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Senior Backend Engineer

We're a team of machine learning engineers training task-specific generative models for psychology. Our goal is to build an AI therapist to help people change their mind and their lives in the ways that they want to. We partner with organizations around the globe and power use cases, including AI-assisted crisis text response, while securing best-in-class datasets to power our models.

Success to us means every human being in need of support having somewhere to go. We're a well-funded, seed-stage startup backed by top-tier tech investors involved in Huggingface, ElevenLabs, Replit, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and others

We're building a powerful team by empowering our engineers with the autonomy, flexibility, and resources to do their best work. We dream big and iterate fast. If that sounds like home, we'd love to hear from you.

The Role

This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Senior Backend Engineer, you will play a critical role in building the systems and services that make the Ash product possible. You will work closely with our software and ML teams to implement new features on the platform, ranging from UX improvements to bespoke ML model integration and orchestration work. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about keeping our systems scalable, performant, and secure.

Your day to day responsibilities will be varied, one day collaborating on a new piece of functionality in the app, the next day working closely with our ML team to improve the scalability of our model deployments. Once you’re embedded in the team, you will get the opportunity to lead projects of your own, with goals to make our products better, faster, and more reliable.

Our tech stack uses Kotlin for core backend services, Python for our ML work, Dart/Flutter for our apps, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You’re not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require.

About You

  • You have solid experience working with backend service development in a fast paced environment, ideally using Kotlin or Java. You’ve likely used a few other languages too in your work, and can work full stack when needed.

  • You have a good foundational understanding of big picture software development, including scaling, observability, data security, etc. You’ve likely been involved in setting up CI, deployments, and hosting solutions from scratch at some point in your career. 

  • You are a self starter and a keen learner, able to pick up new tools, languages, and concepts on the job. We don’t need you to be an ML engineer, but having an interest in AI helps!

  • You are a team player. You own your own work but care about outcomes above all. You enjoy solving hard problems, especially when solving really them matters.

  • You can ship fast. We work at lightning speed.


Requirements:

  • 7+ years of software development experience, with emphasis on application backend services

  • Experience working within the JVM ecosystem (Java, Kotlin, or Scala).

  • Experience working in a fast-paced, <100 person startup environment

  • Based in London or New York - we’re operating on a hybrid basis but love spending time together in person

Why you should take this job:

  • You want to build things that matter. You love seeing your creations come to life and get used, whether that’s a small prototype demonstrator or foundations behind the scenes.

  • You want first hand experience of AI and Machine Learning in practice. You’ll be part of a team that pushes the frontiers of how modern AI can be employed to make a difference.

  • You want direct exposure and mentoring from a founding team with a successful exit and track record (Neil scaled Casper through IPO)

  • You care about our mission, and are willing to do what it takes to make it happen

Why you shouldn’t take this job:

  • You would rather be told exactly what to do than to act as an owner

  • You see yourself as “fully formed” and would rather not have to learn new things on the job

What We Offer

  • Competitive compensation (90th percentile)

  • Hybrid environment, highly collaborative, fast-paced culture

  • Work with a crazy passionate team that cares deeply about the impact of our work on mental health, especially in a post-AGI world

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What You Should Know About Senior Backend Engineer, Slingshot AI

Welcome to the future of mental health technology at Ash, where we are on a mission to revolutionize access to psychological support through AI. As a Senior Backend Engineer at our London-based team, you will be instrumental in developing the systems and services that bring our innovative platform to life. Imagine collaborating with talented machine learning engineers to integrate bespoke models and enhance user experiences! Your role will be dynamic—one day you’ll be fine-tuning a feature, and the next, you’ll be optimizing the scalability of our AI deployments. Here, we value passion and ownership; you won't just be another cog in the machine. Your expertise in backend services, particularly with Kotlin or Java, paired with an eagerness to learn, will be critical as we navigate the exciting world of AI therapy tools. Whether you’re brainstorming exciting new functionalities or ensuring our infrastructure is robust and secure, you’ll be working on impactful projects that genuinely change lives. Join us, and you will be part of a talented team backed by premier investors, all dedicated to harnessing AI for meaningful transformations in mental health. Looking for a place where your ideas matter, and ambition is celebrated? Ash is the right fit for you. Let’s build something incredible together!

Frequently Asked Questions (FAQs) for Senior Backend Engineer Role at Slingshot AI
What are the primary responsibilities of a Senior Backend Engineer at Ash?

As a Senior Backend Engineer at Ash, your key responsibilities involve developing and maintaining robust backend services that support our mental health AI platform. You will collaborate closely with software and machine learning teams to implement new features, enhance system performance, and ensure data security. Your day-to-day could range from coding new app functionalities to leading projects aimed at improving our overall product reliability. Your experience in backend development, particularly using Kotlin and Java, will play a vital role in the collaborative and fast-paced environment that Ash fosters.

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What qualifications are required to become a Senior Backend Engineer at Ash?

To qualify for the Senior Backend Engineer position at Ash, candidates should ideally have 7+ years of software development experience, particularly in backend services. Proficiency in Kotlin or Java within the JVM ecosystem is essential. Experience in a fast-paced startup environment is a plus, along with a good foundational understanding of software development principles like scalability and observability. We also value those who show a willingness to learn new tools and concepts, as well as an interest in AI technologies to complement our mission.

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What technologies should a Senior Backend Engineer at Ash be familiar with?

At Ash, a Senior Backend Engineer should familiarize themselves with Kotlin for core backend services, Python for machine learning tasks, and knowledge of gRPC and GCP (Google Cloud Platform) for cloud services like Kubernetes and Cloud Run. While you do not need to be an expert in all these technologies, a hands-on approach and willingness to learn will help you thrive in this dynamic role. In addition, experience with data security practices and setting up CI/CD pipelines will enhance your contributions to our projects.

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How does Ash support professional growth for Senior Backend Engineers?

At Ash, we prioritize your professional growth by empowering you to take ownership of your projects and offering direct exposure to innovative AI applications in mental health. You'll work alongside seasoned founders and team members who provide mentorship and guidance as you navigate your role. We encourage autonomy and support continuous learning, ensuring you have the resources and flexibility to expand your skill set in a fast-paced startup environment. Our collaborative culture fosters innovation, making it an exciting place to develop your career.

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What is the culture like at Ash for a Senior Backend Engineer?

The culture at Ash is vibrant, collaborative, and driven by a unified mission to leverage AI technology for improving mental health access. As a Senior Backend Engineer, you'll be valued for your contributions and encouraged to share your ideas. We promote a hybrid work environment that combines flexibility with in-person collaboration, ensuring team members can connect and share their passion for creating impactful solutions. Expect a work atmosphere where creativity flourishes, and you are empowered to take on challenges that lead to meaningful outcomes.

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Common Interview Questions for Senior Backend Engineer
What experience do you have with backend development using Kotlin at Ash?

Highlight specific projects where you developed backend services using Kotlin. Discuss the complexities of the projects, focusing on how you implemented features, maintained system scalability, and ensured security. Be ready to explain your coding decisions and the outcomes, showcasing your problem-solving skills and adaptability, which are crucial for a Senior Backend Engineer at Ash.

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Can you describe a time when you had to optimize a backend system's performance?

Share a detailed example where you identified performance bottlenecks in a backend system, your approach to optimizing those issues, and the tools you used. Discuss the metrics you monitored and the impact of your optimizations. This demonstrates your analytical skills and emphasizes your understanding of performance scaling, a key aspect of the role at Ash.

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How do you prioritize security in your development process?

Explain your methodology for incorporating security best practices into development. You could mention secure coding standards, regular audits, and using tools to identify vulnerabilities. Highlight any frameworks or security models you've implemented in previous roles, emphasizing how these practices would align with Ash's commitment to data security.

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What strategies do you use to stay updated with new technologies in backend development?

Discuss your approach to continuous learning in technology. This could include participating in workshops, following industry blogs, engaging with online coding communities, or taking online courses. Tie your response back to how a proactive learning attitude aligns with Ash’s dynamic environment and mission.

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Describe your experience working in a fast-paced startup environment.

Reflect on your past roles in startups, focusing on how you adapted to rapid changes and contributed to team dynamics. Mention specific examples where your fast decision-making and ability to collaborate effectively made a significant impact on project timelines and outcomes, demonstrating your fit within Ash’s culture.

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How have you handled disagreements within your development team?

Share a specific situation where you encountered a disagreement with a team member regarding technical decisions. Discuss how you approached the conversation, shared perspectives, and ultimately reached a resolution. This shows your ability to maintain collaborative relationships and emphasizes the importance of teamwork at Ash.

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What role do you think a Senior Backend Engineer plays in agile development?

Articulate the multifaceted role of a Senior Backend Engineer in agile settings, such as leading feature discussions, mentoring junior developers, and continuously iterating on feedback. Emphasize how this aligns with Ash’s rapid development cycle and your adaptability in contributing to agile principles.

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What do you find most challenging about working with machine learning integrations?

Identify specific challenges you've faced when integrating machine learning models into backend services, such as latency, data handling, or model performance. Discuss the solutions you devised and how you collaborated with data scientists, relating it to the collaborative environment at Ash.

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How do you ensure quality in your code?

Discuss methods you employ for maintaining code quality, such as code reviews, unit testing, continuous integration, and adherence to coding standards. Link your practices to Ash’s goals of reliability and performance, showcasing your commitment to delivering quality products.

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Can you give an example of a successful project you led as a backend engineer?

Detail a project where you played a pivotal role in its success, outlining your leadership responsibilities, the technologies employed, and the impact on the team or product. This illustrates your ability to lead projects effectively in a startup environment like Ash.

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DATE POSTED
March 22, 2025

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