At a Glance
- Tasks: Lead the development of a scalable public API platform and architect foundational AI systems.
- Company: Join a pioneering AI startup founded by the creator of Amazon Alexa.
- Benefits: Competitive salary, equity options, and the chance to work at the forefront of AI technology.
- Other info: Be part of a high-calibre team with excellent growth opportunities in a dynamic environment.
- Why this job: Make a real impact in AI by solving complex problems for top-tier financial institutions.
- Qualifications: Expertise in Python, AWS, and experience with high-availability systems required.
The predicted salary is between 130000 - 150000 £ per year.
Salary: £130k–£150k + Equity
Company: Neurosymbolic AI startup founded by the creator of Amazon Alexa's core technology, building reliable and explainable generative AI for tier-1 financial institutions.
As a Staff Software Engineer, you will lead the transition from bespoke enterprise deployments to a scalable public API platform. You will bridge the gap between LLMs and symbolic computing, architecting foundational systems that enable AI to reason with deterministic accuracy. This is a high-impact IC role shaping the technical trajectory of a mission-critical AI platform.
Location: London, UK
Why this role is remarkable:
- Work at the bleeding edge of AI by combining symbolic reasoning (decision trees and knowledge graphs) with LLMs to solve the hallucination problem for enterprise clients.
- Join a high-pedigree team founded by William Tunstall-Pedoe, whose previous company Evi was acquired by Amazon to become the foundational technology for Alexa.
- Play a pivotal role in a company with proven product-market fit at tier-1 banks and accountancy firms as they scale their technology into a global developer platform.
What You Will Do:
- Architect and implement the foundational public API platform, including critical decisions on authentication, versioning, and multi-tenant scalability.
- Design and optimize document ingestion pipelines that process complex regulatory data across multiple jurisdictions and formats like PDF and Word.
- Lead cross-cutting technical initiatives within a Python monorepo to improve engineering velocity, reliability, and observability across the entire organization.
The ideal candidate:
- Possesses deep expertise in Python with a focus on writing well-typed, production-grade code and managing complex project structures at scale.
- Demonstrates a proven track record of making foundational architectural decisions and designing complex algorithms for high-availability systems.
- Has significant experience with AWS infrastructure (S3, EKS, Terraform) and a passion for establishing rigorous engineering standards and mentor cultures.
Staff Software Engineer (£130k–£150k + Equity) at Alexa-founder's neurosymbolic AI startup in London employer: Jack & Jill
Join a pioneering neurosymbolic AI startup in London, founded by the visionary behind Amazon Alexa, where you will be at the forefront of developing reliable and explainable generative AI for top-tier financial institutions. Our collaborative work culture fosters innovation and growth, offering you the chance to lead impactful projects while benefiting from competitive compensation, equity options, and opportunities for professional development in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer (£130k–£150k + Equity) at Alexa-founder's neurosymbolic AI startup in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those connected to the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your Python expertise and architectural decisions, make sure to share it. It’s a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AWS and complex algorithms. Practice coding challenges that focus on scalability and reliability, as these are key for the role.
✨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 take that extra step!
We think you need these skills to ace Staff Software Engineer (£130k–£150k + Equity) at Alexa-founder's neurosymbolic AI startup in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Staff Software Engineer. Highlight your experience with Python, AWS, and any relevant projects that showcase your ability to architect scalable systems. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about working at a neurosymbolic AI startup and how your background makes you a perfect fit for this high-impact role. Let us know what drives you!
Showcase Your Projects:If you've worked on any projects that involve LLMs or symbolic reasoning, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements and contributions.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get the attention you deserve. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific technologies mentioned in the job description, like AWS and Terraform. Brush up on your knowledge of architectural decisions and algorithms, as you’ll likely be asked to discuss your past experiences and how they relate to the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex challenges in previous roles, especially those involving AI or scalable systems. Use specific examples that highlight your ability to bridge gaps between different technologies, like LLMs and symbolic computing.
✨Understand the Company’s Mission
Research the startup's vision and the significance of their work in the AI space. Be ready to articulate how your skills and experiences align with their goals, particularly in building reliable and explainable generative AI for financial institutions.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current projects, team dynamics, and how they envision the future of their public API platform. This shows you’re not just interested in the job, but also in contributing to their mission.
