Software Engineer, Applied AI

Abs International Group • Knoxville, TN

39d

About The Position

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.

Requirements

• 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, 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

Responsibilities

• Design and implement end-to-end AI systems, including multi-agent workflows, retrieval pipelines, and customized LLMs.
• Deliver web and backend applications that seamlessly integrate AI, ensuring reliability, scalability, and strong user experience.
• Develop rigorous truth sets, automated quality checks, and real-time monitoring pipelines to quantify performance and business outcomes.
• Transform research concepts into production-grade systems through fast iteration, disciplined testing, and continuous refinement.
• Contribute to internal standards for applied AI development, evaluation, and deployment at scale.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level