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Ascent Developer Solutions

Private lending platform for real estate developers

Forward Deployed Engineer 2

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeEncino, Los Angeles, CA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • Three to five years of professional software engineering experience, including systems relied on daily by non-technical business users.
  • Production experience with Python or TypeScript, SQL, and REST API integrations.
  • Hands-on experience shipping LLM-based features to production, including tool use, structured outputs, document extraction, retrieval, and evaluation.
  • Daily use of AI coding tools, with the discipline to review and test their output.
  • Experience designing agent loops that act, check results against clear goals, and stop or hand off to a person at the right point.
  • Ability to conduct discovery with business users and turn it into clear process maps and specifications.
  • Ability to design for the whole process rather than only the immediate task.
  • Sound security habits, including least-privilege access, secrets management, logging, and safe handling of sensitive personal and financial data.
  • Ability to explain technical tradeoffs to business partners and executives.
  • High ownership and comfort starting from an incomplete problem statement.

Responsibilities

  • Embed with assigned business teams to learn their work, including systems, documents, decisions, and handoffs, by working alongside the people performing it.
  • Map each workflow end to end, including inputs, systems, decision rules, handoffs, exceptions, and upstream and downstream connections; keep the maps current as the source of truth.
  • Identify and size automation opportunities by hours saved, error reduction, and risk, and agree on priorities with department leadership and the Head of Technology.
  • Write build-ready specifications for Platform Engineering, including data requirements, business rules, edge cases, and acceptance criteria, for work belonging in the core lending platform, and co-ship it.
  • Work with Platform Engineering to ensure automations use the existing platform’s shared data, integrations, identity, and monitoring, and turn recurring patterns into reusable components.
  • Build and ship production automations across lending workflows using Python or TypeScript, APIs, and LLM-based agents.
  • Design each agent workflow as an engineered loop with a clear goal, appropriate tools, verification against expected results, defined stop conditions, and a human checkpoint when a decision requires one.
  • Take every automation through the security and AI governance gate, including sandboxed development, least-privilege agent identities, audit logging, human review of outputs affecting loan decisions, and independent security review before production.
  • Measure each automation against a pre-launch baseline and report the results.
  • Drive adoption by training users, updating procedures so each automation becomes standard work, and resolving issues after launch.
  • Monitor and support shipped automations and maintain runbooks to help business teams handle exceptions.
  • Partner with Data & Analytics on data definitions, field-identified data-quality issues, and automation metrics.
  • Follow engineering standards, including version control, code review, automated testing, and change management.
  • Protect borrower data in line with GLBA, company security policies, and the AI Use Policy, and raise risks early.
  • Evaluate AI tools and vendors when appropriate and recommend whether to build or buy.
  • Keep workflow maps, specifications, runbooks, and change logs current to ensure each automation can be maintained and handed off.
  • Rotate to a new department once the current department’s automations are stable and documented.
  • Provide regular progress, blocker, and results updates to department leaders and the Head of Technology.

Desired Qualifications

  • Experience with agent frameworks.
  • Consulting, solutions engineering, internal tools, or business systems experience.
  • Experience in lending, real estate finance, or another regulated financial services environment.
  • Experience with OutSystems or another low-code platform, Microsoft 365/SharePoint, and Jira.

About the Company

Ascent Developer Solutions

Private lending platform for real estate developers

Ascent Developer Solutions provides private lending and institutional debt financing for top-tier residential developers and investors, offering short-term secured loans for acquisition, renovation, construction, and post-completion bridge financing. Loans are tailored to each project using proprietary data tools and insights, with terms and conditions customized rather than one-size-fits-all. Borrowers receive upfront funding against the project collateral, repay with interest over a short period, and pay origination and other fees as part of the loan. The goal is to support housing development by delivering flexible, project-specific capital that helps developers acquire, renovate, build, and bridge properties to market more efficiently, setting it apart from competitors through a data-driven approach.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Los Angeles, CA
Founded
2024

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