Software engineer, agents (UK)

Posted 6 Hours Ago
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
Mid level
Artificial Intelligence • Software • Generative AI
The leading enterprise generative AI platform
The Role
Build and scale AI agent systems that orchestrate autonomous workflows and integrate with enterprise data, services, vector databases, search systems, and external APIs. Develop backend APIs, agent infrastructure, state management, asynchronous workflows, and operational tooling. Ensure reliability, observability, security, testing, and performance while collaborating with product, research, data, and UX teams. Contribute to architecture, code reviews, open-source agent toolkits, and React/TypeScript interfaces.
Summary Generated by Built In

🚀 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

Skills Required

  • 3+ years of professional software engineering experience
  • 3+ years of production Python experience
  • Daily use of agentic coding tools such as Cursor or Claude Code
  • Experience building distributed systems, microservices, or complex backend APIs for AI or agent workflows
  • Experience integrating AI models, agent frameworks, vector databases, and large-context reasoning services
  • Understanding of agent orchestration, state management, and asynchronous workflows
  • Experience with AWS, GCP, or Azure
  • Experience with Docker and Kubernetes
  • Knowledge of performance optimization, testing frameworks, and CI/CD pipelines
  • Excellent communication and collaboration skills
  • Experience building AI agents with multi-step actions, reasoning, or autonomous decision-making loops
  • Contributions to open-source agent toolkits or SDKs
  • Experience with React and TypeScript

Writer Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Writer and has not been reviewed or approved by Writer.

  • Healthcare Strength — Employer-covered medical plan options plus dental, vision, life insurance, and FSA are highlighted across careers materials. These details point to strong core coverage in the health benefits offering.
  • Parental & Family Support — Paid parental leave is positioned as competitive, with recent postings citing 12 to 16 weeks depending on role or location. This indicates a substantial leave benefit for parents, though specifics should be confirmed at the offer stage.
  • Retirement Support — A 401(k) with employer contributions is repeatedly listed as part of total rewards. Job ads and company materials consistently reinforce retirement support as a core benefit.

Writer Insights

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The Company
HQ: San Francisco, CA
350 Employees
Year Founded: 2020

What We Do

Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Its fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that automate mission-critical work. Writer’s suite of development tools is supported by Palmyra – Writer’s state-of-the-art family of LLMs – alongside its industry-leading graph-based RAG and customizable AI guardrails. Hundreds of customers like Accenture, Intuit, L’Oreal, Salesforce, Uber, and Vanguard trust Writer to transform the way they work. Founded in 2020 with offices in San Francisco, New York City, and London, Writer is backed by world-leading investors, including Premji Invest, Radical Ventures, ICONIQ Growth, Insight Partners, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Citi Ventures, IBM Ventures, WndrCo, and others. Learn more at writer.com.

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