We are looking for a Full Stack AI Engineer to join our Agentic AI team. In this role, you will design and build scalable systems that power conversational AI agents and orchestrate agentic workflows. You’ll work across the stack—front‑end, back‑end, and cloud—while leveraging AI coding assistants and modern agentic frameworks to deliver enterprise‑grade solutions. A key part of your responsibilities will include developing and automating evals to rigorously test Agentic AI applications for performance, reliability, and safety.

About the Team

Our Agentic AI team is pioneering agentic AI development in the prop tech domain. We build extensive Agentic AI solutions spanning across multiple B2B and B2C use cases. Our mission is to deliver intelligent, autonomous systems that improve engagement, reduce operational overhead, and ensure compliance and quality

This team has been coming to our HQ one week out of the month - it will be expected that you will travel to the corporate HQ from time to time.  

1. 1. Build and orchestrate AI agents end‑to‑end: design tasks, tools, memory, planning, and guardrails; implement agent workflows using modern agentic frameworks (e.g., LangChain, Agents SDKs).
   2. Clear communication and cross‑functional collaboration with Product, QA, Support, Design and our Customers to deliver outcomes; communicate technical decisions and trade‑offs clearly to both technical and non‑technical stakeholders.
   3. Develop with AI coding assistants (e.g., Copilot‑style tools) to accelerate delivery while ensuring output meets enterprise design, coding, security, reliability, performance, and compliance standards. Ensure you do not over-engineer solutions. Manage coding agents.
   4. Eval first development (offline/online) focused on Agentic AI application quality: define and build metrics and KPIs that showcase agent performance and business impact. Contribute to existing eval framework or standardizing evals across AI products at RealPage.
   5. Architect for scale across the stack (MCP Servers, API design, state/queueing, caching, streaming, observability, multi‑tenant isolation, cost controls)
   6. Translate product requirements into engineering designs (specs, sequence diagrams, API contracts); drive design and architecture board reviews.
   7. Integrate agents with existing services and new microservices (front‑end + back‑end), delivering highly scalable and resilient solutions
   8. Support in release and incident management and monitoring.
   9. Champion engineering excellence: code reviews, testing, accessibility considerations, performance optimization, and secure coding practices.

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, or equivalent industry experience.
• 5+ years in ML engineering and/or Data Science, with at least 2 years in Generative AI, transformers, and large language models (LLMs).
• This team has been coming to our HQ one week out of the month - it will be expected that you will travel to the corporate HQ from time to time. 
• Strong proficiency in Python and SQL, experience in writing production-grade code.
• Proficiency in prompt engineering to enhance model output reliability and quality.
• Familiarity with Vector embeddings, RAG architectures and Agentic frameworks for sophisticated GenAI applications.
• Expertise in cloud platforms for AI (AWS SageMaker, GCP AI, Azure ML) and experience with containerization (Docker), orchestration (Kubernetes), and CI/CD practices.
• Demonstrated ability to lead projects and mentor team members in Agile environments, driving collaboration and fostering team effectiveness.
• Exceptional communication skills to effectively convey complex technical subjects to both technical and non-technical stakeholders. #LI-JL1 #LI-REMOTE#LI-JL1 #LI-REMOTE