Software Engineering Intern, Applied AI

Envita Solutions, LLC; Indianapolis (IN); On-site; USD 25,000 - 29,000; Full time

Job summary

Envita Solutions is seeking a Software Engineering Intern to join our Digital Innovation team for the summer. You’ll help build and operate AI-powered applications for document processing, knowledge retrieval, and workflow automation that support Envita's operations and sustainability mission.

This internship emphasizes reliability, readability, and maintainability of code, with exposure to LLM-based systems in production, data quality, observability, testing, and integrations.

Qualifications

• Experience writing Python for real applications (scripts, services, data pipelines, or tools) beyond coursework exercises.
• Experience consuming or building REST APIs and/or webhook-based integrations.
• Familiarity with Git-based workflows (branching, pull requests, code review) through coursework, internships, or personal/open‑source projects.
• Exposure to LLM tooling preferred: prompt engineering, LLM APIs, agent frameworks (e.g., LangGraph, Claude Code, or similar), or RAG / vector search / embeddings.
• Coursework or project experience in machine learning, databases, or data engineering is a plus.

Responsibilities

• Profile, clean, deduplicate, and normalize the structured and unstructured datasets that feed our AI applications; write repeatable scripts and validation checks so improvements persist.
• Logging, error handling, and monitoring across Python and C# services and data pipelines to make issues easier to diagnose and system behavior measurable.
• Build and harden integrations using REST APIs, webhooks, and scripting to connect internal systems, data sources, and AI services.
• Refactor existing code, add automated tests, improve documentation, and work through backlog items that keep our AI systems maintainable.
• Contribute to LLM-based features such as structured data extraction from documents, retrieval (RAG / vector search), and agent workflows.

Skills

Python

SQL

Git

LLM tooling

Problem solving

Education

CS/Software degree

Tools

Azure

GitHub

Docker

Job description

Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner. The company is dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita Solutions operates in the U.S., Mexico, and Canada, has over 300 employees, and a network of over 3,000 supplier partners. A division of The Heritage Group, Envita Solutions is part of a portfolio of more than 30 companies specializing in heavy construction and materials, environmental services, and specialty chemicals. With unique access to research and development and a leading hard tech corporate venture capital portfolio, Envita Solutions is at the forefront of waste and climate challenge innovation. At Envita, our guiding principles are the foundation of our company. Our vision is to foster a healthier planet by transforming complex waste challenges into sustainable solutions. We exist to protect human health and the environment and build a safer, more sustainable world. We believe in creating enduring value, building long-term relationships and mutual trust, betting on our people, keeping our eyes open for opportunity, tackling the big problems, and doing the right thing-always.

We are seeking a Software Engineering Intern to join Envita's Digital Innovation team for the summer. Our team builds and operates AI-powered applications for document processing, knowledge retrieval, and workflow automation that support Envita's operations and sustainability mission. This role is software engineering first: the intern will strengthen the foundations those applications depend on, including data quality, logging and observability, integrations, and test coverage, while gaining hands‑on exposure to how LLM- and agent-based systems are built and run in production. This is a great fit for a student who enjoys making systems more reliable, readable, and maintainable and wants to understand how modern AI applications work under the hood.

Core Responsibilities

• Ensures Health & Safety is the number one goal by following policies, processes, and always acting in a safe manner.
• Data Quality & Cleanup: Profile, clean, deduplicate, and normalize the structured and unstructured datasets that feed our AI applications; write repeatable scripts and validation checks so improvements persist.
• Logging & Observability: Improve logging, error handling, and monitoring across Python and C# services and data pipelines so issues are easier to diagnose and system behavior is measurable.
• Integration Development: Build and harden integrations using REST APIs, webhooks, and scripting to connect internal systems, data sources, and AI services.
• Code Quality & Technical Debt: Refactor existing code, add automated tests, improve documentation, and work through backlog items that keep our AI systems maintainable.
• AI Application Support: Contribute to LLM-based features such as structured data extraction from documents, retrieval (RAG / vector search), and agent workflows, including building evaluation and test harnesses for them.
• Prototyping: Deliver small, well-scoped proof‑of‑concept tools or automations that demonstrate measurable value.
• Cross‑Team Collaboration: Partner with technology and business teams to understand how data and systems are used and where improvements will have the most impact.
• Engineering Practices: Work within the team's standard development workflow, including version control (Git/GitHub), code review, issue tracking, and CI, and communicate progress clearly.

Additional Duties and Responsibilities

• Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company’s core values, competencies, and skills.
• Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company’s core values, competencies, and skills.

Education & Qualifications

• High School or Equivalent
• Preferred Bachelor's Degree and open to college sophomore, junior, senior, recent grad, or 1st or 2nd master’s student majoring in Computer Science, Software Engineering, AI/ML, Statistics/Mathematics, or a related field in progress.

Experience & Skills

• Academic, internship, or project-based experience writing Python for real applications (scripts, services, data pipelines, or tools) beyond coursework exercises.
• Experience consuming or building REST APIs and/or webhook-based integrations.
• Familiarity with Git-based workflows (branching, pull requests, code review) through coursework, internships, or personal/open‑source projects.
• Exposure to LLM tooling preferred: prompt engineering, LLM APIs, agent frameworks (e.g., LangGraph, Claude Code, or similar), or RAG / vector search / embeddings.
• Coursework or project experience in machine learning, databases, or data engineering is a plus.

Skills and Abilities

• Proficiency in Python, including writing clean, testable, well‑structured code.
• Working knowledge of SQL and comfort working with messy, real‑world data.
• Understanding of software engineering fundamentals: testing, debugging, logging, error handling, and version control.
• Foundational understanding of how LLM-based applications are built (prompting, retrieval, structured output, tool and agent orchestration) and interest in going deeper.
• Familiarity with cloud platforms (Azure preferred) and containerized deployments is a plus.
• Strong problem‑solving skills and the persistence to work carefully through ambiguous, detail‑heavy problems.
• Effective communicator, able to document work and explain technical decisions to technical and non‑technical audiences.

Working Conditions / Physical Demands

Must be able to make in office commute.

Internship Program

The Heritage Group Internship Program provides hands‑on, paid experiences in a corporate function or within one of our many operating companies. Interns can expect to network with other students and professionals, gain useful skills, receive mentoring, and make their own contributions to the organization. Additionally, interns can participate in our weekly hosted events focused on professional development, team building, and community service.

Compensation

• Intern pay is non‑negotiable and is calculated based on current academic class standing $18/hour (Freshman) - $21/hour (Senior), etc.

Equal Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Company Culture & Values

Envita Solutions is a leader in environmental services and total waste management, has been transforming our customers’ complex waste challenges into sustainable solutions for nearly 25 years. Our company is built on a foundation of trust, integrity, inclusion and belonging with a strong emphasis on safety and environmental responsibility. Envita is more than a workplace; it’s a launchpad for fulfilling career opportunities. We offer a diverse, equitable, and inclusive culture where people from all backgrounds can thrive. Dedicated to fostering a workplace that promotes career growth alongside a healthy work‑life balance, we invest in and encourage our team members to unlock their full potential. Be a part of a company that empowers its people and protects the planet. Envita Solutions is a proud member of The Heritage Group family of companies.

Additional Notice for California Residents

If you are a California resident, you acknowledge that you have read the privacy notices for the applicable companies in which you are interested in receiving alerts, including Envita Solutions, Monument Chemical, Asphalt Materials, Inc., Heritage Aggregates, LLC d/b/a US Aggregates, U.S. Aggregates, Inc., and Milestone Contractors, L.P.