Software engineer, agents (UK)
Writer is hiring a Software engineer, agents (UK) for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Writer.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions Claude, LangGraph and Cursor among its tools and skills.
- Writer has 45 other open roles on Level.
- Posted in the last few days.
AI in this role
🚀 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 & perks (UK full-time employees):
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
How we rate this
Software engineer, agents (UK) at Writer rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of LangGraph that you've run into, and how did you work around them?
- What's a project where you used Cursor hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Claude, LangGraph, Cursor, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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