracer Cloud Inc
āØKnow Your Tech Stack
Familiarise yourself with the tech stack mentioned in the job description, especially Python, Rust, and AWS. Be ready to discuss your experience with these technologies and how you've used them in past projects. This shows youāre not just a fit for the role but also genuinely interested in their work.
āØShowcase Your Problem-Solving Skills
Prepare to discuss specific engineering challenges you've tackled in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. Highlight how you approached complex problems, particularly in production environments, as this aligns with their focus on alert investigation.
āØDemonstrate Ownership and Initiative
Theyāre looking for someone with high ownership and product instincts. Share examples of when you took the lead on a project or made decisions that significantly impacted the outcome. This will help convey that you can drive core architecture decisions and deliver results.
āØEngage with Their Vision
Research Tracerās mission and values, and be prepared to discuss how your goals align with theirs. Ask insightful questions about their approach to building AI agents and how you can contribute to their vision. This shows youāre not just looking for any job, but are genuinely excited about what they do.
