Senior Software Engineer (AI/ML, AI Platform)

Addepar; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Global Hybrid Workforce

Flexible Time Off

Benefits Packages

Learning & Development Allowance

Dynamic Team

Job summary

Addepar, a leading wealth-tech firm in the UK, seeks a Senior AI Engineer to lead the design, delivery, and scaling of AI-native products across the platform. You will architect core AI capabilities, including LLMs, vector stores, and agentic frameworks, ensuring robust production systems and high velocity shipping.

You will partner with product and engineering teams to translate strategic goals into scalable technical solutions, raise the bar for execution, and mentor others while operating

Qualifications

• Hands-on experience with modern AI/LLM ecosystem tools such as Databricks, Langchain, or MLFlow.
• Proven experience shipping and maintaining AI-native products or significant personal AI projects.
• Extensive backend software engineering experience in Python, Golang, gRPC, AWS and Kubernetes.
• Advanced understanding of probabilistic systems underpinning modern LLMs.

Responsibilities

• Architect, build and productionize core AI platform components (LLMs, vector stores, prompts).
• Lead evaluation and adoption of new AI technologies and frameworks.
• Partner with product managers and engineering teams to translate strategic goals into scalable AI solutions.

Skills

Python

Golang

gRPC

AWS

Kubernetes

LLMs

Agentic frameworks

Education

BS/MS in Computer Science or quantitative field

Tools

Databricks

Langchain

MLFlow

Vector DBs

Prompt tuning

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

[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlowProven 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[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMsProven track record of owning and shipping complex, production-grade systemsA strong bias for action, with a passion for shipping rapidly and iterating with feedback[Preferred] Specific experience with LLMs and agentic systems[Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance is a plusDeep ownership mindset, seeing projects through to completion and raising the bar for execution across the teamBS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience