Senior Python Backend Engineer for AI/LLM Systems (Remote)

Acclaim AI; Greater London; On-site; GBP 85,000 - 110,000; Full time

Benefits offered by this job

Fully remote across Europe

21 vacation days + public holidays + 5

Company-paid AI tools subscriptions

Private English lessons via Preply

Job summary

Acclaim AI is seeking a skilled backend developer to build scalable services, APIs, databases, and integrations with external systems while collaborating with a small, hands-on team that moves fast. You will own the LLM agent framework, improve observability, and adapt solutions for customer use cases, leveraging AI tools in daily development.

Ideal candidates have 6+ years with Python and 2+ years with async Python, plus a proactive approach to debugging across service boundaries and

Qualifications

• 6+ years of production experience with Python.
• At least 2 years of hands-on experience with async Python (FastAPI, aiohttp, or similar frameworks) in production.
• Ability to debug issues across service boundaries.
• Comfortable working with partially defined tasks and evolving requirements.
• Ready to work in a fast-changing, high-uncertainty environment.
• Open to using AI tools in daily development and troubleshooting.

Responsibilities

• Develop and maintain the internal LLM agent framework with focus on scalability, processing, and parallelism.
• Ensure system observability and reliability using metrics, tracing and monitoring tools.
• Adapt the framework for specific customer use cases and collaborate closely with ML/NLP teams.
• Build and support automated LLM evaluation pipelines.
• Design backend services using Python and modern cloud‑native architecture.

Skills

Python

Async Python (FastAPI / aiohttp)

Debugging

AI Tools

Tools

LangSmith

Job description

Acclaim AI is seeking a skilled backend developer to build scalable services, APIs, databases, and integrations with external systems while collaborating with a small, hands-on team that moves fast. You will own the LLM agent framework, improve observability, and adapt solutions for customer use cases, leveraging AI tools in daily development.

Ideal candidates have 6+ years with Python and 2+ years with async Python, plus a proactive approach to debugging across service boundaries and