At a Glance
- Tasks: Build AI-powered applications and design intelligent workflows for everyday users.
- Company: Join a forward-thinking tech company on a mission to revolutionise user experiences.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and continuous improvement.
- Why this job: Make a real impact by transforming complex AI into simple, intuitive solutions.
- Qualifications: Strong software engineering skills and experience with AI technologies.
There are over 5 billion users using basic applications today such as email, notes, and tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising, and workflows, with minimal prompting.
Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behaviour. Our objective is to help users complete tasks daily enjoyably with over ~90% reduced time.
As an LLM Application Engineer, you will build the intelligence layer that powers A1's AI experiences. You will work at the intersection of LLMs, software engineering, and product - designing agent workflows, improving model behaviour, and turning AI capabilities into reliable user experiences. You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems, and continuously improving AI behaviour in production.
Focus:
- Build and ship LLM-powered applications and AI agent workflows
- Design systems for reasoning, planning, memory, tool use, and multi-step execution
- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions
- Integrate LLMs with APIs, databases, search, internal services, and external tools
- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behaviour
- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions
- Debug AI systems across the entire stack—from model behaviour and prompts to orchestration, backend services, and product UX
- Optimise AI systems for quality, latency, and cost
- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions
- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement
Tech Stack:
- Python
- LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models
- Agent frameworks and orchestration systems
- Vector databases and retrieval systems
- Backend services, APIs, and distributed systems
- PyTorch / JAX
Ideal Experience:
- Strong software engineering fundamentals with experience building AI-powered applications
- Hands-on experience with LLMs, generative AI, or agent-based systems
- Experience designing prompts, workflows, evaluations, or AI behaviour
- Ability to write clean, production-quality code
- Comfortable working across abstraction layers (model → system → product)
- Strong problem-solving skills in ambiguous, fast-moving environments
- Bias toward shipping, iteration, and continuous improvement
Outcomes:
- AI features reach production quickly and deliver measurable user impact
- LLM-powered workflows are reliable, scalable, observable, and maintainable
- AI quality improves through systematic evaluation, experimentation, and iteration
- AI workflows become increasingly predictable, efficient, and cost-effective
- Complex AI capabilities are translated into simple, intuitive user experiences
LLM Application Engineer in London employer: Bjak
BJAK is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for ambitious professionals looking to make a significant impact. With a focus on employee growth and development, we offer numerous opportunities for advancement in a fast-paced, high-growth environment. Join us in our mission to scale operations across multiple countries and be part of a team that values ownership and efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Application Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Bjak or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Bjak.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Bjak.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Bjak that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace LLM Application Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Bjak.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Bjak and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Bjak
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Bjak uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
