Technical Lead, Applications

BjakBjak·Remote(United Kingdom)
Other
Excel

WFA Digital Insight

The demand for technical leaders in AI-powered applications has surged, with over 25% of companies now investing in smart assistants. As a Technical Lead at Bjak, you'll own the core application architecture, overseeing backend services, APIs, and client integrations. With the UK's thriving tech scene, this role offers a unique chance to shape the future of AI-driven products. Before applying, consider your experience in leading application engineering, delivering AI-powered products, and making high-impact technical decisions. Bjak's focus on achieving high reliability for long-running workflows and real-world task completion makes this an exciting opportunity for those passionate about AI and its practical applications.

Job Description

About the Role

The Technical Lead, Applications at Bjak is a hands-on leadership role responsible for the design, reliability, and evolution of backend services, APIs, and client integrations across mobile and desktop. This position is critical in connecting AI systems to real-world user experiences, ensuring the system remains fast, reliable, and coherent as it scales. As part of a high-talent density team, you will work closely with the Machine Learning leadership to translate model capabilities into shippable product features.

The role entails leading a small, senior applications team, including backend, mobile, and desktop engineers, and ensuring production-grade reliability through observability, monitoring, retries, fallbacks, and failure handling. Your architectural decisions will have a direct impact on the user experience, making this a uniquely challenging and rewarding position for those who enjoy both the technical and leadership aspects of their work.

Bjak is committed to building a proactive AI smart assistant that brings intelligence to everyday conversations, errands, organizing, and workflows. The company's goal is to achieve high reliability for long-running workflows, persistent context, and real-world task completion, setting a new standard in AI-powered applications.

What You Will Do

  • Own the application engineering strategy and execution across backend, mobile, and desktop.
  • Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
  • Ensure production-grade reliability: observability, monitoring, retries, fallbacks, and failure handling.
  • Set the architectural direction for AI-powered product workflows, APIs, and client integrations.
  • Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
  • Partner closely with Machine Learning leadership to translate model capability into shippable product features.
  • Make high-impact decisions across latency, cost, reliability, security, and user experience.
  • Establish a strong execution culture through code reviews, design reviews, and hands-on technical leadership.
  • Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
  • Balance speed and discipline – shipping quickly without compromising long-term system quality.

What We Are Looking For

  • Significant experience leading application or product engineering for complex systems.
  • Strong hands-on background building and shipping backend systems used in production.
  • Experience delivering AI-powered products, with a deep understanding of model integration trade-offs.
  • Excellent system design skills across services, APIs, clients, and data flows.
  • Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.
  • Proven ability to make high-impact technical decisions under ambiguity.
  • A strong bias toward shipping, iteration, and learning from real-world usage.
  • Proficiency in tools like Excel for data analysis and planning.

Nice to Have

  • Experience with Agile development methodologies.
  • Knowledge of cloud-based services and their integration with AI systems.
  • Familiarity with security protocols and practices for protecting user data.

Benefits and Perks

  • Competitive salary package.
  • Opportunity to work on a cutting-edge AI-powered product.
  • Collaborative and dynamic work environment.
  • Professional development opportunities, including training and conference attendance.
  • Flexible working hours and remote work options.
  • Access to the latest tools and technologies.
  • Comprehensive health insurance and wellness programs.

How to Stand Out

  • To stand out, highlight your experience in leading application engineering and delivering AI-powered products, emphasizing your ability to make high-impact technical decisions.
  • Prepare to discuss your approach to ensuring production-grade reliability and your experience with tools like Excel for data analysis.
  • Showcase your system design skills and comfort operating across different platforms.
  • Be ready to talk about your experience with model integration trade-offs and how you've handled ambiguity in previous roles.
  • Consider preparing examples of your work, such as designs or code snippets, to demonstrate your expertise during the interview process.
  • Don't hesitate to ask about the company culture, team dynamics, and opportunities for professional growth during your interviews.

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