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Full Stack Ai Engineer Jobs in Maine (NOW HIRING)

Tyler Technologies, Inc.

Senior Software Engineer

Orono, ME · On-site

$66.58 - $110/hr

... stacks maintained by the departmental Architecture team. A Senior Software Engineer for this group ... Identify opportunities to leverage Agentic AI to improve developer productivity, streamline ...

WEX, Inc.

SRE Architect, AI-Powered Reliability

Portland, ME · On-site

$58.25 - $77.50/hr

Integrate AI into the full incident lifecycle, intelligent triage and automated runbook suggestions ... stacks. * BS/MS in Computer Science, Engineering, or equivalent practical experience. The base pay ...

Idexx

Associate Director, Marketing Technology

Westbrook, ME · On-site

$160 - $190/hr

... Full Stack Developers, Marketing Cloud Admins, BSAs* You will identify and provide technical options to satisfy business ideas.* You will champion the evaluation, adoption, and governance of AI tools ...

WEX

SRE Architect, AI-Powered Reliability

Portland, ME · On-site

$58.25 - $77.50/hr

Integrate AI into the full incident lifecycle, intelligent triage and automated runbook suggestions ... stacks. * BS/MS in Computer Science, Engineering, or equivalent practical experience. The base pay ...

eNett

SRE Architect, AI-Powered Reliability

Portland, ME

$58.25 - $77.50/hr

Integrate AI into the full incident lifecycle, intelligent triage and automated runbook suggestions ... stacks. * BS/MS in Computer Science, Engineering, or equivalent practical experience. The base pay ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Maine

Full Stack Ai Engineer information

See Maine salary details

$43.1K

$130.5K

$184.4K

How much do full stack ai engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for full stack ai engineer in Maine is $130,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What job categories do people searching Full Stack Ai Engineer jobs in Maine look for?

The top searched job categories for Full Stack Ai Engineer jobs in Maine are:

What cities in Maine are hiring for Full Stack Ai Engineer jobs?

Cities in Maine with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Maine as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 3% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $130,485 per year, or $62.7 per hour.

Senior Software Engineer

Tyler Technologies, Inc.

Falmouth, ME • On-site

$66.58 - $110/hr

Other

Posted 10 days ago

Tyler Technologies rating

9.3

Company rating: 9.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

15th of 246 rated software companies

Job description

Software EngineeringYarmouth,MaineFalmouth,MaineOrono,Maine
Salary: USD 66585 - 110000 Annually

The Development Enablement team is a new engineering group focused on streamlining the development experience, providing guidance, and addressing challenges in working with the technology stacks maintained by the departmental Architecture team. A Senior Software Engineer for this group will provide technical guidance and assistance to product engineers, identify and resolve development challenges, and champion best practices and technology adoption.

The ideal candidate is a technical leader responsible for setting best practices, establishing development standards, supporting/implementing system design decisions that impact team and organizational success, and identifies opportunities to leverage AI to improve development workflows. This role combines advanced technical expertise with technical leadership responsibilities, focusing on mentoring engineers, defining technical roadmaps, and ensuring delivery of high‑quality, secure, and scalable software solutions.

Responsibilities
  • Define and establish technical standards from architectural guidelines
  • Build scalable, maintainable software systems
  • Drive adoption of emerging technologies, selected by leads
  • Mentor junior and mid-level engineers
  • Participate in hiring processes and technical interviews
  • Collaborate with leadership on technical roadmaps
  • Represent technical perspectives in strategic planning
  • Establish code quality standards and technical debt management within the team
  • Create technical documentation and knowledge‑sharing resources
  • Collaborate with cross‑functional teams
  • Identify opportunities to leverage Agentic AI to improve developer productivity, streamline engineering workflows, and enhance software quality
  • Guide engineering teams in the responsible adoption of AI‑assisted development practices and tooling
  • Evaluate and implement AI‑driven solutions that support development enablement, automation, and operational efficiency
  • Establish best practices for integrating Agentic AI into the software development lifecycle
Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, or related technical field, OR equivalent professional experience demonstrating expert‑level programming competency and proven technical leadership capability
  • Typically 5+ years of professional software development experience with demonstrated progression to technical leadership roles
  • Proven track record of leading complex technical projects
  • Experience with large‑scale system design and production system management
  • History of contributing to technical decision‑making and establishing best practices
  • Technologies: Proficiency with C#, Angular, SQL, Linux, git, Docker, and AWS; or similar
  • Advanced Programming: Expert‑level proficiency in multiple languages with deep ecosystem knowledge
  • System Architecture: Extensive experience with scalable, distributed systems and cloud‑native patterns
  • DevOps & Infrastructure: Advanced CI/CD, containerization, orchestration, infrastructure as code
  • Performance & Scale: Application tuning, database optimization, caching, system scaling
  • Security & Quality: Deep understanding of secure development practices and quality assurance methodologies
  • Emerging Technologies: Active knowledge of industry trends and innovative practices
  • Technical Leadership: Proven ability to influence technical decisions and establish technical vision
  • Mentoring Excellence: Strong coaching skills with track record of developing engineers
  • Excellent Communication: Exceptional skills for technical documentation, presentations, cross‑functional collaboration
  • Strategic Thinking: Balance technical considerations with business objectives
  • Change Leadership: Experience driving organizational change and technology adoption
  • Advanced Problem Solving: Complex technical and organizational challenge resolution
  • Agentic AI: Experience leveraging and creating AI‑assisted development tools and agentic workflows to improve engineering efficiency, accelerate delivery, and support software quality initiatives
  • AI Governance & Enablement: Understanding of responsible AI adoption practices, including security, compliance, data privacy, and human oversight within engineering workflows
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