AI Engineer - Full Stack

Fortegra isseeking an Internal AI Forward Deployed Software Engineer to stay ahead ofcutting-edge

AI developments, rapidly prototype proofs-of-concept (POCs), and advise our organization's various technology teams on integrating the best AI solutions into their platforms and products.

You'llbe the go-toexpert in bridging emerging AI technologies with our internal tech needs, enabling nimble adoption across teamsand deploying AI apps in production.

• Monitor and stay current with the AI technology landscape, including new models, frameworks, tools, and research across areas such as LLMs, multimodal AI, agentic systems, and orchestration platforms,toinform internal recommendations and solution design.
• Operate with flexibility across software and data initiatives, contributingwhere business needs and priorities are most critical. Adaptingreadily to support both software engineering and data-focused projects as priorities and requirements shiftwill be integral to therole.
  
  Data-focused projectsinvolvesupportingour data infrastructure interms of platform enhancementsorbuilding new data processes to support business needs.
• Engage with internal stakeholders toidentifyhigh-value AI opportunities, define use cases, and rapidly prototype tailored solutions that integrate with our APIs, data pipelines, and internal platforms for workflows such as analytics, automation, and decision support.
• Advise teams on theselectionand implementation of AI solutions by assessing trade-offs across accuracy, latency, scalability, security, and cost, and guide the evolution of prototypes into production-ready applications.
• Own end-to-end delivery of AI initiatives, from ideation and scoping through prototyping, testing, deployment, monitoring, and iterative optimization in internal production environments.
  
  Build a sharp eye for continuously validating AI-driven processes and evaluating their outputs for accuracy, effectiveness, and trustworthiness.
• Identifyreusable patterns, shared components, and platform enhancement opportunitiesemergingfrom AI projects, and partner with core engineering teams to improve maintainability, scalability, security, and operational resilience.
• Conduct workshops, demos, and knowledge-sharing sessions to educate teams on AI best practices, emerging tools, and Fortegra's evolving AI capabilities, helping drive organization-wide adoption and responsible usage.
• Operate effectively across multiple high-priority initiatives, contributing as an engineer, technical advisor, researcher, and communicator in a fast-moving and often ambiguous environment.

The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform.

• Bachelor’s degree in Computer Scienceor a related field required;
  
  Master’sdegree in Computer Science or a related discipline with a focus on AI or machine learning is preferred.
• 3 to 5 years of software engineering experience, including hands‑on development of AI‑enabled applications and solutions using modern cloud‑based AI platforms such as Azure Machine Learning or Azure AI Studio. Experience with Azure is strongly preferred.
• Proven track recordof rapidly building POCs and advising on AI integration strategies, with strong knowledge of current AI trends, leading model families, evaluation approaches, and practical enterprise use cases.
• Experience with developertoolingsuch as Claude Code, Git Hub Copilot, and Cursor is required.
• Strong full‑stack engineering skills, includingproficiencyin React‑based web development and the ability to review, understand, and refine AI‑generated code. Experience designing or implementing agentic workflows is highly valued. Familiarity with
  
  FastAPIis preferred.
• Experience working with frontier models from providers such as OpenAI, Anthropic, and Google within a Git‑based development environment. Familiarity with Git Hub‑based CI/CD workflows and the use of AI tools for automated testing, including tools such as…