AI/ML Engineer 2

At Day & Zimmermann, we leverage over a century of experience to drive innovation in construction & engineering, operations & maintenance, staffing, and security & defense. With 37,000+ employees, 900+ worldwide locations, and $3 billion USD in annual revenue, we deliver impactful solutions that power and improve the world.

About the role

Responsible for the end-to-end design, development, and deployment of advanced AI and machine learning solutions in support of D&Z AI initiatives. This senior engineering role requires expertise in both generative AI application development and traditional machine learning, including LLM-based agents, RAG systems, MCP (Model Context Protocol) servers, and predictive models. The AI/ML Engineer 2 owns complex projects independently, drives technical architecture decisions, evaluates emerging AI tools, and mentors junior team members. This position collaborates with cross-functional stakeholders to integrate AI/ML solutions into business processes and communicates technical concepts to diverse audiences. Remote candidates are welcome; preference given to those local to an office location or willing to relocate for hybrid work.

Responsibilities

• Design, build, and deploy production-grade generative AI applications, including AI agents, RAG chatbots, workflow automations, and MCP servers using modern frameworks and vector databases.
• Develop and deploy production-grade predictive models using machine learning techniques (regression, classification, clustering, time series).
• Author custom skills, prompts, slash commands, and evaluation harnesses to improve AI application quality using tools like Claude Code, Codex, and Cursor.
• Define and own production monitoring, drift detection, online/offline metrics, and retraining strategies for AI/ML systems; apply statistical methods to validate outputs.
• Own data engineering and pipeline infrastructure, including retrieval architectures, embeddings, context engineering, and model training/fine-tuning workflows.
• Review code, mentor junior engineers, and contribute to team-wide engineering standards, documentation, and knowledge management.
• Present results and deliver live demonstrations of AI/ML solutions to technical and executive audiences.

Requirements

• Deep hands-on experience building production LLM applications with providers like Anthropic, OpenAI, Google, or open-source models; expertise in prompt engineering, RAG with vector databases, AI agent design, tool use, and MCP server development.
• Proficiency in ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow) and statistical analysis, including hypothesis testing, feature engineering, model optimization, and monitoring.
• Strong Python skills for ML and AI application development; ability to write production-grade, maintainable, well-tested code.
• Strong SQL skills for data extraction, cleaning, transformation, and pipeline development; experience deploying ML/AI workloads on-premises and in cloud platforms (AWS, Azure, GCP).
• Proficiency in Git, CI/CD pipelines, containerization, API development, and observability (logging, tracing, cost/token monitoring) for LLM applications.
• Experience with AI coding tools (Claude Code, Codex, Cursor), including configuring custom skills and integrating them into team workflows.
• Ability to lead technical discovery, make architecture decisions, review code, mentor junior engineers, and raise team standards.
• Skilled at creating dashboards, visualizations, live demos, and technical presentations for diverse stakeholders.
• Experience gathering requirements, working in cross-functional teams, and producing clear documentation and user guides.

Qualifications

• Bachelor’s Degree in IT, Computer Science, or related field (highly preferred). Will consider 7 years of relevant experience in lieu of degree.
• 4+ years of relevant experience.
• Successful completion of background screening process.

Essential Functions

• Visual acuity (e.g., preparing/analyzing data, transcribing documents, viewing a computer).
• Manual dexterity (e.g., typing, picking, pinching).
• Grasping (e.g., applying hand pressure).
• Hearing and talking (e.g., conveying spoken instructions).
• Capacity to think, concentrate, and focus for extended periods.
• Ability to write and read complex documents in English.
• Capacity to reason, make sound decisions, and express thoughts orally.
• Ability to perform all job functions at the Company’s office or work site.

Pay

The salary range for this role is $101,840.00 - $165,490.00. Final offer may vary based on experience and geographic location.

Benefits

• Comprehensive benefits package including medical, dental, and vision coverage.
• Life, AD&D, and disability insurance.
• Flexible spending accounts.
• 100% paid maternity leave for up to 12 weeks; parental, family, and other paid time off.
• Voluntary benefits and discount programs, including pet insurance.