The job, in the employer's words
About the Role
We are looking for an exceptional AI Architect to design, build, and optimize AI-driven applications on the Azure platform. This role emphasizes strong engineering expertise, creative problem-solving, and the ability to work with cutting-edge technologies to deliver high-impact solutions.
The ideal candidate thrives on solving complex challenges, is passionate about engineering excellence, and has a knack for integrating AI into scalable, real-world applications. A background in data science or formal engineering is a strong advantage, given the scientific nature of the work.
Key Responsibilities
- Architect & Build: Design and implement AI applications leveraging Azure services (AKS, Azure Container Apps, Blob Storage, Document Intelligence, AI Studio/Foundry, VNETs).
- Full-Stack Development: Develop systems using Python, React, and modern frameworks like Entity Framework Core, LangChain, Semantic Kernel, and FastAPI.
- Scalable & Secure Solutions: Create applications that are resilient, secure, and optimized for high performance.
- Collaboration: Work closely with cross-functional teams, including data scientists and engineers, to turn abstract ideas into functional solutions.
- Cloud-Native Focus: Lead the deployment and optimization of applications in Azure environments with strong consideration for cost efficiency and maintainability.
- Innovate & Optimize: Explore new tools, frameworks, and methodologies to stay at the forefront of AI and software engineering.
What We’re Looking For
Required Skills:
- Proven expertise in software engineering with experience in C#, Python, and React (TypeScript).
- Hands-on experience with cloud platforms, particularly Azure, including services like AKS, Networking, and AI Studio/Foundry.
- Familiarity with AI frameworks like LangChain, Semantic Kernel, and other AI libraries or tools, as well as techniques such as RAG, Agentic patterns, and workflow orchestration.
- Strong grasp of modern development practices, such as containerization, CI/CD, and API design.
- Demonstrated ability to design and build secure, scalable, and maintainable systems.
Preferred Skills:
- Background in data science or formal training in engineering disciplines.
- Experience with frameworks like Entity Framework Core, Material UI, and FastAPI.
- Understanding of AI modeling workflows and integration of document intelligence or related tools.
Core Qualities:
- Problem-Solving Excellence: A creative and analytical approach to tackling technical challenges.
- Ownership & Accountability: Ability to take full responsibility for the design, implementation, and success of projects.
- Adaptability: Comfortable learning and implementing new technologies in a fast-evolving field.
- Team Collaboration: Strong communication skills and a mindset that thrives in a team-driven environment.
About Nimble Gravity
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.
Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.
Requirements mentioned
- Proven expertise in software engineering with experience in C#, Python, and React (TypeScript).
- Hands-on experience with cloud platforms, particularly Azure, including services like AKS, Networking, and AI Studio/Foundry.
- Familiarity with AI frameworks like LangChain, Semantic Kernel, and other AI libraries or tools, as well as techniques such as RAG, Agentic patterns, and workflow orchestration.
- Strong grasp of modern development practices, such as containerization, CI/CD, and API design.
- Demonstrated ability to design and build secure, scalable, and maintainable systems.
- Background in data science or formal training in engineering disciplines.
- Experience with frameworks like Entity Framework Core, Material UI, and FastAPI.
- Understanding of AI modeling workflows and integration of document intelligence or related tools.
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