Software Engineer, AI Engineer, Data Engineer

This range is provided by TIFIN. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

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Direct message the job poster from TIFIN

TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale—without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include:

• Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months)
• Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel
• Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI.
• World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, Pay Pal, eBay, Techstars, Black Rock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more.

OUR VALUES:
Go with your GUT

• Grow at the Edge. We are driven by personal growth fueled by a beginner’s 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.

As a member of our Engineering team, you will play a critical role in development and delivery across one of multiple generative AI product lines. You will be a core contributor to our product development, building backend services and fullstack features that power data-driven financial experiences. You will work end-to-end — from architecture and systems design to coding, testing, and deployment — building and scaling data-heavy AI and software products.

You’ll have end-to-end ownership, collaborating with product, engineering, and machine learning peers to ship scalable, secure, and reliable features. Success in this role requires strong backend and infrastructure skills, an ability to work across data pipelines and AI integrations, and a track record of shipping products in fast-paced environments.

PROJECTS

• AI Agent Orchestrator: Multi-agent systems that automate tasks and streamline workflows, driving measurable improvements in operational efficiency.
• Human-in-the-Loop
  
  Collaboration:
  
  AI-powered co-pilot for advisors and other user personas, streamlining workflows across business workflows such as prospecting, conversion, onboarding, and client servicing.
• Data Infrastructure: Event streaming architecture to load data into a Customer Data Platform, optimization of data loading from a wide variety of data sources.
• Seamless Legacy Tech Integration: Designed to navigate and optimize legacy systems for streamlined operations with computer use models.

WHAT YOU'LL DO

• Design and implement backend systems, infrastructure, and data pipelines powering generative AI products.
• Actively code and review across Python, Type Script, and related technologies, maintaining high standards of quality and performance.
• Partner with product management, data/AI teams, and Dev Ops to deliver scalable, reliable, and secure solutions.
• Make key architectural decisions on system design, cloud infrastructure, and data flow, balancing scalability and efficiency.
• Solve complex technical problems, serving as a go-to resource for backend and data infrastructure challenges.
• Contribute to roadmap discussions with the CTO, providing technical insight into build vs. buy decisions and system investments.
• Continuously…