At a Glance
- Tasks: Design and optimise AI infrastructure while developing backend systems and services.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Enjoy competitive pay, remote work flexibility, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real difference in the industry.
- Qualifications: Experience in backend development and strong collaboration skills are essential.
- Other info: Dynamic team environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 Β£ per year.
Commitment: Full-time, approximately 30β40 hours per week
Role Responsibilities
- Design, build, and optimize distributed infrastructure for training, deploying, and scaling AI agents
- Develop backend systems including services, APIs, and orchestration layers supporting agent lifecycles
- Integrate model-serving pipelines, agent reasoning loops, memory stores, and planning components into production systems
- Build and maintain agent runtime infrastructure including scheduling, state management, and inter-agent communication
- Implement monitoring, observability, and fault-tolerance for long-running distributed workflows
- Evaluate and improve system performance across compute, networking, storage, and inference layers
- Participate in regular synchronous collaboration sessions to review architecture and troubleshoot systems
Requirements
- Strong experience designing production-grade backend services and APIs
- Proficiency in one or more systems or backend programming languages
- Strong experience with cloud infrastructure and containerization/orchestration tools
- Familiarity with agent frameworks, multi-agent architectures, or LLM inference pipelines
- Strong understanding of networking, data streaming, caching, and performance optimization
- Excellent collaboration and communication skills
Software Engineer | Remote employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Software Engineer | Remote
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to backend services and APIs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by brushing up on common technical questions and system design scenarios. Practising with friends or using mock interview platforms can help us nail that crucial first impression.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software Engineer | Remote
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with backend services and APIs. We want to see how your skills align with our needs, so donβt be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why youβre excited about the role and how your background in cloud infrastructure and containerization makes you a great fit for our team.
Showcase Your Collaboration Skills: Since we value teamwork, include examples of how you've successfully collaborated on projects. Whether itβs through regular meetings or troubleshooting sessions, let us know how you work well with others!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy!
How to prepare for a job interview at Crossing Hurdles
β¨Know Your Tech Stack
Make sure youβre well-versed in the programming languages and tools mentioned in the job description. Brush up on your knowledge of backend services, APIs, and cloud infrastructure. Being able to discuss your experience with these technologies confidently will show that you're a strong fit for the role.
β¨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, especially those related to distributed systems or AI agents. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and how you approach complex problems.
β¨Familiarise Yourself with Agent Frameworks
Since the role involves working with agent frameworks and multi-agent architectures, do some research on popular frameworks and their applications. Be ready to discuss how you would integrate model-serving pipelines and reasoning loops into production systems, as this will highlight your understanding of the role's requirements.
β¨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the teamβs current projects, collaboration practices, and how they handle system performance evaluations. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.