Software Engineer, Generative AI

November 4, 2026

Hybrid

Senior

London, United Kingdom

Indeed

Description

An enterprise AI platform for marketing and revenue teams is hiring a software engineer focused on generative AI. The role covers building secure, scalable AI services, high-performance low-latency APIs and microservices, and responsive user interfaces. Candidates report to an engineering director or senior engineering manager, with hiring open at senior to staff levels. The position is hybrid, based out of San Francisco, New York City or London hubs.

Responsibilities

Design and develop robust, secure and scalable generative AI services and applications using Python and modern frameworks
Build and optimize high-performance, low-latency APIs and microservices integrating advanced AI models and agentic workflows into the core platform
Own the architecture of core platform components from initial proposal through production deployment as a whole-systems thinker
Implement and maintain responsive user interfaces using React and TypeScript to bridge backend services and frontend enablement
Communicate changes, plans and proposals clearly to cross-functional teams and collaborate closely with product managers, data scientists and DevOps engineers
Partner with DevOps teams to build continuous deployment, logging and monitoring systems ensuring performance, security and reliability across distributed workloads

Requirements

3-5+ years of hands-on experience as a software engineer with strong emphasis on Python development in production environments
Proven expertise in building and deploying generative AI applications using LLMs, vector databases such as Pinecone, Weaviate or pgvector, and modern open-source agentic frameworks
Practical experience with microservices architecture, RESTful APIs and cloud platforms such as AWS, GCP or Azure, plus containerization with Docker and Kubernetes
Solid grasp of modern web technologies including FastAPI, Asyncio and PostgreSQL, with hands-on experience using AI developer tooling like Claude, Cursor or GitHub Copilot
Exposure to enterprise architecture with practical experience implementing IAM, SSO, SAML, OAuth, OIDC and RBAC, plus robust security best practices and enterprise administration or billing services
Connect mindset for active collaboration with cross-functional teams and mentoring other engineers, a Challenge spirit for complex technical hurdles, and an Own attitude taking full accountability for resilient, scalable code