Software Engineer, Applied Artificial Intelligence (AI)

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 at scale. You 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.

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• 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 a 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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• 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.
  

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• 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.
  

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

We set out more than 160 years ago to promote the security of life and property at sea and preserve the natural environment. Today, we remain true to our mission and continue to support organizations facing a rapidly evolving seascape of challenging regulations and new technologies. Through it all, we are anchored by a vision and mission that help our clients find clarity in uncertain times. ABS is a global leader in marine and offshore classification and other innovative safety, quality, and environmental services. We’re at the forefront of supporting the global energy transition at sea, the application of remote and autonomous marine systems, cutting‑edge technical solutions, and many more exciting advancements. Our commitment to safety, reliability, and efficiency is ever‑present, guiding our clients to safer and more efficient operations.

ABS Bureau is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non‑work‑related characteristics that may be protected under the law of the Federal Government or specific state employment laws.

ABS and Affiliated Companies (ABS) will not pay a fee to any third‑party agency without a valid ABS Master Service Agreement (MSA) authorized and signed by Human Resources. Any resume, CV, application, or other forms of candidate submission provided to any employee of ABS without a valid MSA on file will be considered property of ABS, and no fee will be paid.

This job description is not intended, and should not be construed, to be an all‑inclusive list of responsibilities, skills, efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job.