Instill AI
Sr. AI Backend Engineer
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Backend
- Posted
Skills
Must have
- 7+ years experience in backend or infrastructure engineering
- Strong proficiency in Golang (Go)
- Proven track record building and scaling AI-powered or data-intensive systems (LLMs, RAG pipelines, agent-based architectures)
- Solid understanding of cloud infrastructure and container orchestration (Kubernetes, Docker)
- Experience ensuring scalability, resilience, and security in distributed systems
Nice to have
- Familiarity with ML frameworks and AI agent technologies
- Knowledge of message queues, zero-trust networking, and serverless architecture
Full description
Compensation: £80k – £90k • 0.02% – 0.05%
What You’ll Be Doing
As our Senior AI Backend Engineer, you’ll build the core backend infrastructure that powers Instill AI’s AI-native product experiences — from large-scale unstructured data processing to real-time AI agent orchestration.
Build
- Design and develop high-performance APIs and backend services for AI workflows, including AI agents and model deployment
- Build robust data pipelines to process large-scale unstructured data (documents, audio, video)
- Integrate LLMs, VLMs, and other ML models into production-ready, reliable services
Engineer
- Apply best practices in architecture and infrastructure, including IaC, microservices, serverless, API-first design, and Twelve-Factor principles
- Ensure system performance, observability, and fault tolerance in distributed environments
- Work with cloud platforms (GCP, AWS, Azure), Kubernetes, Docker, and modern observability tools
Collaborate
- Partner with ML engineers, product managers, and designers to deliver end-to-end features
- Help shape engineering culture, best practices, and long-term architecture
What We’re Looking For
Must-haves
- 7+ years experience in backend or infrastructure engineering
- Strong proficiency in Golang (Go)
- Proven track record building and scaling AI-powered or data-intensive systems (LLMs, RAG pipelines, agent-based architectures)
- Solid understanding of cloud infrastructure and container orchestration (Kubernetes, Docker)
- Experience ensuring scalability, resilience, and security in distributed systems
Nice-to-haves
- Familiarity with ML frameworks and AI agent technologies
- Knowledge of message queues, zero-trust networking, and serverless architecture
Mindset
- Systems thinker with a passion for automation and reliability
- Comfortable in a fast-paced startup environment with frequent releases
- Excellent communicator with strong documentation skills
- Customer- and data-obsessed with a high attention to detail
- Proactive, self-driven, and curious about continuous improvement
What's next
If you're interested, please submit your application here!