AI Engineer, TIFIN
$200-275k
+ Equity Stake
More information about location
Office located in Boulder, CO
Creating companies to improve wealth outcomes
Open for applications
Creating companies to improve wealth outcomes
201-500 employees
Open for applications
$200-275k
+ Equity Stake
More information about location
Office located in Boulder, CO
201-500 employees
Company mission
To make investing a more powerful driver of financial well-being.
Role
Who you are
- 3+ years of experience building and shipping Generative AI and LLM applications into production, with demonstrated experience designing and deploying multi-agent systems, including LangGraph or comparable orchestration frameworks and ReAct-style deep-agent reasoning loops
- Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning
- Deep proficiency in Python, with experience in distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments
- Experience implementing evaluation frameworks, benchmarking, and LLM-as-judge pipelines, along with monitoring and reliability safeguards for AI systems
- Strong systems thinking, an ability to design beyond single-model solutions toward coordinated, multi-component architectures
- Resilience and adaptability, driven by a desire to build state-of-the-art AI that drives better wealth outcomes for more people
- Candidates must be authorized to work in the US without sponsorship
What the job involves
- Our north star is delivering better wealth outcomes for more people. We’re building production-grade multi-agent systems that power advisor copilots, investment intelligence workflows, and autonomous research capabilities
- Our AI Engineers architect, build, and operationalize these systems at scale, pushing the boundaries of what agentic AI can do. We’re hands-on engineers focused on shipping reliable, enterprise-ready agentic AI systems into production
- Design and implement production-grade multi-agent systems and ReAct-style reasoning loops using modern agent frameworks and orchestration engines (e.g., LangGraph, Pydantic AI, Agent Harness, Tool-Calling, Code Execution)
- Build agent workflows that integrate RAG-based retrieval, agent memory, and knowledge graphs for grounded, long-horizon reasoning, fine-tuning models where prompting and retrieval alone fall short
- Establish evaluation and benchmarking frameworks, including LLM-as-judge pipelines, for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness
- Design and enforce AI governance — audit trails, guardrails, and human-in-the-loop checkpoints — appropriate to a regulated industry
- Develop distributed agent services with strong observability and failure handling, and optimize latency, cost, and infrastructure decisions across model serving, vector/graph databases, and caching
- PROJECTS:
- Agent Advisor Copilot. Build a production-grade, multi-agent copilot for financial advisors that retrieves and reasons over client data using RAG and a persistent knowledge graph of clients and holdings, analyzes portfolio exposures and risk scenarios, generates personalized insights, enforces compliance guardrails, and drafts client-ready communications — all within a monitored, auditable architecture graded by automated evals and LLM-as-judge review
- Deep Research & Workflow Agents. Design end-to-end AI workflows spanning client discovery, investment research synthesis, portfolio construction and optimization, and compliant meeting preparation — powered by deep research agents that reason over live web and internal data in ReAct-style loops — replacing fragmented tools with intelligent, autonomous systems
- Agentic Infrastructure & Reasoning Stack. Architect a scalable multi-agent platform on LangGraph-style orchestration, with agent memory and state management, dynamic tool invocation, model fine-tuning pipelines, structured output validation, observability, fault tolerance, and automated evaluation — solving reliability, explainability, and regulatory challenges at scale
Our take
Increases in the range of apps available for investors of any experience level are resulting in wealth and asset managers facing rising demands for personalised financial experiences. Investors seek tools that use data analytics to facilitate these personalised insights, but this is difficult to provide without the right technology and data science.
TIFIN provides a fintech platform that uses data science and artificial intelligence to provide personalised investment experiences. The platform offers investment management advice and tools to asset managers, allowing them to transform their clients' businesses to be more efficient, profitable and future-proof.
With so many investment platforms on the market, TIFIN has made a smart decision by pulling together innovative tools into a wealth management platform, as opposed to starting a new investment platform itself. The company has experienced remarkable growth, forged strategic partnerships and successfully secured funding. It is now pursuing international expansion, beginning in India.
Freddie
Company Specialist at Welcome to the Jungle
Insights
131% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Feb 2024
$10m
LATE VC
May 2022
$109m
SERIES D
Total funding: $237.7m
Company benefits
- Performance linked variable compensation, including equity
- Medical, dental, vision, life and disability insurance
- 401k Retirement Account through Empower Retirement
- Flexible PTO policy and Company-paid holidays
- Corporate Social Responsibility and volunteering opportunities
- Fully stocked office kitchens
- Access to our Chief Mindfulness Officer, including 1:1 personal coaching for executives and rising stars
- Company sponsored events like Qi Gong, Lunch & Learns, Development Workshops, Dinners, Happy Hours, and more!
- Parental leave: 12 week paid maternity, 4 week paid paternity leave
Company HQ
Boulder Junction, Boulder, CO
Leadership
Vinay Nair
(Founder, Chair & CEO)Having studied at NYU, they started working as a Fellow of Wharton Financial Institutions Center and founded 55ip, Clout, Positivly and Magnifi. They used this startup experience to found THE TIFIN GROUP in November 2018.
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