Mid-Level Software Engineer

Location: New York City

Work Model: Hybrid - 2-3 days per week in office

Industry: B2B SaaS - data infrastructure for the construction sector

Compensation: $140K-$180K base

About the Company

Our partner is a venture-backed B2B SaaS company building a fully managed data platform for the owners of large capital construction projects. Their product sits between the project-management, financial and contractor systems these organizations already run, structures the data with a proprietary knowledge graph, and turns it into dashboards, document search, invoice review and automated workflows. Their customers are major public institutions, universities, health systems and household-name enterprises, and the business has tripled revenue over the past year on a team of roughly fifteen people.

The Opportunity

The engineering organization is being rebuilt for its next stage of scale, and this role sits at the center of that work. You will start by taking a large-scale application migration across the finish line — the team has spent months re-architecting the product so it is simpler, cheaper to maintain and far easier for modern AI tooling to reason about, and roughly ninety percent of that work is done.

From there you will move into the newer half of the roadmap: an agentic automation platform built on an internal system that trains agents to run construction-specific workflows faster and more cheaply, or the data-connection layer that ingests and normalizes information from dozens of external systems. Either path is the same core skill set — orchestration, integration and data movement at real scale. You will report directly to the CTO on a small team, which means unusual visibility and a short path from decision to production.

Responsibilities

Complete the migration of the core application to its new architecture, working closely with the CTO

Build and maintain integrations that ingest structured and unstructured data at scale from external project, financial and contractor systems

Design and operate orchestration and workflow-automation pipelines in Python

Contribute to an agentic automation platform, including the systems that train and optimize agents for domain-specific tasks

Participate in code review and lightweight system design across a small, fast-moving engineering team

Own problems end to end in an environment where processes are still being built

Requirements

2-5 years of professional software engineering experience

Strong Python skills

Hands-on experience with data ingestion at scale

Experience with orchestration tooling such as Prefect, Dagster or Step Functions, ideally having built such systems rather than only consuming them

Demonstrated experience integrating and connecting disparate software systems

B2B SaaS engineering background

A degree in Computer Science or a closely related field

Based in the New York City area or willing to relocate, and able to work a hybrid schedule of 2-3 days per week in office

A stable track record, with the technical depth to discuss past work in specific detail