Software Engineer, Applied AI
Job in
Knoxville, Knox County, Tennessee, 37955, USA
Listed on 2026-06-12
Listing for:
ABS Group
Full Time
position Listed on 2026-06-12
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
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 ’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.
Education and Experience
- 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
- Strong expertise in agent frameworks and LLM orchestration (API-first development, Vercel AI SDK, Lang Chain, 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
$120k - $150k
Reporting RelationshipsThis role reports to a senior leader (manager, director, or executive) and carries no direct reports.
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