Software engineer, agents (UK)

Description

About WRITER

WRITER is the AI platform built for the world’s most ambitious marketing and revenue teams, bringing the frontier of AI to the people who drive enterprise growth. With WRITER, autonomous agents work across the buyer journey, continuously executing on market signals and enterprise intelligence to grow revenue faster. Every agent action and asset is grounded in trust, built on an Enterprise Brain that unites brand, product, and company knowledge with fiduciary-grade governance and compliance.

Fortune 500 companies are transforming how they go to market with WRITER, including 3 of the top 5 US banks, 2 of the 5 largest global CPG conglomerates, and 4 of the top 5 US healthcare insurers. Founded in 2020, WRITER is backed by investors including Insight Partners, ICONIQ, Radical Ventures, Premji Invest, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Accenture, Citi Ventures, IBM Ventures, WndrCo, and others. Learn more at WRITER.com .

About the role

We’re seeking a highly skilled fullstack software engineer to join our engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. In this role, you’ll play a key part in designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. You will collaborate with cross-functional teams to turn complex agent concepts into production-ready systems.

🏻‍ What you'll do

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.

What you need

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.

Benefits

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