Job Title: Artificial Intelligence Engineer Company Name: HD Tech Recruit Job Url: https://www.linkedin.com/jobs/view/4384792923/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=X2EQ5XqjxA5XXmF%2F865LrA%3D%3D&trackingId=n4Zzc%2BPavTJMYzjFJOvnhA%3D%3D Job Description: HD Tech Recruit Artificial Intelligence Engineer United States · 7 hours ago · Over 100 applicants Promoted by hirer · No response insights available yet $150K/yr - $180K/yr Remote Full-time Easy Apply Save Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features with Premium. Try Premium for Rs 0 Show match details Tailor my resume Help me stand out People you can reach out to Meet the hiring team Theo Hudson • 3rd Recruitment Consultant - Henderson Drake Job poster Message About the job AI/ML Engineer – Agentic AI & LLM Workflows Location: Remote (USA-based only) About the Role: Our client is building enterprise-grade AI bots to transform finance operations using agentic AI and LLM-driven workflows. This role focuses on developing and deploying production-ready AI systems that integrate with ERP and EPM workflows, enabling automation, insight generation, and cross-domain decision-making. You’ll report to a senior technical lead and play a hands-on role in shaping the architecture, workflow design, and deployment of AI bots at scale. Key Responsibilities: Build and deploy agentic AI workflows and multi-agent bots using LLMs. Develop and maintain Python-based AI/ML pipelines for data ingestion, transformation, and automation. Integrate AI systems into ERP/EPM workflows to enable actionable insights and automation. Implement monitoring, QA, and governance frameworks to ensure reliability, auditability, and reproducibility of AI systems. Translate business requirements into production-ready AI solutions. Maintain version-controlled workflows, reproducible environments, and automated deployment. Evaluate, benchmark, and optimize LLMs and agentic AI models for enterprise-scale deployment. Required Skills & Experience: Strong Python programming and software engineering experience. Hands-on experience with LLMs (OpenAI GPTs, Claude, LLaMA, etc.) and agentic AI platforms. Familiarity with AI orchestration frameworks: LangChain, LangGraph, Semantic Kernel, AutoGen, etc. Understanding of ERP/EPM systems and enterprise finance workflows. Experience designing and maintaining production-ready AI systems with testing, monitoring, and governance. Knowledge of RAG pipelines, workflow automation, and multi-agent systems. Cloud AI experience (Azure, AWS, Vertex AI) is a plus. Desired Attributes: Strong problem-solving and technical execution skills. Experience taking AI concepts from prototype to production. Ability to work independently and collaboratively in cross-functional teams. Passion for building auditable, agentic AI systems. Set alert for similar jobs Artificial Intelligence Engineer, United States