Engineer IV - Applied AI at PODS in Clearwater, FL
- Company: PODS
- Location: Clearwater, FL
- Posted: Sep 18, 2026
- Type: Full-Time
- Experience: 7+ years
Overview
Responsible for designing, developing, implementing, and supporting AI-powered solutions that address business challenges and create operational efficiencies across the organization. Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflow…
Job description
- Responsible for designing, developing, implementing, and supporting AI-powered solutions that address business challenges and create operational efficiencies across the organization. Leverages existing large language models (LLMs), retrieval-augmented generation (RAG) architectures, agentic workflows, data platforms, and software engineering practices to develop scalable solutions that enhance business processes, customer experiences, and decision-making capabilities. Partners closely with business stakeholders, product teams, and technology teams to identify opportunities, translate business needs into technical solutions, and deliver production-ready AI applications and services.
Responsibilities
- AI Solution Design & Development
- • Design, develop, implement, and support AI-powered applications and services utilizing large language models (LLMs), agentic workflows, prompt engineering techniques, APIs, and retrieval-augmented generation (RAG) architectures.
- • Evaluate business requirements and translate complex or ambiguous business problems into scalable technical solutions.
- • Research, evaluate, prototype, and recommend AI technologies, tools, platforms, and vendors to support business objectives.
- • Design and develop conversational AI solutions, chatbots, virtual assistants, and intelligent workflow automation capabilities.
- Data Integration & Engineering
- • Develop and maintain integrations between AI solutions, enterprise applications, APIs, databases, and cloud data platforms.
- • Query, transform, structure, and manage data to support AI and machine learning solutions utilizing platforms such as Snowflake and related technologies.
- • Develop and maintain retrieval pipelines, semantic search capabilities, vector databases, and data services supporting AI-enabled solutions.
- • Ensure data quality, security, governance, and performance requirements are met within assigned solutions.
- Solution Delivery & Operational Support
- • Deploy, monitor, maintain, and optimize AI solutions in production environments.
- • Monitor application performance, reliability, utilization, and operating costs and implement improvements as appropriate.
- • Troubleshoot application, integration, and data issues and provide timely resolution to support business operations.
- • Create and maintain technical documentation, solution architecture diagrams, standards, and support materials.
- Business Partnership & Innovation
- • Partner with business stakeholders, product teams, and technology teams to identify opportunities for AI adoption and process automation.
- • Provide technical leadership and subject matter expertise related to applied AI technologies and emerging industry trends.
- • Support pilot programs, proofs of concept, and innovation initiatives that advance organizational capabilities.
- • Promote adoption of AI-enabled solutions through training, knowledge transfer, and stakeholder engagement.
- Continuous Improvement
- • Stay current with developments in artificial intelligence, machine learning, software engineering, and data technologies.
- • Continuously evaluate solution effectiveness and recommend enhancements to improve business value, quality, scalability, reliability, and user experience.
- • Participate in architecture reviews, code reviews, and development best practices to ensure high-quality solution delivery.
Requirements
- Education
- • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Information Technology, or related field required.
- • Master's degree preferred.
- • Equivalent combination of education, training, and experience may be considered.
- Experience
- • Minimum of 7 years of progressive software engineering, data engineering, artificial intelligence, machine learning, or related technology experience.
- • Minimum of 3 years of experience designing, building, and deploying AI-enabled solutions within production environments.
- • Experience developing applications using LLMs, AI APIs, prompt engineering, retrieval-augmented generation (RAG), and agentic workflow technologies.
- • Experience with Python development, APIs, integrations, and cloud-based technologies.
- • Experience working with Snowflake, SQL, data transformation, and enterprise data platforms.
- • Experience implementing and supporting AI applications using modern frameworks and orchestration tools.
- • Strong analytical, problem-solving, organizational, and communication skills.
- • Experience leading technical initiatives and influencing cross-functional teams preferred.
Skills
Required
- LLMs
- AI APIs
- Prompt engineering
- Retrieval-augmented generation (RAG)
- Agentic workflow technologies
- Python development
- APIs
- Integrations
- Cloud-based technologies
- Snowflake
- SQL
- Data transformation