Sr. Software Engineer - AI/ML - AI Platform (EDI)

Addepar1·Edinburghsenior

In short

→Ingeniero de software sénior especializado en IA/ML que construye y despliega productos nativos de IA a producción.
→Trabaja con LLMs, frameworks agenticos, bases de datos vectoriales y sistemas escalables en AWS y Kubernetes.
→Destaca por liderar el desarrollo de soluciones de IA de vanguardia con enfoque en entrega rápida y calidad de producción.

Proficiency in English required for collaboration across global teams.

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What they ask for

✓Experiencia comprobada en ingeniería de software backend con Python, Golang, gRPC, AWS y Kubernetes.
✓Historial de entregar sistemas complejos y de producción de alto impacto.
✓Experiencia real o proyectos personales significativos en IA nativa, LLMs o sistemas agenticos.
✓Capacidad para liderar el ciclo completo de desarrollo: prototipo a producción.
✓Mentalidad de propiedad, con enfoque en acción rápida y mejora continua.
✓Título en Ciencias de la Computación, Estadística, Matemáticas o campo cuantitativo equivalente.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonGolanggRPCAWSKubernetesLLMsvector DBsprompt tuningagentic frameworksMCP

Who should you write to at Addepar1?

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Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do • Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity • Architect, build, and productionize core components of our AI platform – including: • LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) • Agentic frameworks • Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use • Enforce technical discipline and operational excellence for all of our AI products • Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement • Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry • Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly Who You Are • Extensive professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes • Proven track record of owning and shipping complex, production-grade systems. • Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI • Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team • A strong bias for action, with a passion for shipping rapidly and iterating with feedback • BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience • [Preferred] Specific experience with LLMs and agentic systems • [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as D

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