backend developer in production AI

NDA; Greater London; Sur place; GBP 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Visa sponsorship

Relocation support

Résumé du poste

NDA in London seeks an experienced backend engineer to design, build and scale Python services (Django preferred) with opportunities to work in Go. You will deploy production‑grade AI applications, agent workflows, and LLM integrations, translating business problems into scalable software.

The role requires 3+ years of commercial software engineering, strong API, SQL and system design skills, and comfort working with non‑technical stakeholders in a fast-paced startup.

Qualifications

• 3+ years of commercial software engineering experience.
• Strong backend fundamentals (APIs, databases, messaging).
• Experience in a start-up or fast-paced product environment.
• Excellent communication and ownership.

Responsabilités

• Work with technical and non-technical stakeholders to understand problems, gather requirements, and identify opportunities for AI.
• Design, build, and scale backend services using Python, with opportunities to work in Go.
• Develop and deploy production-grade AI applications, agent workflows, and LLM integrations.
• Translate ambiguous business requirements into practical, scalable technical solutions.
• Build and improve APIs, asynchronous processing systems, and data pipelines.
• Work on agent orchestration, retrieval systems, and AI infrastructure.
• Own solutions from initial discovery and prototyping through deployment, iteration, and production.
• Measure the impact of solutions and continuously improve them based on feedback and real-world usage.
• Independently design and deliver AI solutions that create measurable value.

Connaissances

Python

Go

LLM deployments

APIs

SQL

System design

Performance

Communication

Ownership

Independent work

Outils

Django

Go

Description du poste

The company is a well-funded, high-growth technology start-up with a global presence and an established product generating revenue in production.

• Work with technical and non-technical stakeholders to understand problems, gather requirements, and identify opportunities for AI
• Design, build, and scale backend services using Python, with opportunities to work in Go
• Develop and deploy production-grade AI applications, agent workflows, and LLM integrations
• Translate ambiguous business requirements into practical, scalable technical solutions
• Build and improve APIs, asynchronous processing systems, and data pipelines
• Work on agent orchestration, retrieval systems, and AI infrastructure
• Own solutions from initial discovery and prototyping through deployment, iteration, and production
• Measure the impact of solutions and continuously improve them based on feedback and real-world usage
• Independently design and deliver AI solutions that create measurable value
• 3+ Years of commercial software engineering experience
• Strong backend engineering experience with Python, ideally Django, or Go and willingness to work extensively in Python
• Hands-on experience building and deploying LLM-powered applications or agentic AI systems into production
• Strong engineering fundamentals across APIs, SQL, system design, and performance
• Experience owning technical solutions from initial problem discovery through production
• Comfortable working directly with non-technical stakeholders and translating their challenges into engineering solutions
• Experience in a start-up or fast-paced product engineering environment
• Product and commercial mindset, with interest in understanding the measurable impact of the work
• Excellent communication skills, strong ownership, and ability to work independently in ambiguous environments
• Comprehensive benefits and professional development support
• Visa sponsorship and relocation support available
• London-based engineering team, working predominantly in person