Apogee Global RMS is looking for a Senior AI Engineer who will lead the design, development, and deployment of advanced GenAI and LLM‑powered solutions across cloud platforms. This role requires deep expertise in modern AI architectures, hands‑on experience with large‑scale model development, and the ability to build secure, scalable, cloud‑native systems. Qualified professional will collaborate closely with engineering, data, and product teams to deliver high‑impact AI capabilities that accelerate innovation across the organization. Key Responsibilities: - Architect and implement GenAI and LLM‑based systems, including fine‑tuning, evaluation, and optimization - Build scalable pipelines for data processing, model training, inference, and continuous improvement - Deploy and manage AI workloads across AWS, Azure, or GCP using cloud‑native services - Integrate embeddings, vector search, and RAG pipelines into production environments - Optimize GPU/accelerator utilization for distributed training and high‑performance inference - Develop automation for CI/CD, MLOps, observability, and model lifecycle management - Ensure cloud security, compliance, and cost‑efficient resource allocation - Evaluate emerging AI frameworks, tools, and cloud services to drive innovation - Partner with cross‑functional teams to translate business needs into technical solutions

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're in search of a Senior AI Engineer to join our team right away. Our ideal candidate brings hands-on experience building and deploying AI solutions and a strong understanding of the rapidly evolving AI landscape. We value engineers who pair strong technical foundations with curiosity, creativity, and the ability to quickly prototype innovative AI-powered applications. - Design, build, and deploy AI-powered applications and services that integrate with existing systems and workflows. - Prototype and iterate on AI solutions rapidly, translating business needs into functional AI features within short development cycles. - Develop and implement agentic AI workflows (e.g., planning, reflection, tool use) using modern orchestration frameworks such as LangGraph. - Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model accuracy, reliability, and performance. - Prepare and manage multimodal datasets by cleaning, transforming, and structuring complex data sources including documents, PDFs, and images. - Stay current with the evolving AI ecosystem—evaluating new models, benchmarking performance, and selecting the right tools for each use case. Qualifications - Proven experience building, deploying, and maintaining AI-powered solutions in production environments. - Strong understanding of modern AI/LLM ecosystems, including model evaluation, benchmarking, and selecting models for specific tasks. - Experience implementing agentic workflows (e.g., planning, reflection, tool use) and orchestration frameworks such as LangGraph or similar systems. - Proficiency with web application development using Next.js, React, and Python backend frameworks such as FastAPI or Flask. - Experience with prompt engineering, retrieval-augmented generation (RAG), and integrating AI capabilities via REST APIs. - Familiarity with cloud infrastructure (AWS preferred), Databricks, Oracle ERP and agentic AI frameworks. - Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, agile environment. Requirements - Schenectady, New York - 100% Remote for the right candidate Benefits - Salary Range: $120,000 - $160,000+ - Salary is negotiable and the range can be increased based on qualifications, certifications and experience - Free Health Insurance Option for all (Single, 2 - Party and Family) - 401k Safe Harbor Plan - Profit Sharing Program - Generous PTO - Maternity / Paternity Leave - Side Hustle Opportunities - Certification Reimbursement and Bounty Programs Other Information - The work hours will be approximately 9:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. - We work for security-conscious clients, thus background checks will be required. - Salary dependent upon experience.

• Design, build, and deploy AI-powered applications and services that integrate with existing systems and workflows. • Prototype and iterate on AI solutions rapidly, translating business needs into functional AI features within short development cycles. • Develop and implement agentic AI workflows (e.g., planning, reflection, tool use) using modern orchestration frameworks such as LangGraph. • Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model accuracy, reliability, and performance. • Prepare and manage multimodal datasets by cleaning, transforming, and structuring complex data sources including documents, PDFs, and images. • Stay current with the evolving AI ecosystem—evaluating new models, benchmarking performance, and selecting the right tools for each use case.

• Drive Generative AI vision, strategy, and platform architecture end-to-end • Design and build backend systems and APIs for AI-driven products and agentic frameworks • Integrate Large Language Models (LLMs) into scalable, production-ready applications • Establish reusable frameworks for model building, deployment, monitoring, and rollback • Build guardrails, compliance rules, and approval workflows into the GenAI platform • Implement monitoring, logging, tracing, and alerting across all AI systems • Define peer review and validation processes for user-generated AI models and applications • Create onboarding guides, templates, and sandbox environments for developers • Mentor and upskill engineers; champion best practices across the team • Communicate platform decisions and AI concepts clearly to non-technical stakeholders