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# Software Engineer, Applied AI

- **Company:** ABS LLC
- **Location:** Louisville, TN, United States
- **Experience:** Expert
- **Salary:** $116,620.0 - $179,890.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Information Retrieval, Next.js, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Information Technology, Machine Learning Operations, Api Design, Software Version Control
- **Published:** June 10, 2026
- **Apply:** https://www.careerjet.com/jobad/usfc390937791bb83fff8a8de3a7dc0bbc

## About the Role

* * Bachelor's degree in computer science, Engineering, or a related field
 * * 5+ years of software development experience, including 3+ years building production-grade AI systems
 * * Proven track record delivering AI agents, RAG pipelines, or fine-tuned models with measurable business impact
 * * Experience designing evaluation frameworks and truth sets for applied AI quality assurance

Knowledge, Skills, and Abilities

 * Strong expertise in agent frameworks and LLM orchestration (API-first development, Vercel AI SDK, LangChain, etc.)
 * * Deep knowledge of RAG architectures, embeddings, vector databases, and retrieval optimization strategies
 * * Experience with LLM fine-tuning, prompt design, and model performance evaluation
 * * Full-stack engineering skills across modern web and backend technologies
 * * Familiarity with MLOps practices: CI/CD, model versioning, monitoring, and deployment at scale
 * * Strong grounding in applied information retrieval and vector-based systems

## Description

We are seeking an exceptional Software Engineer to join our Applied AI team full-time. In this role, you will design, build, and deploy intelligent systems that move beyond research into production at scale. You'll focus on architecting and evaluating multi-agent systems, retrieval-augmented generation (RAG) pipelines, and fine-tuned large language models-delivering AI capabilities that drive measurable business impact.
What You Will Do:

 * Build at the frontier**: Design and implement end-to-end AI systems, including multi-agent workflows, retrieval pipelines, and customized LLMs.
 * * Engineer full-stack solutions**: Deliver web and backend applications that seamlessly integrate AI, ensuring reliability, scalability, and strong user experience.
 * * Raise the bar on evaluation**: Develop rigorous truth sets, automated quality checks, and real-time monitoring pipelines to quantify performance and business outcomes.
 * * Prototype rapidly**: Transform research concepts into production-grade systems through fast iteration, disciplined testing, and continuous refinement.
 * * Shape best practices**: Contribute to internal standards for applied AI development, evaluation, and deployment at scale.


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