Senior Software Engineer (Customer Facing Applied AI)

Addepar; City of Edinburgh; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Equity

Global Hybrid Workforce

Flexible Time Off

Comprehensive benefits

Learning & Development Allowance

Dynamic team

Job summary

Addepar, Inc. is seeking an Applied AI Engineer to work embedded with strategic clients to identify AI opportunities, prototype quickly, and ship capabilities as production features.

You will build agentic systems end-to-end, design agent behavior, and integrate tools while collaborating closely with clients and core engineering teams to scale solutions globally.

Qualifications

• Extensive professional software engineering experience.
• Experience building agentic systems from zero to production.
• Experience with AI-assisted development tools (Claude Code, Codex, or similar).
• Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs.
• Comfort with SQL for data exploration and building data-grounded AI workflows.
• Proven track record delivering client-focused AI solutions.

Responsibilities

• Build agentic systems from idea through production.
• Understand client workflows and prototype quickly, then ship to production.
• Design agent behavior and wire tool integrations; tune evaluations.
• Collaborate with clients to validate AI behavior and iterate toward production quality.
• Develop LLM integrations including prompt engineering, function calling and structured outputs.
• Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous.
• Partner with core engineering to generalize client work into product features.
• Contribute to shared AI infrastructure and deployment pipelines.
• Monitor and maintain production AI systems with focus on reliability and cost.

Skills

Python

SQL

LLM APIs

Cloud AWS

Prototype to production

Agent orchestration

Multi-step tool use

Durable workflows

Client communication

Education

BS/MS in Computer Science, Mathematics, or quantitative field

Tools

Claude Code

Codex

Claude

GPT

Job description

• The Applied AI team works embedded with Addepar’s strategic clients to figure out where AI can change how they work and then build those capabilities from scratch
• You’ll spend time understanding a client’s world, identify what’s worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers
• As an Applied AI Engineer, you’ll build agentic systems from idea through production
• The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration
• You’ll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice
• You’ll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast
• The team is new
• Your work shapes what we ship
• Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production
• Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows
• Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific
• Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality
• Partner with core engineering teams to generalize client-specific work into product features
• Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines)
• Monitor and maintain production AI systems with attention to reliability, cost, and performance

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

This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements

• Extensive professional software engineering experience
• You’ve built something from zero to one. You’re drawn to figuring out what to build, not just building what’s specified
• Experience with AI-assisted development tools (Claude Code, Codex, or similar)
• Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs
• Comfort with SQL for data exploration and building data-grounded AI workflows
• You see projects through from prototype to production and care about what the client experiences, not what the code does
• A bias for action. You ship quickly, learn from feedback, and iterate
• Professional experience with Python (the team’s primary language)
• BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience
• Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows)
• Experience with additional backend languages (Java is valuable in our environment)
• Familiarity with financial data (portfolios, transactions, securities, accounting)
• Exposure to cloud infrastructure (AWS) and container-based deployments
• Experience with evaluation frameworks or methodologies for measuring AI system quality