Software engineer, agents (UK)

Writer

Contract type

Ongoing

Work mode

100% remote

Experience

Mid-level · 3+ years

Job description

Design, implement, and maintain scalable, secure agent-driven services and systems that autonomously accomplish tasks using modern AI frameworks
Develop and enhance robust infrastructure and high-throughput APIs, focusing on core agent capabilities such as memory, communication channels, skills, intelligent decision logic, security and workflow management
Integrate agent capabilities with backend services, data stores, vector databases, search/retrieval systems, and external APIs
Collaborate with product managers, AI researchers, data engineers, and UX teams to translate high-level agent use cases into robust, production-ready software
Ensure reliability, monitoring, and observability for all agent components (metrics, logging, CI/CD, fault tolerance)
Contribute to architectural design decisions and participate in rigorous code reviews to uphold quality and maintainability
Company mission
Information not specified

Core technologies

Python (Programming Language)AWSDockerReactTypeScript

Generous PTO, plus company holidays
Comprehensive medical and dental insurance
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Competitive pension scheme and company contribution
Annual work-life stipends for wellness (gym, massage/chiropractor, personal training, etc.)
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation and company stock options

3+ years of professional software engineering experience with strong proficiency (3+ years) in Python in production environments
Proficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms
Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows
Solid expertise with systems that integrate AI models, agent frameworks (e.g., LangGraph, Agent Harness or platform-specific tooling), vector databases, and large context reasoning services
Understanding of agent orchestration patterns, state management, and asynchronous workflows
Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices
Good grasp of performance optimization, testing frameworks, and CI/CD pipelines
Excellent communication and collaboration skills, with a "connect + challenge + own" mindset
Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops
Contributions to open-source agent toolkits or SDKs
Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces
Python, LangChain, OpenAI, AWS, Docker, React, TypeScript
Python (Programming Language)
AWS
Docker
React
TypeScript