AI Engineer

Description:

This position can be 100% remote in the United States or based in one of our office locations in selected states.

We’re looking for a technically strong, product-minded AI Engineer to help design and develop intelligent capabilities directly within the software applications our customers and internal teams use every day. This is a hands-on, full-stack engineering role focused on building AI-empowered application features, not simply adding chatbot interfaces. You’ll contribute to core application development while also leading the design and delivery of practical AI capabilities such as workflow automation, decision support, predictive insights, natural language experiences, data-driven recommendations, and intelligent reporting.

You’ll work within a collaborative, cross-functional team environment to accelerate AI enablement across our product offering. This role will work closely with software engineers, product owners, and business leaders to identify high-value product opportunities, translate business workflows into thoughtful AI-enabled features, and bring intelligent capabilities to life. From pricing optimization and document understanding to predictive workflows, NLP-based user experiences, and dynamic reporting solutions.

We’re looking for someone who thrives on solving ambiguous product problems, can move from prototype to production-quality software, and is ready to help shape how our business applies AI in ways that make our applications smarter, more useful, and easier to use.

Requirements:

Essential Duties and Responsibilities

• Develop and maintain full-stack features for our core business applications as an active member of a scrum team.
• Design, build, and enhance AI-enabled product experiences, including but not limited to conversational interfaces, workflow automation, embedded recommendations, intelligent search, summarization, document understanding, and decision-support capabilities.
• Lead the design and development of AI-empowered product features that incorporate large language models, machine learning, structured data, and application context directly into business workflows.
• Collaborate with your scrum team, including product owners, project managers and QA, to plan, estimate, and deliver work each sprint.
• Integrate LLMs, machine learning services, internal data sources, and application APIs into existing systems with a focus on reliability, security, scalability, usability, and measurable business value.
• Build reusable services, APIs, prompts, data pipelines, evaluation patterns, and application components that allow AI-powered capabilities to be embedded consistently across business applications.
• Evaluate and prototype new AI tools, models, and frameworks to identify practical opportunities for product enhancement.
• Maintain clear, maintainable documentation for features, integrations, and processes.
• Stay current on developments in AI and LLM technologies and share relevant applications with the team.

Minimum Qualifications \& Skills

Technical Proficiency:

• 5\+ years of professional full-stack software development experience, spanning both front-end and back-end technologies.
• 2\+ years of experience designing, building, or implementing AI-enabled software features, such as retrieval-augmented generation (RAG) pipelines, intelligent search, recommendation or prediction models, document understanding, natural language interfaces, workflow automation, model evaluation, and production LLM integrations.
• Experience building MCP servers, consuming APIs, or developing integration patterns that connect AI and LLM capabilities to business applications.
• Familiarity with vector databases, prompt engineering practices, AI evaluation methods, model output testing, and techniques for improving accuracy, relevance, safety, and reliability in production applications.
• Solid understanding of SQL and structured data.

Tools \& Processes:

• Experience with the following tech stack: Azure AI Foundry (Azure OpenAI, Azure Cognitive Services), C#, Angular, .NET and SQL
• Comfortable using version control systems (e.g., Git) and workflow tools like Azure DevOps or GitHub Actions.
• Experience working on a scrum team, including sprint planning, daily standups, and retrospectives.
• Comfortable with agile estimation and iterative, incremental delivery cycles.

Education \& Experience:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience designing and developing production software applications.
• Demonstrated experience taking AI-enabled features from concept or prototype through production release, including collaboration with product, engineering, QA, and business stakeholders.

Preferred Qualifications:

• Strong curiosity and drive to explore new AI technologies, evaluate their fit for business problems, and rapidly build functional prototypes that can evolve into production application features.
• Ability to explain AI concepts, tradeoffs, risks, and expected business outcomes to both technical and non-technical stakeholders, including product owners and business leaders.
• Experience with finance data, ERP systems, or the print/marketing industry is a plus.

What We Look For in an Ideal Candidate:

• A builder’s mindset: hands-on, solution-driven, resourceful, and able to turn ambiguous business needs into practical software features.
• High technical aptitude with strong communication and collaboration skills.
• Someone who can move fluidly between full-stack application development, AI feature design, data-informed problem solving, and production delivery.
• A proactive learner who’s ready to grow with us and push our AI capabilities forward within our products.

Mittera is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. All applicants must be 18 years or older.