Applied AI Engineer (Full Stack AI Developer)

Applied AI Engineer (Full Stack AI Developer)

Need to be local to either Nashville, TN, Dallas, TX or Tampa, FL with hybrid set up (2-3 days on sight).

Job Description

We are looking for a motivated Applied AI Engineer with 3 to 5 years of overall experience to actively engage in the engineering craft, taking a hands-on approach to building and supporting high-visibility projects. Your contributions will help deliver solutions that delight customers and users, while driving tangible value for business investments. You will apply your growing engineering expertise across multiple programming languages and modern frameworks, consistently delivering quality, outcome-focused work.

The ideal candidate is a collaborative team player eager to learn, grow, and contribute, working with cross-functional teams to design, develop, and deploy software solutions, while building hands-on experience using AI and agentic tools across the engineering lifecycle.

Responsibilities

• Contribute to a culture of accountability for customer and business outcomes, helping develop engineering solutions that solve complex problems with valuable outcomes.
• Support technical design, development, testing, integrations, and ongoing support for assigned product components.
• Participate in requirement analysis and component-level design under the guidance of senior engineers.
• Contribute to the integrity of architecture and technical stack to enterprise standards, managing dependencies, code quality, and ongoing maintenance.
• Stay hands-on, self-driven, and continuously learn new approaches, languages, frameworks, and AI-enabled engineering practices.
• Write high-quality, supportable, scalable code, and participate in code reviews to support team quality standards.
• Support rapid, inexpensive experimentation, including AI-built prototypes, to help solve customer needs.
• Engage with product teams before, during, and after delivery to help ensure the right solution is delivered at the right time.
• Adopt a mindset that favors action and evidence over extensive planning, helping deliver lean, supportable, and maintainable solutions.
• Collaborate with cross-functional teams including product management, experience, and delivery to support well-informed decisions.
• Apply AI and Agentic SSDLC practices to support automated deployments with quality checks embedded across the development lifecycle.
• Use AI tools for code generation, review, testing, and documentation to accelerate delivery while maintaining quality standards.
• Build domain-specific knowledge relevant to the business or product, translating business and user needs into technical specifications and code.
• Communicate clearly with teammates, sharing updates, blockers, and technical trade-offs in a well-structured manner.
• Engage and collaborate with product engineering teams, building constructive relationships and contributing to a culture of co-creation.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline.
• 3 to 5 years of experience with one or more of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
• 1+ years of experience building AI/ML applications, with hands-on GenAI exposure across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, or vector databases.
• 1+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including exposure to their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
• Working knowledge of engineering standards and best practices, with a willingness to learn and adopt new standards under guidance.
• Understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, and algorithms.
• Exposure to methodologies and tools such as Agile, DevSecOps, ADO, GitHub, SonarQube, MLflow, or agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent) is a plus.
• Ability to work in your local office at a minimum of 3 days per week.
• Limited immigration sponsorship may be available.
• Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Eagerness to learn and receive mentorship from senior team members.