Software engineer, agents (UK)

Writer
London, GB
On-site

Who this role is best for

Best suited to mid-level fullstack engineers with Python expertise and experience in AI agent systems, working in a London-based team that builds enterprise-grade AI solutions.

Best fit for

  • Engineers who integrate AI models with enterprise data and services.
    — “integrate agent capabilities with backend services, data stores, vector databases
  • Developers comfortable with agent orchestration and asynchronous workflows.
    — “Understanding of agent orchestration patterns, state management, and asynchronous workflows
  • Candidates who contribute to open-source AI toolkits or SDKs.
    — “Contributions to open-source agent toolkits or SDKs

Things to consider

  • Requires proficiency in agentic coding tools like Cursor and Claude Code.
    — “Proficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code
  • Expect collaboration with cross-functional teams including AI researchers and product managers.
    — “Collaborate with product managers, AI researchers, data engineers, and UX teams

How to stand out

  • Showcase past work on multi-step AI agent decision-making loops.
    — “Past work on AI agents that coordinate multi-step actions, reasoning, or autonomous decision-making loops
  • Highlight experience with frontend technologies for agent management interfaces.
    — “Experience with frontend technologies (React, TypeScript) for tooling around agent management interfaces
  • Demonstrate expertise in cloud platforms and containerization.
    — “Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes)
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and implement scalable, secure agent-driven services
  • Collaborate with cross-functional teams to translate complex agent concepts into production-ready software
  • Ensure reliability and observability for all agent components
Typical background
3+ years of professional software engineering experienceStrong proficiency in PythonExperience with cloud platforms and containerization

Skills & requirements

Required

PythonDistributed SystemsMicroservicesCloud PlatformsContainerizationPerformance OptimizationTesting FrameworksCi/cd Pipelines

Preferred

Agentic CodingLangchainVector DatabasesLarge Context Reasoning Services

Stack & domain

PythonAgentic CodingDistributed SystemsMicroservicesBackend ApisAi ModelsAgent FrameworksVector DatabasesLarge Context Reasoning ServicesCloud PlatformsContainerizationOperational EngineeringPerformance OptimizationTesting FrameworksCi/cd PipelinesCommunicationCollaborationEnterprise Ai

About the role

Original posting from Writer via Ashby

🚀 About WRITER

WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.

Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.

📐 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., LangChain 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
  • Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer
  • 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

Source: Writer careers (Ashby)

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