Summary
✨ AI‑Generated
A mid-level software engineering role focused on building and maintaining production-grade API integrations and data pipelines. You will work on authentication, reliability, scalability, workflow orchestration, and operational data systems within a lean, AI-oriented engineering environment. The position combines technical ownership with hands-on implementation.
Highlights
Production-focused engineering work on scalable integrations and data infrastructure, meaningful equity, exposure to AI-native development, and ownership within a lean engineering team.
Description
🚀 Mid-Level Software Engineer — Gryps
📍 Location: New York, NY
🏢 Work Type: Hybrid — 3 days/week in-office (Midtown Manhattan)
💼 Job Type: Full-time
💰 Salary: $140K–$160K + Competitive Equity
🇺🇸 Visa: US Citizens & Green Card holders only — no visa sponsorship
About Gryps
Gryps is an AI platform for construction capital program owners.
We're looking for a Mid-Level Software Engineer with 2–5 years of experience to build and maintain production-grade integrations and data pipelines.
You'll join a lean, AI-native team of around 20 people that has significantly increased engineering output through AI-native development and is backed by $7.7M in seed funding from top-tier investors.
What You'll Do
• Build, extend, and maintain API integrations at scale, including authentication, pagination, rate limiting, retries/backoff, idempotency, and error handling
• Implement and operate data workflows and pipelines using Prefect, Dagster, AWS Step Functions, Airflow, or similar tools
• Support and maintain production pipelines, investigate issues, improve resilience, and reduce repeat incidents
• Deliver backend projects from requirements through implementation, testing, rollout, and monitoring
• Collaborate with senior engineers and Forward Deployed Engineers to turn field insights into reliable product capabilities
Requirements
Must Have:
• 2–5 years of backend software engineering experience
• Bachelor's degree in Computer Science from a reputable university
• Strong Python proficiency for backend services and data workflows
• Hands-on experience building and maintaining production data/integration pipelines in Python
• Experience with API integrations at scale, including rate limiting, retries, async processes, and error handling
• Experience with workflow orchestration tools such as Prefect, Dagster, Airflow, or AWS Step Functions
• Based in or near New York City and able to work in-office 3 days per week
Nice to Have
• Experience at an early-stage B2B SaaS startup (Seed–Series B)
• Hands-on AWS experience with Lambda, Step Functions, ECS/Fargate, SQS, CDK, or related services
• Experience with AI/ML, agentic systems, NLP, data ingestion, ETL/ELT, or knowledge graphs
Tech Stack
Python • AWS Lambda • AWS Step Functions • AWS ECS/Fargate • AWS SQS • AWS EventBridge • AWS CloudWatch • AWS CDK • REST APIs • OAuth • Webhooks • Prefect • Dagster • Airflow • LLM/VLM APIs • Browser Automation/RPA • Vue • React
Ideal Backgrounds
We're particularly interested in candidates with backgrounds in:
AI/ML Startups: Hebbia, Glean, Vectara, Unstructured, LlamaIndex, Cohere, Weights & Biases, Anyscale, Modal Labs
Data Platform / Knowledge Graph: Neo4j, Palantir, Databricks, Fivetran, Airbyte, dbt Labs, Dagster Labs, Prefect, Snowflake, RelationAI
Who This Role Is For
We're looking for hands-on engineers who enjoy building, maintaining, and improving production systems.
This is a great fit for someone who wants to grow into system design and architecture while remaining close to implementation and day-to-day engineering.
We'd especially like to hear about your experience with production integrations, data pipelines, workflow orchestration, and Python backend development.
📩 Interested? Apply through LinkedIn or reach out directly to learn more.
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