At a Glance
- Tasks: Design and build AI agent infrastructure, tackling complex backend and machine learning challenges.
- Company: Join a forward-thinking tech partner focused on innovative AI solutions.
- Benefits: Enjoy remote work, competitive pay, equity options, and generous time off.
- Other info: Collaborative culture with opportunities for mentorship and professional growth.
- Why this job: Shape the future of intelligent tools while working with cutting-edge AI technology.
- Qualifications: 5+ years in software engineering, experience with AI platforms, and strong backend skills.
The predicted salary is between 80100 - 97900 £ per year.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Agents based in the United Kingdom. As a Senior Software Engineer specializing in AI agents, you will help build the next generation of intelligent developer tools designed to simplify complex technical workflows and deliver actionable insights. You will create the foundational infrastructure behind AI-powered assistants, including orchestration systems, tool execution frameworks, context management, evaluation pipelines, and reliability layers. Working in a remote-first engineering environment, you will have the opportunity to shape an emerging AI product from an early stage while solving challenging backend and machine learning problems. This role is ideal for an engineer who enjoys ambiguity, takes ownership, and wants to build systems that can scale to support thousands of users and complex real-world interactions.
Accountabilities
- Design and build the core infrastructure powering AI agent capabilities, including orchestration, tool execution, context management, evaluation systems, and trust frameworks.
- Develop reliable, secure, and observable backend systems that enable AI assistants to interact with data, applications, and developer workflows.
- Create and improve agent-based features that help users analyze information, understand performance, troubleshoot issues, and make better decisions.
- Build systems around large language models, including tool usage, structured outputs, context handling, evaluation processes, and agent workflows.
- Collaborate with engineering teams to define architecture, identify technical challenges, and establish scalable solutions for an evolving AI platform.
- Improve system reliability, performance, and usability by identifying gaps, investigating issues, and implementing meaningful improvements.
- Contribute to technical discussions, code reviews, architecture decisions, and engineering best practices.
- Take ownership of projects from concept to delivery while working independently in a fast-moving product environment.
- Support knowledge sharing and mentor other engineers as the team and platform continue to grow.
Requirements
- 5+ years of experience building and shipping production software systems.
- Hands-on experience developing applications with large language models, beyond basic prompting, including agent workflows, tool integration, structured outputs, context management, orchestration, or evaluation.
- Strong backend engineering fundamentals with experience designing reliable, scalable, secure, and observable systems.
- Ability to work effectively in ambiguous environments where architecture and product direction are continuously evolving.
- Self-driven approach with the ability to identify opportunities, define solutions, and deliver projects independently.
- Strong communication and collaboration skills, especially within remote and distributed engineering teams.
- Experience with AI platforms and tools such as OpenAI or Anthropic APIs is a plus.
- Previous experience building AI agents, conversational interfaces, Slack integrations, or developer-focused tools is advantageous.
- Familiarity with evaluation and observability frameworks such as Langfuse or LangChain is a plus.
- Knowledge of subscription business models, mobile applications, app stores, or developer platforms is beneficial.
- Contributions to open-source AI or machine learning projects are considered an advantage.
Benefits
- Fully remote and flexible working environment.
- Competitive compensation package with equity opportunities.
- Long-term equity support with an extended exercise window for vested options.
- 4–5 weeks of recommended annual time off to support mental, physical, and emotional well-being.
- Workspace setup budget to help create an effective remote working environment.
- Annual learning and development budget to support continuous growth.
- Opportunity to work on cutting-edge AI technology with significant product impact.
- Collaborative international engineering culture with experienced technical teams.
- Opportunity to shape AI-native products and influence the future of intelligent developer tools.
We appreciate your interest and wish you the best!
Senior Software Engineer, Agents in London employer: Jobgether
At Jobgether, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our remote working environment allows for flexibility while providing ample opportunities for professional growth and development in the tech industry. Join us to make a meaningful impact in enhancing open-source technology adoption, all while enjoying the benefits of a supportive team and a commitment to your career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Agents 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 Jobgether 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 Jobgether.
✨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 Jobgether.
✨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 Jobgether 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 Senior Software Engineer, Agents 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 Jobgether.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jobgether 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 Jobgether
✨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 Jobgether 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.
