Hiring: Sr. Artificial Intelligence Engineer Company: Plymouth Rock Assurance Location: Greater Boston Job Posted Time: 2026-09-10 11:03:40 Employment Type: On-site Target Skills & Keywords : AI, AWS, Azure, Fine-tuning, GCP, GitHub, Hugging Face, Java, LLM, LangChain, LlamaIndex, MLOps, Machine Learning, NumPy, Pandas, Python, RAG, Regulatory Compliance, SciPy, Systems Design, scikit-learn About the job Experience: •5+ years of software engineering experience, including work with machine learning (ML) or AI systems. Required Skills: •Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity. •Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows. •Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases. •Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing. •Integrate AI/ML solutions with enterprise systems, APIs, and data platforms. •Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance. •Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration. •Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems. Qualifications: •Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field. •Hands-on experience building LLM-powered applications in production environments. •Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn. •OpenAI / Anthropic / Google, Open-source LLMs •LangChain, LlamaIndex, or similar orchestration frameworks •Understanding of prompt engineering, embeddings, and model evaluation. •Demonstrated capacity to collaborate with cross-functional teams. •Passion for technology and AI. Compensation: •$135,000 - $200,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!