
Job Overview
Location
London, UK
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Design and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation
- • Build and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into the core platform
- • Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deployment
- • Implement and maintain responsive user interfaces using React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablement
- • Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineers
- • Partner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads
- • Leverage LLMs, vector databases such as Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks to power enterprise-grade AI solutions
- • Utilize cloud platforms including AWS, GCP, or Azure for deploying and managing scalable AI infrastructure
- • Apply containerization technologies like Docker and Kubernetes to manage microservices and distributed workloads
- • Implement enterprise security practices including IAM, SSO, SAML, OAuth, OIDC, and RBAC for secure AI system administration
- • Develop and maintain services for enterprise administration and billing systems
- • Accelerate engineering workflows using AI developer tooling such as Claude, Cursor, or GitHub Copilot
- • Contribute to a product used by leading enterprises including Mars, Marriott, Uber, and Vanguard to deploy AI agents grounded in their proprietary data
- • Work in a hybrid model based out of the London office hub, reporting to an engineering director or senior engineering manager
- • Engage in collaborative settings with a Connect mindset, actively mentoring other engineers and contributing to team growth
- • Embody a Challenge spirit by proactively identifying and solving complex technical hurdles
- • Take full ownership of delivering high-quality, resilient, and scalable code from conception to production
🎯 Requirements
- • 3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environments
- • Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworks
- • Practical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and Kubernetes
- • Solid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot
- • Exposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systems
- • A Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production
🏖️ Benefits
- • 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, learning and development
- • Company-wide off-sites and team off-sites
- • Competitive compensation and company stock options
Skills & Technologies
About Writer Inc.
Writer Inc. provides an enterprise-grade generative AI platform for creating, editing and governing business content. The system embeds into workflows to generate marketing copy, documentation, emails and other text while enforcing brand, style and compliance rules. It includes a language model, style guides, snippets, terminology management and analytics, all designed to maintain consistency across teams. Clients use Writer to accelerate content production, reduce revisions and ensure regulatory adherence without sacrificing human oversight.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities

Fair Isaac Corporation
2 months ago

Eli Lilly and Company
10 hours ago

