Mid-Level Software Engineer — Backend / integrations

Job title: Mid-Level Software Engineer - Backend / integrations



Employment type: Full-time



Location: New York, NY (Hybrid, typically 3 days/week on-site)



Seniority: 2 5 years of backend software engineering

About this role


Client is looking for a Mid-Level Software Engineer with 2 5 years of experience to build and maintain production-grade integrations and data pipelines for the AI platform for construction capital program owners.

The person should be a strong Python engineer with real, hands-on integration experience: making API calls at scale, handling rate limits, async processes, retries, and orchestration tools like Prefect, Dagster, Step Functions, or Airflow. This is a role for a self-starter who is excited to roll up their sleeves, maintain and support critical pipelines, and grow into designing systems over time.


They would join a lean, AI-native team of 20 that has increased engineering output 4 5x and is backed by $7.7M in seed funding from top-tier investors.

What the person will do


Build, extend, and maintain API integrations at scale - authentication, pagination, rate limiting, retries/backoff, idempotency, and error handling


Implement and operate orchestrated data workflows and pipelines using tools like Prefect, Dagster, AWS Step Functions, or Airflow


Support and maintain production pipelines day-to-day - investigating issues, improving resilience, and reducing repeat incidents


Deliver well-scoped backend projects from requirements through implementation, testing, rollout, and monitoring


Collaborate closely with senior engineers and Forward Deployed Engineers to translate field insights into durable, reliable product capabilities

Requirements



Dealbreakers - screen out if missing



Built and maintained production data/integration pipelines in Python (e.g., Prefect, Dagster, Step Functions, Airflow)



Bachelor's degree in Computer Science from a reputable university



Strong Python proficiency for backend services and data workflows


Based in or near New York City ; able to be in the Midtown office 3 days/week

Baseline - expected


2 5 years of experience in backend software engineering


Hands-on experience with API integrations at scale (rate limiting, retries, async, error handling)


Experience with workflow orchestration tools (Prefect, Dagster, Airflow, Step Functions)


Self-starter mindset - thrives in ambiguity

Nice-to-have


Worked at an early-stage B2B SaaS startup (seed to Series B)


Hands-on AWS experience (Lambda, Step Functions, ECS, SQS, CDK)

Technical Skills:



Language: Python



AWS: Lambda, Step Functions, ECS/Fargate, SQS, EventBridge, CloudWatch, CDK



Integrations: REST APIs, OAuth, Webhooks



Orchestration: Prefect, Dagster, Airflow



AI / automation : LLM/VLM APIs, Browser Automation / RPA



Frontend: Vue, React



Architecture: Serverless and event-driven (Lambda, Step Functions), REST APIs, microservices, databases, and automation tooling. Roughly 90% backend, 10% frontend.