Full Stack Engineer, AI Platform

Summary

UJET is an AI-powered contact center innovation company delivering a cloud platform focused on customer experience, automation, and actionable insights. The Full Stack Engineer, AI Platform will build internal full-stack products, services, APIs, workflows, and platform capabilities that enable teams to develop and operate AI agents and AI-enabled features. The role involves supporting agent orchestration, model integrations, evaluation systems, observability, developer experience, and reliable production deployments.

Responsibilities

• Build and maintain internal full-stack products that help teams design, develop, test, evaluate, deploy, and operate AI agents and AI-enabled features
• Develop backend services, APIs, SDKs, workflows, and integrations that connect models, tools, enterprise data, and product systems
• Build reusable platform capabilities for agent orchestration, prompt and context management, tool use, human review, and workflow automation
• Develop evaluation, observability, debugging, and quality-control systems that make AI behavior measurable and reliable
• Design secure patterns for accessing data, invoking tools, managing permissions, and applying appropriate AI safety guardrails
• Partner with infrastructure and application engineering teams to understand needs and translate them into durable platform capabilities
• Improve the developer experience through clear abstractions, documentation, examples, templates, and paved paths
• Write maintainable, well-tested code and participate in design reviews, code reviews, debugging, release processes, and production support
• Take ownership of ambiguous problems, identify practical tradeoffs, and drive work from discovery through production adoption
• Stay current with evolving AI engineering practices and apply new approaches thoughtfully rather than adopting technology for its own sake

Skills

• At least 2 years of professional software engineering experience
• Strong production experience with Python
• Experience building full-stack applications, backend services, APIs, developer tools, or platform products
• Experience integrating complex systems and designing maintainable service boundaries and APIs
• Experience with data-intensive applications, data pipelines, analytics workflows, or operational data systems
• Interest in or hands-on experience with LLMs, AI agents, model APIs, retrieval systems, workflow automation, or other applied AI technologies
• Strong software engineering fundamentals, including testing, version control, code review, debugging, security, observability, and maintainable system design
• Ability to work across multiple layers of a technical stack and learn unfamiliar technologies quickly
• Evidence of self-motivated work, strong ownership, and the ability to make progress in ambiguous situations
• Clear written and verbal communication skills, especially in a distributed engineering environment
• Experience building and operating software on cloud platforms
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time
• Location: This role is US-based. We have a preference for someone who lives in Maine, while remaining open to strong candidates elsewhere in the United States

Qualifications

Must Haves

• At least 2 years of professional software engineering experience
• Strong production experience with Python
• Experience building full-stack applications, backend services, APIs, developer tools, or platform products
• Experience integrating complex systems and designing maintainable service boundaries and APIs
• Experience with data-intensive applications, data pipelines, analytics workflows, or operational data systems
• Interest in or hands-on experience with LLMs, AI agents, model APIs, retrieval systems, workflow automation, or other applied AI technologies
• Strong software engineering fundamentals, including testing, version control, code review, debugging, security, observability, and maintainable system design
• Ability to work across multiple layers of a technical stack and learn unfamiliar technologies quickly
• Evidence of self-motivated work, strong ownership, and the ability to make progress in ambiguous situations
• Clear written and verbal communication skills, especially in a distributed engineering environment
• Experience building and operating software on cloud platforms
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time

Nice to Haves

• Location: This role is US-based. We have a preference for someone who lives in Maine, while remaining open to strong candidates elsewhere in the United States

Benefits

• Medical
• Dental
• Vision
• 401(k) plan
• Wellness benefits
• Impactful work at the forefront of innovation
• Collaborative, inclusive team culture
• Remote or hybrid work arrangement