Company Overview

Our client is redefining the wealth technology landscape by delivering a single, trusted platform that brings total clarity to even the most complex ultra-high-net-worth portfolios. Founded in 2010 from within a multigenerational family office, the company built its platform from the ground up to solve real-world wealth management challenges, giving it an inherent depth of domain expertise that competitors cannot replicate. Today, with over 10,000 users across 35 countries and more than 7 million daily transactions processed through 650-plus direct custodian data feeds, the firm has earned recognition as a global leader in its category and continues to attract the world’s most sophisticated family offices, private banks, and wealth advisors who demand security, accuracy, and transparency. Guided by core values of innovation, integrity, client centricity, and a one-team culture, the company is now expanding its AI engineering team to accelerate a bold product vision and cement its position as the operating system of modern wealth management.

Position Overview

This is a rare opportunity to build production AI systems that directly shape how the world’s most complex wealth is managed, reported, and understood. As a Senior AI Engineer, you will sit at the intersection of cutting-edge applied AI and a domain where accuracy, trust, and security are paramount, giving your work an outsized real-world impact that few engineering roles can match. Three compelling selling points stand out for serious candidates: first, you will own the full lifecycle of AI feature delivery, from architecture through production operation, with the autonomy and organizational support to set engineering standards that ripple across the entire platform. Second, the company’s AI roadmap is actively expanding with meaningful investment in document intelligence, agentic workflows, and conversational AI, meaning this role is positioned at the center of the firm’s most strategic growth initiatives. Third, you will be building in a data-sensitive, regulated environment that demands rigorous engineering judgment, which is the kind of career-defining challenge that accelerates professional growth far beyond what greenfield experimentation roles can offer. This position carries high visibility with product and engineering leadership and is a foundational hire as the firm scales its AI capabilities globally.

Position Responsibilities

• Design, build, and ship production-grade AI-powered features in Python, including document intelligence, summarization, extraction, classification, and action-oriented workflows that directly serve clients.

• Architect and implement LLM-based systems using tool and function calling, structured outputs, retrieval patterns, and multi-step agentic behavior appropriate to each use case.

• Develop grounded, trustworthy AI experiences by selecting the right mix of models, APIs, structured data, citations, and verification strategies to ensure reliability and accuracy.

• Build safe and secure execution patterns for AI systems, including sandboxed code environments, permission-aware tooling, and controls around sensitive financial data operations.

• Drive production readiness through testing, evaluation frameworks, prompt and workflow versioning, latency optimization, streaming, caching, fallback strategies, and cost discipline.

• Deploy and operate cloud-hosted services with strong monitoring, alerting, logging, and incident response practices on Azure infrastructure.

• Establish reusable internal patterns for tools, workflows, evaluation, and safe AI execution that enable the broader engineering organization to deliver AI capabilities faster and more safely.

• Collaborate closely with Product and Engineering partners to shape solutions from initial concept through production launch.

• Mentor engineers and contribute to architecture decisions, code quality standards, and technical best practices across the team.

Position Qualifications

Required

• Track Record: A demonstrated history of shipping production AI systems with measurable quality, reliability, and operational maturity in data-sensitive or regulated environments.

• Experience: A minimum of 5 years of software engineering experience, including 3 or more years building and operating production services in Python with strong fundamentals in system design, testing, CI/CD, and code review.

• LLM Application Development: Hands-on experience building LLM applications using prompting, tool and function calling, structured outputs, orchestration frameworks, and guardrails in a production setting.

• Cloud Engineering: Proven experience designing and deploying cloud-native services on Azure, AWS, or GCP, with an emphasis on observability, reliability, and cost efficiency.

• Integration Expertise: Experience connecting LLM systems to tools, APIs, data sources, and validation or verification pipelines to ensure grounded and trustworthy AI behavior.

Preferred

• Azure Ecosystem: Familiarity with Azure services including Azure OpenAI, Azure AI Search, Azure Functions or Durable Functions, Key Vault, Storage, Service Bus, and Azure SQL.

• Agentic Systems: Experience building multi-step agentic workflows with subagents and permissioned tool use using LangGraph, LangChain, or similar orchestration frameworks.

• Evaluation Frameworks: Experience designing LLM evaluation systems including golden sets, regression testing, scoring pipelines, and release gates.

• Document Intelligence: Familiarity with structured extraction, schema validation, and enrichment pipelines for document processing at scale.

• Collaborative Mindset: A genuine commitment to mentorship, knowledge sharing, and elevating the engineering team around you in a fast-paced, high-ownership environment.

If you are ready to make an impact and take your career to the next level, we would love to hear from you. Apply now and a member of Talentfoot’s recruitment team will be in touch should your track record of success, experience, skills, and qualifications match our client’s requirements.

About Talentfoot

Talentfoot Executive Search specializes in future-proofing organizations by securing forward-thinking leaders across sales, marketing, eCommerce, product, data, operations, finance, and technology with a track record of accelerating growth, innovation, and profitability. Since 2010, we have partnered with more than 2,500 companies and lead the industry with a 98% client success rate. Learn more at Talentfoot.com.