Software Engineer, Generative AI

Company: Jobtailor
Apply for the Software Engineer, Generative AI
Location: London
Job Description:

Overview

Design and develop robust, scalable, and secure 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 for integrating advanced AI models and agentic workflows into our platform. Collaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to production. Implement and maintain responsive user interfaces (primarily backend enablement though some frontend interaction is expected) using technologies like React and TypeScript to deliver intuitive user experiences. Partner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliability. Own key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews.Requirements

3+ years of hands-on experience as a software engineer, with a strong emphasis on Python development in production environments. We are open to discussing seniority levels from Senior to Staff.Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and modern open source agentic frameworks.Deep understanding and 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 and processes.An “Own” attitude, taking full accountability for delivering high-quality, resilient, and scalable code from conception through to production, continuously driving performance and maintainability.

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Posted: July 12th, 2026