Fullstack Software Engineer / AI / Machine Learning

A Chicago-based investment firm is hiring a full-time Software Engineer to join an internal engineering group that works directly inside high-growth technology companies. This role focuses on building and operating modern software systems across cloud infrastructure, web applications, data pipelines, and AI-enabled workflows. Engineers are full-time employees and collaborate closely with operators and founders during critical scale phases.

This is not a traditional engineering role and not a consulting position. Engineers are embedded on the ground, solving real problems that directly affect company growth, manufacturing, logistics, or customer experience. The team is made up of experienced builders who value ownership, execution, and humility. If you want exposure to elite operators, real production challenges, and meaningful business impact - this role offers a rare learning curve and long-term career leverage., Tech Breakdown

• 40% Backend and API development (Python-based services)
• 25% Frontend development (React or similar frameworks)
• 20% Cloud infrastructure, CI/CD, and production operations
• 15% Data, analytics, and AI-enabled workflows

Daily Responsibilities

• 70% Hands-on engineering and delivery
• 10% Architecture and technical planning
• 20% Collaboration with operators, stakeholders, and other engineer

The Offer

• Bonus and Equity eligible

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options

• 3+ years of professional software engineering experience
• Strong proficiency in Python and JavaScript or TypeScript
• Experience building modern web applications using React or similar frameworks
• Hands-on experience designing and consuming REST APIs
• Solid SQL skills and experience with relational databases
• Experience deploying and operating services in a cloud environment (GCP, AWS, or Azure)
• Familiarity with CI/CD, infrastructure-as-code, and production monitoring

Desired Skills & Experience

• Experience with data pipelines, ETL processes, or distributed systems
• Exposure to Spark, Kafka, Airflow, or dbt
• Experience integrating AI or LLM-based features into applications
• Comfort working directly with non-technical stakeholders
• Willingness to travel up to 40-50% depending on deployment needs

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance
• Stock options