Description

The Lead AI Engineer will own the end‑to‑end architecture for AI products, including model selection, multi‑agent workflow orchestration, and data retrieval designs such as RAG and knowledge graphs. They will evaluate emerging technologies, create reusable AI services and SDKs, and establish standards for prompt design, evaluation, observability, and incident response.

In addition to technical leadership, the role involves mentoring AI, ML, and data science engineers, conducting design and code reviews, and fostering an AI engineering culture focused on innovation, quality, and responsible AI. The engineer will collaborate with product, design, and business stakeholders to define high‑value use cases, shape roadmaps, and lead cross‑functional projects from concept to production.

• Design data and retrieval systems such as RAG, hybrid search, knowledge graphs, and semantic caching.
• Evaluate and integrate emerging technologies like next‑gen LLMs, multimodal models, real‑time streaming, and advanced agent frameworks.
• Build shared AI services and SDKs, including reusable RAG pipelines, UI components, and modular back‑end processes.
• Establish standards for prompt design, model evaluation, observability, logging, and incident response.
• Provide hands‑on technical leadership, code reviews, and mentorship for AI/ML engineers and data scientists.
• Partner with product, design, and business teams to define high‑value AI use cases, shape roadmaps, and set success metrics.
• Lead cross‑functional AI projects from concept through production, ensuring timely, reliable delivery and iterative improvement.
• Define offline/online evaluation metrics, human evaluation workflows, and govern AI safety, bias, PII, and regulatory compliance.
• Optimize performance, cost, and reliability through model routing, distillation, caching, infrastructure right‑sizing, and SLA/SLO management.
• Development of multimodal, real‑time agents (voice, text, UI streaming).
• Building AI products under strict regulatory or privacy requirements.
• Crafting organizational AI strategies, standards, and hiring roadmaps.

Requirements

The position requires at least eight years of software or ML engineering experience, with three years of hands‑on applied AI/LLM work and two years in a senior or lead capacity. Required skills include Python, TypeScript/JavaScript, cloud‑native distributed systems (GCP, Azure, or AWS), container orchestration, LLM‑based application design, RAG architectures, AI observability, and strong communication abilities.

• Own end‑to‑end AI product and platform architecture, including model selection and multi‑agent workflow design.
• 8+ years software/ML engineering experience with at least 3 years applied AI/LLM work and 2 years in a senior/lead role.
• Strong proficiency in Python and TypeScript/JavaScript for production systems.
• Experience designing, deploying, and operating cloud‑native distributed systems (GCP, Azure, or AWS) with Docker and Kubernetes.
• Proven ability to ship complex AI systems at scale and lead multi‑engineer initiatives.
• Deep knowledge of LLM application design, prompting, tool use, and multi‑agent workflows.
• Expertise in RAG architectures, vector databases, and retrieval optimization.
• Skills in AI observability, monitoring, and evaluation framework implementation.
• Excellent communication skills for presenting AI concepts to executives and cross‑functional partners.
• Hands‑on experience with coding assistants such as Windsurf, Cursor, or Codex.
• Familiarity with AI experiment tracking tools (OpenAI Evals, Langsmith).
• Background in data platforms, feature stores, and event streaming (Kafka).
• Experience with browser automation tools like Playwright.

Benefits

RealPage offers a competitive salary ($125,700‑$213,900 annually) plus health, dental, vision insurance, a matched retirement plan, paid time off, hybrid/remote flexibility, professional development, and performance‑based bonuses. The company is an equal‑opportunity employer committed to an inclusive workplace.

• Competitive salary ranging from $125,700 to $213,900 per year.
• Health, dental, and vision insurance.
• Company‑matched retirement savings plan.
• Paid time off, holidays, and flexible hybrid/remote work options.
• Professional development opportunities and performance‑based bonuses.

Training + Development

Interview process

Visa Sponsorship

Security clearance