This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Software Engineer, Internal Apps based in United States.
This is a high-impact engineering role focused on building internal tools that directly improve how business and engineering teams operate day to day.
You will work closely with stakeholders to identify workflow bottlenecks and design practical software solutions that remove friction and increase efficiency.
The role blends traditional backend engineering with modern AI-assisted development, requiring strong judgment on when to use LLMs and when simple systems are better.
You will own projects end-to-end, from discovery and prototyping through deployment, monitoring, and iteration in production.
A key part of the role involves integrating AI capabilities where they add real value, while maintaining reliability, performance, and cost discipline.
This is a fast-paced, hands-on environment where engineering quality and speed of execution both matter.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Software Engineer, Internal Apps based in United States.
This is a high-impact engineering role focused on building internal tools that directly improve how business and engineering teams operate day to day.
You will work closely with stakeholders to identify workflow bottlenecks and design practical software solutions that remove friction and increase efficiency.
The role blends traditional backend engineering with modern AI-assisted development, requiring strong judgment on when to use LLMs and when simple systems are better.
You will own projects end-to-end, from discovery and prototyping through deployment, monitoring, and iteration in production.
A key part of the role involves integrating AI capabilities where they add real value, while maintaining reliability, performance, and cost discipline.
This is a fast-paced, hands-on environment where engineering quality and speed of execution both matter.
Accountabilities:
- Partner directly with internal stakeholders to understand operational challenges and translate them into scalable software solutions
- Design, build, and maintain internal applications end-to-end, including prototyping, deployment, monitoring, and ongoing improvements
- Develop backend systems, APIs, and data models that support reliable and efficient internal workflows
- Integrate LLM APIs (e.g., OpenAI, Anthropic, Gemini) when appropriate, including prompt design and evaluation strategies
- Evaluate when to use AI-driven approaches versus deterministic systems based on performance, cost, and reliability trade-offs
- Build and maintain internal dashboards and data tools using SQL (MySQL, Snowflake) to support business decision-making
- Collaborate across engineering and business teams to identify bottlenecks and improve operational efficiency through automation
- Establish maintainable engineering patterns, including observability, security, and responsible AI usage practices
- Use AI-assisted development tools to accelerate delivery while maintaining strong code quality and review standards
- Ensure all systems are production-ready, scalable, and easy for internal teams to use and adopt
- 5+ years of professional software engineering experience building and shipping production systems
- Strong backend engineering skills including APIs, system design, debugging, and data modeling
- Proven experience integrating LLM APIs into real-world applications and understanding their limitations
- Hands-on experience with AI-assisted development tools such as Claude Code, Cursor, Codex, or similar
- Strong proficiency in SQL, with Snowflake experience considered a plus
- Proficiency in Python or JavaScript for backend and application development
- Ability to work independently in ambiguous environments and drive projects from idea to production
- Strong engineering judgment to distinguish between AI-suitable problems and simpler deterministic solutions
- Experience working directly with non-technical stakeholders to define and refine requirements
- Focus on building maintainable, well-structured systems with attention to performance and reliability
- Competitive compensation with equity participation
- Flexible remote work environment within the United States
- Opportunity to work on cutting-edge AI-assisted internal systems
- High ownership role with end-to-end responsibility for impactful engineering projects
- Collaborative, low-bureaucracy environment focused on shipping real solutions quickly
- Exposure to modern AI tooling and best practices in applied LLM systems
- Strong engineering culture emphasizing autonomy, speed, and practical problem solving
- Opportunity to shape internal engineering standards and AI usage practices across the organization
Requirements:
Benefits: