Software Engineer, Applied Artificial Intelligence; AI

Overview

ABS is seeking an exceptional Software Engineer to join our Applied Artificial Intelligence (AI) Practice Team. In this full-time role, you will design, build, and deploy intelligent systems that move beyond research into production  will 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.

Location:

This position can be based in Houston, Texas;
Knoxville, Tennessee; or Washington, DC.

• 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.

Knowledge, Skills, and Abilities

• 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.

This role reports to a project manager and does not initially include direct reports.

Salary Range:

$90,000 - $150,000

Starting salary is based on multiple factors including skillset and experience.