Software Engineer, Applied Artificial Intelligence (AI)

About the role

ABS is seeking an exceptional Software Engineer to join our Applied Artificial Intelligence (AI) Practice Team. The ideal candidate will design, build, and deploy intelligent systems that move beyond research into production at scale.

Responsibilities

• Build at the frontier: Design and implement end-to-end AI systems, including multi-agent workflows, retrieval pipelines, and customized Large Language Models (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

• 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, 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.

Qualifications

• 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, 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.

Skills

• 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.

Benefits

Not specified.

Pay

$90,000 - $150,000 Starting salary is based on multiple factors including skillset and experience.

Schedule

Not specified.