> Markdown version of [/jobs/ext/2716420-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2716420-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer

- **Company:** TAD PGS, Inc.
- **Location:** Bradenton, FL, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $114,400.0 - $116,958.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Computing, Cluster Analysis, Computer Programming, Data Cleansing, Linux, Distributed Systems, Amazon DynamoDB, Elasticsearch, Python (Programming Language), Machine Learning, MongoDB, Natural Language Processing, Named Entity Recognition, NoSQL, Power BI, Standard Sql, Azure Machine Learning, Sentiment Analysis, Apache Solr, Tableau (Software), Visual Analytics, Cloud Platform System, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Topic Modeling, AWS Lambda, Keras, Git, Build Management, AI Platforms, Machine Learning Operations, Virtual Agents, Text Summarization, Document Classification, GPT, Software Version Control
- **Published:** September 4, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3377265619&tx=FK906PFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's/Master's degree in CS, Data Science, Engineering, or Mathematics field
 * 2+ years of hands-on AI/ML engineering experience, including demonstrable LLM application work
 * Experience building agentic AI systems (agents with tool/function calling, planning or task decomposition, and multi-step execution), or strong working knowledge of agent architectures and frameworks such as LangGraph, CrewAI, Strands, or AutoGen
 * Working knowledge of the modern LLM stack: prompt engineering, RAG, embeddings, and structured outputs
 * Experience in one or more areas of machine learning / artificial intelligence such as classification, clustering, anomaly detection, sentiment analysis, and NLP problems such as text categorization, topic modeling, entity extraction, and text summarization
 * Ability to think critically about AI or ML system design, including model selection, tradeoffs, and real-world deployment considerations
 * Experience evaluating AI/ML systems: testing, measuring accuracy, and catching hallucinations
 * Programming experience using Python and iPython notebooks; good SQL skills
 * Excellent communication skills to communicate with wide technical and business users
 * Demonstrate ability to quickly learn new tools and paradigms to deploy cutting-edge solutions
 * Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations, * Experience with prompt engineering techniques such as few-shot learning, zero-shot learning, and chain-of-thought prompting
 * Experience with cloud platforms (AWS or Azure) and their AI/ML services such as AWS Bedrock, AWS SageMaker, Azure OpenAI, or Azure AI Foundry, and core services such as S3 and Lambda functions
 * Experience in using deep learning frameworks such as PyTorch or Keras , etc .
 * Experience in MLOps to operationalize the model building process and monitor models in production
 * Familiarity with search and vector retrieval such as Elasticsearch, Solr, or vector databases
 * Familiarity with version control systems, specifically Git, and experience with platforms like Azure DevOps
 * Familiarity with Linux and cloud CLI tools
 * Experience creating interactive data visualizations and dashboards in Tableau, Power BI, or other tools
 * Experience with distributed NoSQL databases such as MongoDB , DynamoDB, etc .
 * Ability to build full-stack systems architected for speed and distributed computing

## Description

We're seeking a talented AI Engineer to develop innovative solutions using generative AI, agentic systems, machine learning (ML), Large Language Models (LLMs), and prompt engineering. You'll design, build, and deploy scalable solutions in distributed and cloud environments, leveraging large and text-based datasets to solve complex challenges and drive innovation., * Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution

 * Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
 * Develop LLM-based features such as retrieval-augmented generation (RAG) with citations, text summarization, and embedding pipelines
 * Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes
 * Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or cloud AI platforms to develop solutions for specific tasks
 * Evaluate and test GenAI features: building test sets, grounding and citation checks, LLM-as-judge scoring, and production quality monitoring
 * Design, develop, and optimize machine learning models using Python
 * Deploy and manage solutions in distributed and cloud environments
 * Collaborate with cross-functional teams to guide business decisions


## Related Videos

- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis)
- [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)
- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)