Software AI Engineer

Improving; Dallas, Northern (TX, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Improving is seeking a senior AI engineer to design and ship agent architectures and lead cross-functional initiatives across product, research, and engineering. You will work with a range of models and tool-calling patterns to create reliable, scalable agent solutions.

You will design prompts, review system architecture, and mentor teammates while ensuring high quality and rapid delivery in a fast-paced environment.

Qualifications

• Deep, hands-on experience building AI agents in production
• Strong understanding of LLM capabilities across multiple models
• Expertise in prompt engineering and working with tool-use/function calling
• Proven ability to architect systems that are reliable, maintainable, and performant at scale
• Staff-level impact: You have led significant technical initiatives and elevated team capabilities
• Experience with multi-step reasoning, chain-of-thought patterns, or complex agent workflows
• Familiarity with evaluation frameworks for agentic systems
• Background in developer tools, productivity platforms, or engineering analytics
• Understanding of the practical tradeoffs in production agentic systems

Responsibilities

• Design and build AI agent architectures that interact with development tools, codebases, and team workflows in meaningful ways
• Work extensively with LLM APIs to understand their capabilities, limitations, and optimal application patterns
• Drive agent quality and reliability through systematic testing, safety mechanisms, and feedback loops with real users
• Own the developer experience of agentic interactions-making complex AI capabilities feel natural and trustworthy
• Lead technical decision-making on agent patterns, model selection, and integration approaches
• Mentor and raise the bar across the team through code review, architecture guidance, and knowledge sharing

Skills

AI agent architectures

LLM capabilities

Prompt engineering

System architecture

Staff-level impact

Tools

Claude

Gemini

Llama

Tool calling

LLM APIs

Job description

Improving is committed to building a great place to work by cultivating an environment that fosters professional and personal relationships. We value open communication, personal growth, and shared rewards, which result in sustainable success.

Voted "best place to work" numerous times, Improving strives to create and maintain a culture that exemplifies teamwork, excellence, and fun! We believe this kind of culture encourages both the inspiration and the motivation to achieve amazing things.

• Design and build AI agent architectures that interact with development tools, codebases, and team workflows in meaningful ways
• Work extensively with LLM APIs (Claude, Gemini, Llama, and others) to understand their capabilities, limitations, and optimal application patterns
• Drive agent quality and reliability through systematic testing, safety mechanisms, and feedback loops with real users
• Own the developer experience of agentic interactions-making complex AI capabilities feel natural and trustworthy
• Lead technical decision-making on agent patterns, model selection, and integration approaches
• Mentor and raise the bar across the team through code review, architecture guidance, and knowledge sharing

What you'll bring

• Deep, hands-on experience building AI agents or agentic systems in production
• Strong understanding of LLM capabilities and limitations across multiple models (Claude, Gemini, Llama, etc.)
• Expertise in prompt engineering, model selection, and working with tool-use/function calling
• Proven ability to architect systems that are reliable, maintainable, and performant at scale
• Staff-level impact: You have led significant technical initiatives and elevated team capabilities

Preferred

• Experience with multi-step reasoning, chain-of-thought patterns, or complex agent workflows
• Familiarity with evaluation frameworks for agentic systems
• Background in developer tools, productivity platforms, or engineering analytics
• Understanding of the practical tradeoffs in production agentic systems

What Success Looks Like

• You've designed and shipped 2-3 significant agent capabilities that teams actively use and value
• Your code and architectural decisions set the bar for how the team thinks about agentic systems
• You've built confidence in the company's ability to move fast in the agentic space without sacrificing quality
• You've coached and mentored the next engineers into our agentic specialization

Improving welcomes people from all backgrounds and walks of life, and this is reflected in our largely diverse community of Improvers. Improving is proud to be an equal opportunity employer and is committed to providing equal opportunities for all employees and applicants. Improving recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to race, color, religion, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law.

About Improving

Improving is a modern digital services company dedicated to positively changing the perception of the IT professional. We offer innovative solutions through consulting, software development, and training to help thousands of our clients achieve new heights in a competitive and ever-changing market.

As our company continues to grow, we are looking for enthusiastic thought leaders to join our team. Improving has a unique mix of passionate professionals who strive to grow and thrive in new ways. We are committed to establishing and maintaining an inclusive culture that allows all Improvers to bring their authentic selves to work each day. This is why we work hard to build inclusion and diversity in our workplace, so we can all do amazing things and succeed together.