Overview
On Site
Full Time
Skills
Innovation
Operational Excellence
Art
Mentorship
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Machine Learning (ML)
Use Cases
Management
Application Development
Agile
Sprint
Computer Science
Data Science
Software Engineering
Leadership
LangChain
Semantics
Artificial Intelligence
Python
Prompt Engineering
.NET
React.js
TypeScript
SQL
Vector Databases
Continuous Integration
Continuous Delivery
Microsoft Azure
DevOps
Cloud Computing
Software Design
Accountability
Communication
Collaboration
DICE
Job Details
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 trends-especially in the growing field of generative AI and large language models.
What's In Store For You
How You Will Make An Impact
Are You a Full-Stack AI Technologist?
#Dice
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 trends-especially in the growing field of generative AI and large language models.
What's 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?
- Bachelor's 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.