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- Tasks: Build and run core backend services and data pipelines using Scala and Python.
- Company: Join Boam AI, a dynamic team transforming data into actionable intelligence.
- Benefits: Enjoy top-tier compensation, equity options, and high autonomy in your role.
- Why this job: Make a real impact on mission-critical systems used by leading enterprises.
- Qualifications: 3+ years in backend systems with experience in Scala or Python.
- Other info: Collaborate closely with founders and senior engineers in a no-politics environment.
The predicted salary is between 36000 - 60000 £ per year.
Grow your ownership by building and running core services. Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise.
As a Backend Engineer, you will help build core parts of our Scala + Python data and agent infrastructure. You will contribute to backend services and data pipelines, work closely with senior engineers on system design, and help scale the systems that keep our data fresh, our APIs fast, and our customers’ workflows moving. This is a role for someone who has solid experience in production systems and wants to grow into more ownership on a small, senior team.
What You’ll Do
- Help design and build resilient backend services and APIs
- Partner with senior engineers in designing systems and architectures for reliability and scale
- Develop data pipelines from ingestion to enrichment to delivery
- Build reliability and test coverage into the code itself – no separate QA layer
- Improve performance, scalability, and observability across our stack
- Work closely with data/ML to productize AI-powered agents end to end
- Participate in design reviews, pairing, and shared engineering best practices
- Optimize for real impact, customer outcomes, and fast iteration over theoretical perfection
- Use next-gen AI tools to improve code quality and velocity
You Might Be a Fit If...
- 3+ years building and operating production backend systems
- Experience with Scala, Python, or functional / JVM languages
- Familiarity with distributed systems, data modeling, and high-volume data flows
- Enjoy a mix of greenfield work and scaling existing systems
- Thrive without heavy process, QA buffers, or endless safeguards
- Have a bias to ship, measure, and refine rather than over-architect
- Are motivated by rapid iteration and tangible customer-facing impact
- Are excited to work where AI/ML is deeply embedded in the product, not bolted on
Why Boam AI
- Join a no-politics, high-trust, low-ego, and high-talent team
- Work on mission-critical systems used by top-tier enterprise customers
- Work directly with founders and the Head of Engineering on problems that matter
- High autonomy, real impact, and clear ownership on well-scoped projects from day one
- Operate at the intersection of AI, data infrastructure, and enterprise workflows
- Top-tier compensation with meaningful equity upside
- Help shape the platform, patterns, and engineering culture you can be proud of
Our Hiring Process
- Intro Call: A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions
- Deep Dive: Walk us through past engineering work and how you think about complex, ambiguous backend problems
- Work Sample: Solve a real Boam-style technical challenge that shows your coding style, system thinking, and execution muscle
- Founder Conversation: Candid discussion with our founder on ambition, values, ownership, and how you’d grow with us as we scale the platform
Backend Engineer employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer
✨Tip Number 1
Get your hands dirty with some real coding challenges! Before your interview, try to solve problems similar to what Boam AI might throw at you. This will not only sharpen your skills but also give you a solid talking point during your deep dive.
✨Tip Number 2
Don’t just talk about your past experiences; show us how you think! Prepare to walk us through your thought process on complex backend issues. We love seeing how you tackle ambiguity and come up with solutions.
✨Tip Number 3
Be ready to discuss your approach to building resilient systems. We want to hear about your strategies for ensuring reliability and scalability in your projects. It’s all about demonstrating that you can keep our data fresh and our APIs fast!
✨Tip Number 4
Finally, don’t forget to showcase your passion for AI and data infrastructure! We’re looking for someone who’s excited about working at the intersection of these fields. Make sure to highlight any relevant projects or experiences that align with our mission.
We think you need these skills to ace Backend Engineer
Some tips for your application 🫡
Show Your Passion for Backend Engineering: When you're writing your application, let your enthusiasm for backend engineering shine through! Talk about your experience with Scala and Python, and how you've tackled complex problems in production systems. We want to see that you’re not just looking for a job, but that you’re genuinely excited about building resilient services.
Highlight Your Collaborative Spirit: We love teamwork at Boam AI, so make sure to mention any experiences where you've partnered with senior engineers or worked in a collaborative environment. Share examples of how you’ve contributed to system design or helped scale existing systems. This shows us you’re ready to jump into our high-trust, low-ego culture!
Demonstrate Your Problem-Solving Skills: In your application, don’t shy away from discussing specific challenges you've faced in backend development. Describe how you approached these issues and the impact of your solutions. We’re looking for candidates who thrive on tackling ambiguous problems and can think critically about system design.
Apply Through Our Website: Finally, make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Boam AI and what we stand for before you hit send!
How to prepare for a job interview at Boam AI
✨Know Your Tech Stack
Make sure you’re well-versed in Scala and Python, as these are key to the role. Brush up on your knowledge of distributed systems and data pipelines, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
During the Deep Dive, be prepared to walk through complex backend problems you've tackled. Use specific examples to illustrate your thought process and how you approached ambiguity in your previous work.
✨Demonstrate Your Impact
Highlight instances where your contributions led to tangible customer outcomes. Discuss how you’ve improved performance or scalability in past roles, and be ready to share metrics that showcase your success.
✨Engage with the Founders
In the Founder Conversation, be candid about your ambitions and values. Show genuine interest in the company’s mission and culture, and express how you envision growing with them as they scale their platform.
