writer - Senior software engineer, enterprise AI platform (UK)
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Requirements
• 5+ years of hands-on experience as a senior software engineer with a strong emphasis on Python development in production environments • Proven expertise and deep knowledge in building and deploying generative AI applications, understanding the nuances and caveats of leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and modern open-source agentic frameworks within a secure enterprise context • Hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate and enhance your own engineering workflows • Practical experience with microservices architecture, RESTful APIs, and cloud platforms such as AWS, GCP, or Azure, including containerization with Docker and Kubernetes • Solid grasp of modern web technologies including FastAPI, Asyncio, and database systems like PostgreSQL • A Connect mindset thriving in collaborative settings where you actively engage with cross-functional teams and mentor junior engineers to achieve shared goals • A Challenge spirit demonstrating exceptional problem-solving skills to tackle complex technical hurdles and proactively suggest innovative improvements to our systems • An Own attitude taking full accountability for delivering high-quality, resilient, and scalable code from conception through to production • Exposure of enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, and robust security best practices • Experience designing and building robust services for enterprise administration and billing systems • Experience navigating complex or legacy system migrations and the infrastructure side of deployments
Responsibilities
• Act as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial design through production deployment • Develop secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation • Build and optimize high-performance and low-latency APIs and microservices for integrating advanced AI models and agentic workflows into our enterprise platform • Drive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams without waiting for a stamp of approval • Bridge the gap between backend services, infrastructure, and operations to ensure seamless deployments and scalable architecture
Benefits
• Generous PTO, plus company holidays • Comprehensive medical and dental insurance • Paid parental leave for all parents (12 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
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