Artificial Intelligence Engineer
Job in
Stamford, Fairfield County, Connecticut, 06925, USA
Listed on 2026-02-12
Listing for:
The Phoenix Group
Full Time
position Listed on 2026-02-12
Job specializations:
-
Software Development
AI Engineer, Cloud Engineer - Software, Full Stack Developer, Software Engineer
Job Description & How to Apply Below
AI Software Engineer / AI Application Developer
We are seeking an experienced AI Software Engineer to join our growing AI development team. In this role, you will collaborate closely with cross-functional partners to design, build, and deploy high-impact software products using modern cloud, AI, and Dev Ops best practices. You’ll play a key role in shaping scalable, secure, and innovative solutions that support both internal and external users.
WhatYou’ll Do
- Design and build production-quality software solutions using Microsoft Azure services and tools, including Generative AI and Large Language Models (LLMs).
- Integrate custom applications with on-premises and cloud-based business systems and data sources to deliver secure, reliable, end-to-end solutions.
- Develop efficient, scalable, and maintainable code following modern software engineering best practices and coding standards.
- Leverage cloud-native deployment and Dev Ops practices
, including Azure tooling, to improve developer productivity, software quality, and reliability. - Partner across teams to identify business needs and design technical solutions that meet functional and non-functional requirements.
- Contribute to the firm’s strategic direction and investment decisions related to custom software development and deployment.
- Stay current with emerging technologies, tools, and frameworks, and recommend opportunities to improve development processes and efficiency.
- Help grow the firm’s technical capabilities by documenting architectures, standards, and best practices to support maintainability and knowledge sharing.
- Proven experience developing and deploying secure, enterprise-grade applications in cloud environments, with a strong preference for Azure Dev Ops pipelines and CI/CD
. - Hands-on experience with containerized development and deployment (e.g., Docker).
- Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or Bicep.
- Familiarity with LLM- and Generative AI-based application development patterns and best practices is a strong plus.
- Excellent problem-solving skills, with the ability to analyze complex requirements and deliver innovative, practical solutions.
- Strong communication and collaboration skills, with a proactive mindset toward learning and adopting new technologies.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field
, or equivalent professional experience.
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