AI Deployment Engineer: Build & Scale Agent Systems

ByteDance; Greater London; On-site; GBP 110,000 - 150,000; Full time

Job summary

ByteDance in London is seeking an experienced software engineer to rapidly develop and debug AI applications for production-grade deployment within customer environments. You will prototype AI agents, design cloud-based architectures, and integrate with customers' APIs and data systems while meeting security requirements.

Join a team that builds high-performance evaluation pipelines, observability frameworks, and reusable agent patterns.

Qualifications

• Bachelor's degree or equivalent hands-on experience in CS/engineering.
• 3+ years of software development with Vibe Coding in real projects.
• Hands-on AI app development: Prompt Engineering, Fine-Tuning, RAG, Agent development.
• Experience with cloud-based architecture, cloud APIs/SDKs, scalable systems.

Responsibilities

• Understand customer scenarios, prototype AI apps for validation and production-grade agents.
• Design AI and cloud architectures; integrate with customer APIs and data systems while meeting security needs.
• Build evaluation pipelines and observability to meet accuracy, safety, and latency requirements.
• Identify reusable patterns and translate them into product feature requests.
• Collaborate with customers' engineering teams to ensure stable deployment and sustained value.

Skills

Vibe Coding

Prompt Engineering

Fine-Tuning

RAG

Agent development

Cloud architecture

Education

Bachelor's degree or above in Computer Science, Engineering, Mathematics, or a related field

Tools

LangGraph

CrewAI

Cloud service SDKs

Job description

ByteDance in London is seeking an experienced software engineer to rapidly develop and debug AI applications for production-grade deployment within customer environments. You will prototype AI agents, design cloud-based architectures, and integrate with customers' APIs and data systems while meeting security requirements.

Join a team that builds high-performance evaluation pipelines, observability frameworks, and reusable agent patterns.