Senior Applied AI Engineer - LLMs & Automation

PODS; Clearwater (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

PODS seeks an experienced AI engineer to design, develop, deploy, and support AI-powered solutions across the organization. You will leverage large language models (LLMs), retrieval-augmented generation (RAG), and agentic workflows to deliver scalable, production-ready AI applications and services.

Collaboration with business, product, and technology teams is essential to identify opportunities and translate needs into technical solutions.

Qualifications

• 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.

Responsibilities

• Design, develop, implement, and support AI-powered applications and services utilizing LLMs, agentic workflows, prompt engineering techniques, APIs, and RAG architectures.
• Evaluate business requirements and translate complex or ambiguous 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.
• 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 ML solutions using platforms such as Snowflake.
• 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.

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Information Technology, or related field

Master's degree

Tools

Python

APIs

Snowflake

SQL

Job description

PODS seeks an experienced AI engineer to design, develop, deploy, and support AI-powered solutions across the organization. You will leverage large language models (LLMs), retrieval-augmented generation (RAG), and agentic workflows to deliver scalable, production-ready AI applications and services.

Collaboration with business, product, and technology teams is essential to identify opportunities and translate needs into technical solutions.