Senior Software Engineer (AI/ML, AI Platform, EDI)

Addepar, Inc.; City of Edinburgh; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity ownership

Global hybrid workforce

Flexible time off

Learning & Development allowance

Career growth in AI/ML

Job summary

Addepar, Inc. in Edinburgh (UK) is seeking a Senior AI Engineer to architect and lead the delivery of AI-native capabilities across the platform. You will own end-to-end prototype-to-production of AI features, collaborating with product managers and engineering peers to ship high-impact solutions.

The role emphasizes ownership, rapid iteration, and adopting frontier AI technologies to keep Addepar at the cutting edge of wealth tech. Flexible hybrid work is available globally.

Qualifications

• Hands-on experience with AI/LLM ecosystem tech like Databricks, Langchain and MLFlow.
• Proven track record of owning and shipping complex, production-grade AI systems.
• Experience building AI products in finance is a plus.
• Extensive backend software engineering experience with Python, Golang, gRPC, AWS and Kubernetes.

Responsibilities

• Architect, lead, and deliver core AI capabilities powering the platform.
• Own end-to-end delivery of AI-native products from prototype to scalable production services.
• Drive rapid iteration on AI products based on performance metrics and user feedback.
• Partner with product managers and other engineering teams to translate strategic goals into technical reality.

Skills

LLM experience

Cross-functional collaboration

Production-grade mindset

AI product ownership

Finance domain knowledge

Education

BS/MS in CS/Statistics/Math or related field

Tools

Databricks

Langchain

MLFlow

Python

Golang

gRPC

AWS

Kubernetes

Job description

• 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
• 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

Benefits

• Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar
• Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world
• Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule
• Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy
• Learning & Development Allowance: Your continued growth and development are important to us
• Dynamic Team: Strong investment in the best talent at the intersection of technology and finance

A strong bias for action, with a passion for shipping rapidly and iterating with feedback[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlowDeep ownership mindset, seeing projects through to completion and raising the bar for execution across the team[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMsProven track record of owning and shipping complex, production-grade systems[Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance is a plusBS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience[Preferred] Specific experience with LLMs and agentic systemsProven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AIExtensive professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes