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- Tasks: Lead the development of AI systems and transform production alerts into actionable insights.
- Company: Innovative tech startup in London focused on cutting-edge AI solutions.
- Benefits: Attractive salary, equity options, health insurance, and flexible work arrangements.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 5+ years of software engineering experience and strong Python skills.
- Other info: Collaborate closely with founders in a fast-paced, growth-oriented environment.
The predicted salary is between 43200 - 72000 £ per year.
A tech startup focused on AI systems in London is seeking a Lead AI Software Engineer to own and build the core systems that transform production alerts into actionable insights. The role includes architecting critical pipelines in Python and collaborating closely with founders.
Candidates should have over 5 years of experience and a strong track record in software engineering.
Attractive compensation package, including salary and equity, with benefits such as health insurance and flexible work arrangements.
Lead AI Engineer for Production Pipelines & RCA (Equity) 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 Lead AI Engineer for Production Pipelines & RCA (Equity) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at startups. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving production pipelines and actionable insights. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and system architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead AI Engineer for Production Pipelines & RCA (Equity) in City of London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in software engineering. We want to see how you've tackled challenges and built systems in the past, especially if they relate to AI or production pipelines.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to our job description. Mention specific projects or technologies that align with what we’re looking for, like Python and AI systems.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your skills and experiences without wading through fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Tracer Cloud Inc
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific AI systems relevant to the role. Brush up on your knowledge of production pipelines and be ready to discuss how you've built or improved them in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with founders, prepare examples of how you've successfully collaborated with cross-functional teams. Highlight any experiences where your input led to significant improvements or innovations.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice coding problems related to AI and production systems, and be ready to explain your thought process clearly as you solve them.
✨Understand the Company’s Vision
Research the startup's mission and recent projects. Be prepared to discuss how your skills and experience align with their goals, and think about how you can contribute to transforming production alerts into actionable insights.
