Software Engineer I - AI

Essential Duties and Responsibilities (in descending order of percentage of time required)

· Contribute to development of AI-powered applications and internal tools.

· Build and test features using LLMs, APIs, and modern development frameworks.

· Use AI coding tools (Cursor, Claude, Codex, Copilot, etc.) to accelerate development and improve code quality.

· Assist in building prototypes and proof-of-concepts for new AI features.

· Support integration of AI services into mobile, web, and backend systems.

· Participate in code reviews, sprint planning, and technical discussions.

· Write clean, well-documented, maintainable code.

· Learn and apply best practices in software engineering and AI development.

· Collaborate with product managers, designers, and senior engineers.

Supervision Exercised (this section should be filled out when an employee has supervisory responsibilities)

Minimum Qualifications (requirements necessary to perform listed duties and responsibilities)

Education

· Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

Experience:

· Bachelor’s degree in Computer Science, Software Engineering, or related field (or graduating soon).

· Internship, coursework, or personal projects involving:

o Generative AI

o Chatbots or assistants

o AI-assisted coding workflows

o Automation tools

· Experience building projects using:

o OpenAI APIs

o Claude

o HuggingFace

o LangChain or similar frameworks (nice to have)

· Portfolio, GitHub, or demo projects strongly preferred.

Knowledge, Skills, and Abilities:

· Strong fundamentals in computer science and software engineering.

· Coursework in System Design, Distributed Systems

· Proficiency in at least one programming language (Python preferred; JavaScript/TypeScript also useful).

· Familiarity with REST APIs, Git, and modern development workflows.

· Experience using AI coding tools such as:

o Cursor

o Claude

o Codex / Copilot

o ChatGPT or similar tools

· Understanding of basic LLM concepts:

o Prompt engineering

o API-based model usage

o Retrieval-augmented generation (RAG) basics

· Ability to debug and iterate quickly.

· Strong curiosity and willingness to learn new tools and frameworks.

· Good communication and teamwork skills.

·

Other:

· Ability to travel up to 10% of the time domestically and internationally

Preferred Qualifications

Education/Certifications:

Master’s degree in Computer Science, Computer Engineering, or related field

Experience in IoT, software services, video, and AI

Experience: Preferred internship experience in AI-focused startups, developer-tooling or cloud platforms, consumer technology/IoT companies, or enterprise SaaS organizations building applications with Generative AI and modern software tools.

The pay range for this position is $69,495.00 - $118,619.50; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.