Production AI Backend Engineer - LLM Apps (Python/Go)

NDA; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Job summary

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.

Responsibilities

• 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.

Skills

Python

Go

LLM deployments

APIs

SQL

System design

Performance

Communication

Ownership

Independent work

Tools

Django

Go

Job description

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.