Staff AI Engineer

WHO WE ARE

TIFIN builds the AI operating layer for wealth. Our platform delivers agentic workflows across the industrys core personasinvestors advisors investment teams and operationsso financial institutions can move faster serve more clients and deliver better outcomes with the same (or fewer) resources. We combine finance-native AI specialized data and enterprise-grade controls to deploy secure compliant capabilities into real production environments.

WHAT SETS US APART

• Speed: We build and ship quicklyMVPs in 3 months production-ready products in 612 months.
• Track Record: Prior exits include 55ip (acquired by J.P. Morgan) and Paralel Technologies
• Strategic Partners: Partners include J.P. Morgan SEI Franklin Templeton Morningstar Broadridge Motive Partners and Tectonic Ventures.
• World-Class Team: Complimentary expertise across AI and financial services with experience from Google Microsoft Uber PayPal eBay BlackRock LPL Franklin Templeton Morgan Stanley Broadridge and more.

OUR VALUES

• Grow at the Edge. We are driven by personal growth fueled by a beginners mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
• Understanding through Listening and Speaking the Truth. We communicate with authenticity precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team.
• I Win for Teamwin.We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better.

ROLE OVERVIEW

As we scale our AI platform we are building production-grade multi-agent systems that power advisor copilots investment intelligence workflows and autonomous research capabilities. We are seeking a Staff AI Engineer to architect build and operationalize these systems at scale. This is a hands-on high-impact engineering role focused on shipping reliable enterprise-ready agentic AI systems into production.

PROJECTS

• Advisor Copilot (Multi-Agent Systems)
  Build a production-grade multi-agent copilot for financial advisors that retrieves and reasons over client data analyzes portfolio exposures and risk scenarios generates personalized insights enforces compliance guardrails and drafts client-ready communications all within a monitored auditable architecture.
• Workflow Automation
  Design end-to-end AI workflows spanning client discovery investment research synthesis portfolio construction and optimization and compliant meeting preparation replacing fragmented tools with intelligent autonomous systems.
• AI Agent Platform & Infrastructure
  Architect a scalable multi-agent platform with orchestration engines memory and state management dynamic tool invocation structured output validation observability fault tolerance and automated evaluation solving reliability explainability and regulatory challenges at scale.

WHAT YOULL DO

• Design and implement production-grade multi-agent systems using modern agent frameworks (e.g. Pydantic AI Agent Harness Tool-Calling Code Execution)
• Build agent workflows that integrate context retrieval reasoning tool execution validation and compliance checks
• Develop distributed services for agent execution with strong observability monitoring and failure handling
• Establish evaluation frameworks for multi-step reasoning accuracy groundedness hallucination mitigation and financial correctness
• Implement memory management context handling and agent state persistence strategies
• Partner with product design and engineering teams to translate business requirements into robust agent architectures
• Optimize systems for latency cost efficiency and reliability in production
• Contribute to infrastructure decisions around model serving vector databases caching and orchestration layers

WHAT YOULL BRING

• 3 years of experience building and shipping Generative AI and LLM applications into production 6 years of ML experience.
• Demonstrated experience designing and deploying multi-agent systems of various architecture
• Strong experience with multimodal LLMs knowledge graph data synthesis LLM fine tuning reinforcement learning agent harness agent memory
• Deep proficiency in Python and modern AI frameworks
• Experience with distributed systems cloud infrastructure (AWS/GCP/Azure) and containerized deployments
• Experience implementing monitoring evaluation and reliability safeguards for AI systems
• Strong systems thinking ability to design beyond single-model solutions toward coordinated multi-component architectures
• Resilience and adaptability - experience working at early-stage startups is a plus

COMPENSATION RANGE

$200000 - $275000 USD competitive and appropriate to experience level

In addition to cash compensation a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health dental and vision coverage retirement benefits and flexible PTO.

TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race national origin religion age color sex sexual orientation gender identity disability or protected veteran status.

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