Software Engineer, AI Engineer (Applied​/Software), Cloud Engineer - Software

Engineering Remote (Cleveland, Chicago, Phoenix, or Seattle preferred) FTE Significant travel expected $70k–$170k US work authorization required

Light Sight is an AI consulting and engineering firm. Our engineering team builds data infrastructure and AI software solutions for small to midsized companies: data pipelines, cloud infrastructure, internal tooling, and client-facing applications.

We are growing fast, and you would be joining early, with real ownership over the systems and decisions that shape how we scale. The Software Engineer builds and ships the solutions our clients run their businesses on, from the first working prototype through production, and owns the data and cloud foundations underneath them.

Within each engagement, the Technical Product Manager defines the user experience and requirements, and the Software Engineer turns them into working, maintainable software. The role suits someone who builds daily with AI-assisted development tools, holds a high bar for code quality, and is comfortable working directly with client teams.

Reports to the Chief Technology Officer and works closely with the engineering and delivery team, the Technical Product Manager, and the Chief AI Officer. Cleveland, Chicago, Phoenix, or Seattle preferred; fully remote arrangements are available, and there is no in-office requirement. The seniority of the title and the compensation level are flexible based on experience.

U.S. work authorization required. We are unable to sponsor or transfer employment visas for this position.

• Design, build, test, and ship AI software solutions and the systems that support them, from prototype through production.
• Work from the user experience and requirements defined by the Technical Product Manager, and raise concerns early when a requirement will not hold up in practice.
• Build with AI-assisted development tools such as Claude Code, Codex, and Cursor, and apply LLM fundamentals including prompting, context management, tool use, retrieval, and hallucination control.
• Own the quality of what you ship: code review, testing, documentation, and clean object-oriented design that others can extend.

• Build and maintain data pipelines that move, clean, and structure client data for AI solutions.
• Provision and operate cloud infrastructure on Azure, AWS, or GCP, including environments, deployments, and access.
• Containerize and automate deployments so infrastructure is reproducible and operable by others on the team.
• Build internal tooling that makes the engineering and delivery team faster.

• Work directly with client technical and business stakeholders to understand their existing systems, data, and constraints.
• Explain technical decisions and trade-offs in plain language, and communicate progress and risks clearly.
• Support discovery and business development with working prototypes when a demo will move a client decision.
• Represent Light Sight’s standards for quality and responsiveness in every client interaction.

• Programming. Professional software engineering experience, with at least one system you have owned end to end and can walk us through.
• Modern AI tooling. Hands-on experience with Claude Code, Codex, Cursor, or similar.
• LLM fundamentals. Solid understanding of prompting techniques, context management, tool use, hallucination, and RAG.
• Cloud. Hands-on experience with Azure, AWS, or GCP;
  Azure experience is a plus.
• Git. Comfortable with branches, merges, and pull requests.
• Object-oriented design. Strong grasp of object-oriented principles and when to apply them.
• Collaboration and communication. Collaborative, organized, and curious, with clear written and verbal communication; comfortable working…