About Vornoy

Vornoy is a SaaS platform incubated within Greenleaf Partners, a finance and analytics consultancy focused on helping early-stage startups and middle-market companies. We provide experience-based insights and sophisticated analytical tools that empower founders and executive teams to optimize their businesses. Now in our seventh year, we are a strongly profitable company with a rapidly growing team and client roster.

Our diverse client base includes consumer-facing brands, media businesses, and service-sector companies. Our finance practice focuses on strategic finance, FP&A, and operational finance. Our analytics practice includes customer, inventory, revenue, and marketing analytics, as well as general data science.

About the Role

We are looking for a Software Engineer II to help build and improve the Vornoy platform. This role is a great fit for an engineer with a few years of experience who enjoys working across the stack and wants to grow quickly in a fast-moving startup environment.

You will work closely with senior engineers and product leaders to implement new features, improve existing functionality, and help maintain the reliability and performance of our client-facing platform.

Responsibilities

Platform Development

Build and maintain features within the Vornoy client portal
Contribute to improvements in performance, usability, and reliability
Assist with refactoring and maintaining existing codebases
Participate in code reviews and development best practices

AI Features

AI-powered features are an emerging part of the Vornoy roadmap, with RAG-based functionality planned on top of our client data. This area will grow over time, and engineers on the team will have meaningful opportunity to shape how it’s built.

Contribute to the design and implementation of RAG-based features within the platform
Help integrate LLM calls into product workflows, including prompt design and output handling
Assist with evaluating and improving the quality, reliability, and cost-efficiency of AI responses
Contribute to monitoring performance and usage of AI components as they ship

Data & Systems Integration

Help build and maintain integrations with external data sources and financial systems
Support backend services that power reporting and analytics
Assist with debugging data pipelines and resolving data issues

Collaboration

Work closely with product, analytics, and finance teams to understand feature needs
Participate in sprint planning, standups, and engineering discussions
Document technical work and contribute to internal knowledge sharing

Qualifications

Required

2–4 years of software engineering experience
Strong backend development skills in Python (FastAPI experience a plus)
Frontend experience with React; TypeScript, Redux, and hooks/functional components preferred
Experience with cloud infrastructure, preferably AWS
Familiarity with REST APIs, database design, and data modeling (Postgres preferred)
Experience building or maintaining data pipelines and ETL workflows. Experience with Kafka, Spark, and ClickHouse is preferred, but strong experience with comparable tools (e.g., Databricks, Snowflake, DuckDB, Parquet, dbt, Airflow) is equally welcome — we care more about depth in the space than about any specific stack
Working conceptual understanding of modern LLMs — e.g., how transformer-based models work at a high level, what context windows and tokenization are, why models hallucinate, and the basic shape of prompting and tool use
US-based

Preferred

Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude) to write, review, debug, or refactor code
Applied experience integrating LLMs into a product — e.g., building against the OpenAI, Anthropic, or similar APIs, working with RAG, or designing prompts and evals in a real application
Experience working on SaaS or data-focused applications
Interest in finance, analytics, or data products

Confidential jobs

Software Engineer