AI Software Solutions Engineer

Job Description

Be Part of a High-Performing Team

This opportunity is with a mission-driven technology company recognized for its culture of innovation and operational excellence. The organization is deeply committed to its ACT TOP values, promoting accountability, collaboration, and technical advancement across every function. It champions Agile development, continuous learning, and a high-impact work environment where engineers are empowered to take ownership and drive meaningful change.

The engineering team blends traditional enterprise development expertise with cutting-edge AI/ML solutions to solve complex business challenges. As part of this team, you'll contribute to scalable cloud-native applications while pioneering AI integrations using state-of-the-art tools and frameworks. The culture emphasizes cross-functional collaboration, technical mentorship, and staying at the forefront of technology trendsespecially in the growing field of generative AI and large language models.

Whats In Store For You

Combine deep software engineering with applied AI/ML development.

Career Growth: Engage in high-impact AI projects, cloud development, and full-stack architecture.

Tech-Forward Culture: Work with modern tools like Azure OpenAI, LangChain, Semantic Kernel, and vector databases.

Dynamic Work Environment: Collaborate across engineering, product, and design in a fast-paced Agile setting.

How You Will Make An Impact

Design and develop AI-powered applications using Azure OpenAI, LangChain, and Semantic Kernel.

Fine-tune and optimize LLMs for real-world business use cases.

Architect and manage vector databases, retrieval pipelines, and embedding indexes.

Contribute to full-stack application development using .NET, React/TypeScript, Python, and SQL.

Collaborate in Agile rituals such as sprint planning, backlog refinement, and cross-team alignment.

Lead by example through hands-on coding, code reviews, and architecture discussions.

Troubleshoot and resolve issues across AI and traditional application layers.

Advocate for DevOps principles, CI/CD pipelines, and best-in-class engineering standards.

Translate complex AI concepts for both technical and business audiences.

Are You a Full-Stack AI Technologist?

Bachelors degree in Computer Science, Data Science, or equivalent experience.

5+ years in software engineering, ideally with leadership experience.

3+ years of hands-on experience with LLMs, Azure OpenAI, LangChain, or Semantic Kernel.

Strong skills in both AI development (Python, prompt engineering) and enterprise tech stack (.NET, React/TypeScript, SQL).

Experience with vector databases, embedding pipelines, and retrieval architectures.

Strong grasp of CI/CD, Azure DevOps, and cloud-native application design.

Embody a mindset of Extreme Ownership: proactive, accountable, and team-oriented.

Exceptional communication and cross-functional collaboration abilities.

#Dice

Full-time