Sr. AI Backend Engineer
- £80k – £90k • 0.02% – 0.05%
- |Remote () •
- |7 years of exp
- |Full Time
Reposted: 1 year ago
Job Location
Remote Work Policy
Onsite or remote
Hires remotely in
Visa Sponsorship
Available
Preferred Timezones
Coordinated Universal Time, Central European Time
RelocationNot Allowed
Skills
Python
Communication Skills
API
Technical documentation
Deep Learning
Microsoft Azure
Go (Golang)
Microservices
AWS
Grpc
TensorFlow
Docker / Docker Compose / Kubernetes
NLP
Serverless
CICD
Databases (SQL and NoSQL)
GCP
PyTorch
MLOps
Generative AI
LLMs
Large Language Models (LLMs)
GenAI
Generative AI (GenAI)
Visual Language Models (VLMs)
About the job
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!
About the company
1-10
SaaS
Developer APIs
Intelligent Assistants
- Early StageStartup in initial stages
Employees joined from
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