Software Engineer, Applied AI

Overview

Design, build, and deploy production AI systems and full-stack applications.

Key Responsibilities

• prototyping
• ai systems
• full‑stack
• evaluation
• best practices
• deployment

Tasks

-* Prototype rapidly**: Transform research concepts into production-grade systems through fast iteration, disciplined testing, and continuous refinement. -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. -* Shape best practices**: Contribute to internal standards for applied AI development, evaluation, and deployment at scale.

Requirements

• llm
• mlops
• langchain
• full-stack
• rag
• 5+ yrs

What You Bring

-* Experience designing evaluation frameworks and truth sets for applied AI quality assurance -* Experience with LLM fine-tuning, prompt design, and model performance evaluation -* Familiarity with MLOps practices: CI/CD, model versioning, monitoring, and deployment at scale -Strong expertise in agent frameworks and LLM orchestration (API-first development, Vercel AI SDK, LangChain, etc.) -* Bachelor’s degree in computer science, Engineering, or a related field -* Full-stack engineering skills across modern web and backend technologies -* Strong grounding in applied information retrieval and vector-based systems -* Deep knowledge of RAG architectures, embeddings, vector databases, and retrieval optimization strategies -* Proven track record delivering AI agents, RAG pipelines, or fine-tuned models with measurable business impact -* 5+ years of software development experience, including 3+ years building production-grade AI systems

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About Abs Group

-.originally focused on marine and offshore services, it expanded across industrial manufacturing, oil, gas, chemicals, energy, government, life sciences and LNG sectors. -headquartered in Spring, Texas, the firm operates globally, delivering data-driven solutions to secure critical assets and operations. -typical projects include process safety management, integrity assurance, asset reliability programs, certification services and digital risk analytics. -their work spans high-stakes industries—from offshore vessel inspections to LNG facility maintenance and governmental risk management. -with heritage rooted in marine classification since 1971, they uniquely blend classification-grade rigor with modern analytics. -they’re notable for pioneering maritime cybersecurity, AI-enhanced inspections and software solutions like fleet management platforms.

Sector Specialisms