Senior Software Engineer, Agentic Development

Posted Yesterday
Hiring Remotely in United States
Remote
Senior level
Fintech
The Role
Own and ship end-to-end production features using agentic development. Build and operate multi-agent workflows, validate agent output, work in brownfield and greenfield environments, pair with engineers to spread agentic practices, and maintain long-term quality and reliability of systems.
Summary Generated by Built In
 

Senior Software Engineer, Agentic Development

Solovis builds portfolio management and analytics software for institutional investors: the endowments, foundations, family offices, and asset managers responsible for some of the most complex capital in the world. We are backed by Insight Partners and growing fast, investing in product, people, and the technology that drives client outcomes. We've made a company-wide commitment to be AI-native by end of 2026. Not a pilot program, not a future roadmap item — an active transformation already underway across every team. Engineering is at the center of it.

We're building out our agentic development team and hiring engineers who are already working this way in production. If you've been ahead of your peers on this and want to be somewhere that matches your pace, this is worth a look.

Please note: Applicants must be authorized to work for any employer in the United States, including for any future work authorization needs (such as OPT/CPT). We are unable to sponsor or take over sponsorship of an employment visa at this time.


The Role

This is a hands-on engineering role. You own features end-to-end, ship production systems using agentic workflows as your default mode of work, and take genuine accountability for what you build — including when things break. You create your own momentum through strong requirements discipline, continuous validation of agent output, and a concrete understanding of when to push forward and when to stop and reset.

Your stakeholders are sophisticated. They expect quality, reliability, and engineers who think beyond the ticket. The best engineers here earn that trust quickly and build systems that last.


What You'll Do

  • Deliver features and modernizations across our stack using agentic development end-to-end
  • Build and operate multi-agent workflows where distinct roles run in parallel and in coordination
  • Work in brownfield environments with the same discipline as greenfield builds
  • Validate agent output and know when to intervene — grounded in how well requirements were set upfront
  • Pair with existing engineers to transfer agentic working habits through real production work
  • Contribute consistently to sprint delivery and take ownership of quality over time

What We're Looking For

Engineering Background

  • 5–9 years of professional software engineering experience
  • Strong fluency in Java or Python on AWS, or C# on Azure
  • Production ownership history: you've shipped non-trivial systems and been accountable when things went wrong
  • At least one significant out-of-depth experience — a stack switch, a domain change, or a greenfield build in unfamiliar territory

Agentic Development Experience

  • 6+ months of serious, production-grade agentic tool use (Claude Code, Cursor, or equivalent) — production work only, not pilots or experiments
  • Demonstrated ability to build product with AI, not just use AI within existing workflows
  • Concrete understanding of when to let an agent run versus when to intervene, grounded in how well requirements were established before the work started
  • Experience reviewing and validating work you did not write, including agent-generated output
  • Familiarity with building multi-agent frameworks where distinct roles operate concurrently

Who Won't Thrive Here

If you're looking for a role where the requirements are always airtight before work starts, agents are a nice-to-have, or someone else validates the output — this isn't it. This role requires comfort with ambiguity, genuine ownership over what you ship, and the discipline to know when to push forward and when to stop and reset.

We're not a team that protects engineers from accountability. If a system breaks, you're in it. If an agent produced something wrong and it shipped, that's on you too. We operate more like a gym than a spa — growth here is intentional and sometimes uncomfortable, and that's exactly how we like it.

If that's the environment where you do your best work, we want to talk.


Interview Process

We want this to be a great fit for both sides. After applying, you'll complete a short set of aptitude and personality assessments before connecting with a recruiter. Everyone goes through them, from interns to our CEO. The invitation will come from a member of our recruiting team — keep an eye on your inbox, and check your spam folder just in case.


 
 
 

Skills Required

  • 5-9 years of professional software engineering experience
  • Fluency in Java or Python on AWS, or C# on Azure
  • Production ownership history (shipped non-trivial systems and accountability for outages)
  • At least one significant out-of-depth experience (stack switch, domain change, or greenfield build)
  • 6+ months of production-grade agentic tool use (Claude Code, Cursor, or equivalent)
  • Demonstrated ability to build product with AI (not just use AI within workflows)
  • Experience reviewing and validating agent-generated or third-party output
  • Familiarity with building multi-agent frameworks where distinct roles operate concurrently
  • Authorized to work in the United States without sponsorship
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Charlottesville, VA
100 Employees
Year Founded: 2013

What We Do

Part of Nasdaq Asset Owner Solutions, Solovis is leading fintech innovation for institutional investors with a powerful cloud platform for multi-asset class portfolio management, reporting and analytics – uniquely designed for the asset owner community. Endowments, foundations, pensions, OCIOs and family offices leverage Solovis to transform how they collect and aggregate investment data, analyze portfolio performance, model and predict future outcomes and share meaningful portfolio insights with key stakeholders. The Solovis institutional investment management technology platform enables detailed analysis and dynamic data modeling across multiple portfolios and pools of capital for actionable, transparent insights that empower both operations and investment teams.

Similar Jobs

Jamf Logo Jamf

Development Engineer

Mobile • Software
Remote
US
2669 Employees
113K-206K Annually

TherapyNotes, LLC Logo TherapyNotes, LLC

Senior Software Engineer

Healthtech • Other • Software
In-Office or Remote
Philadelphia, PA, USA
85 Employees
110K-135K Annually
Easy Apply
Remote or Hybrid
10 Locations
225 Employees
35-42 Hourly

Runpod Logo Runpod

Senior Procurement Manager (Supply, Cloud Infrastructure)

Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Remote
USA
80 Employees
140K-180K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account