Graduate Software Engineer | Python | AWS | Postgres | Computer Science | Hybrid, New York

Enigma (New York NY, USA) Follow 3 hours ago

*US CITIZEN'S AND GREEN CARD HOLDERS ONLY*

Mission

We’re building software to help operationally intensive businesses grow and scale. These businesses often form the backbone of the economy, yet many still rely on fragmented legacy systems and disconnected data.

A major challenge in these industries is that valuable operational data exists across many different formats and systems — databases, spreadsheets, PDFs, emails, exports, and third-party tools — making it difficult to access, unify, and use effectively. Even when the data is available, teams often lack the time or technical expertise to turn it into actionable insights.

Recent advances in AI and Large Language Models (LLMs) have made it possible to structure and interpret messy real-world data in ways that are accessible to non-technical users. Our goal is to use these technologies to help businesses make better decisions, improve efficiency, and unlock growth through data.

We are backed by leading global investors.

The Role

We’re hiring a Graduate Software Engineer to join us at an exciting early stage. You’ll work closely with experienced engineers and company leadership to help build the systems powering our AI-driven products.

This role is ideal for someone early in their career who is highly technical, ambitious, and eager to learn quickly. You’ll gain exposure to production systems, customer data pipelines, backend services, AI workflows, and the realities of building software for industries that have historically been underserved by modern technology.

You won’t just work on isolated tasks — you’ll take ownership of meaningful engineering problems from the start, with mentorship and support as you grow.

Some of the challenges you’ll help tackle:

Build backend services and APIs that power AI and analytics products
Work on data pipelines that ingest, clean, transform, and structure customer data
Integrate with real-world customer systems such as databases, CSV exports, SFTP folders, legacy platforms, and third-party APIs
Improve data quality and reliability across the platform
Support ETL/ELT workflows feeding analytics dashboards and AI models
Work with cloud infrastructure, databases, and deployment workflows
Collaborate on technical decisions, product direction, and customer problems
Learn how to build scalable, reliable AI-powered software in production

You’ll join a small, fast-moving team where you can learn quickly, take on real responsibility, and help shape the engineering culture from the ground up.

About You

Degree in Computer Science or a related field from a strong university
At least one software engineering internship or equivalent practical experience
Highly driven and enjoy building and prototyping — side projects, open source contributions, or experiments are a plus
Hackathon participation or strong technical competitions are a bonus
Comfortable owning problems end-to-end in a fast-moving environment
Excited about working with modern AI technologies and LLMs

How We Work

We are deeply customer-focused and aim to deliver measurable value
We move quickly and value ownership
We care about real-world impact over vanity metrics
We encourage open discussion, curiosity, and continuous improvement
We collaborate across functions and do what’s needed to achieve our goals
We embrace ambitious challenges and operate with a startup mindset
We care about building a supportive, enjoyable, and high-growth environment for our team

Apply Now

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