Backend Python LLM Engineer - Remote UK
23h ago⚠️ Before applying, please carefully review all the job requirements
- Location:
- Greater London, United Kingdom
- Work Arrangement:
- Fully Remote
- Experience:
- Experience in Full Stack Development
- Job Type:
- Full Time
- Company:
- CSR Full Stack
- Salary:
- £80,000 – £90,000 per year
- Posted:
- 2026-10-06
- Working Hours:
- Flexible working hours (with 10:00 AM daily stand-up)
Job Overview
- This remote-first Backend Software Engineer position offers an exciting opportunity to join a growing AI software solutions provider in a senior, hands-on capacity. The primary focus of the role is to design, develop, and scale production-grade conversational and agentic AI systems while establishing the underlying infrastructure required for peak system reliability. Working closely with modern engineering tools—including Python, Large Language Models (LLMs), and cloud services—you will take complete ownership of technical decisions, modernize existing platform architectures, and integrate third-party AI frameworks. This role is ideal for experienced software developers who thrive on technical autonomy, value clean engineering practices, and possess a solid background in putting LLMs into production. Successful candidates will enjoy working in a pragmatic, highly collaborative remote environment that balances independent architectural design with regular bi-monthly team catch-ups.
Key Responsibilities
- ▪ Architect, develop, and maintain production-ready conversational and agentic AI systems utilizing Python and LLMs.
- ▪ Integrate third-party AI APIs and services to establish reliable, high-throughput backend workflows.
- ▪ Evaluate current platform architecture to identify modernization opportunities and upgrade the technology stack for future AI capabilities.
- ▪ Build and maintain robust backend infrastructure using Infrastructure as Code (IaC) principles to ensure reliable scale.
- ▪ Take complete technical ownership and independently make key design and architectural decisions.
Required Skills and Qualifications
- ▪ Deep technical proficiency in backend software engineering with Python, including asynchronous programming.
- ▪ Hands-on experience deploying Large Language Models (LLMs) into live production environments.
- ▪ Solid understanding of conversational AI workflows and building reliable, scalable backend services.
- ▪ Practical experience working with cloud platforms and modern technologies such as AWS, IaC, TypeScript, and Node.js.
- ▪ Proven capability to operate independently, take architectural ownership, and make autonomous technical decisions.
- ▪ Strong collaborative mindset, pragmatic problem-solving abilities, and enthusiasm for technical discussions
What the Company Offers
- ▪ Competitive annual salary up to £90,000 (£80,000 – £90,000 per year)
- ▪ Remote-first work arrangements within the United Kingdom
- ▪ Flexible working hours built around a 10:00 AM daily stand-up
- ▪ Bi-monthly expenses-paid team meetups
- ▪ Company pension scheme
- ▪ Comprehensive healthcare benefits
Prepare for Your Interview
- These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role.
Suggested Interview Questions
- Q: How have you successfully deployed Large Language Models (LLMs) into live production environments in your previous engineering roles?
- Q: What architectural considerations do you prioritize when designing conversational or agentic AI systems using Python?
- Q: How do you write efficient asynchronous Python code to handle scalable, high-throughput backend services?
- Q: Can you describe your experience implementing Infrastructure as Code (IaC) to maintain reliable cloud environments?
- Q: What approaches do you take when integrating third-party AI services into existing backend infrastructure?
- Q: How have you utilized Amazon Web Services (AWS), TypeScript, or Node.js within backend software projects?
- Q: How do you evaluate an existing tech stack to identify opportunities for architectural modernization?
- Q: Can you share an example of a technical decision you made independently while taking full ownership of a backend system?
- Q: What techniques do you use to troubleshoot latency or reliability issues in AI-driven workflows?
- Q: How do you maintain strong communication and collaboration while working in a remote-first engineering team?
Application Tips
- Applicants may want to highlight relevant experience in Python backend engineering and specific projects involving the deployment of Large Language Models in production environments. When updating your resume or portfolio, emphasize your practical knowledge of cloud services such as AWS, Infrastructure as Code practices, and supporting tech stack tools like TypeScript or Node.js. It is also beneficial to showcase instances where you took direct technical ownership, drove architectural modernization, or designed scalable conversational AI workflows.
Interested Candidates Fill the Application Form: Apply Here
