Overview
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 stackfront?end, back?end, and cloudwhile 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
Responsibilities
- 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).
- 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.
- 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.
- 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.
- Architect for scale across the stack (MCP Servers, API design, state/queueing, caching, streaming, observability, multi?tenant isolation, cost controls)
- Translate product requirements into engineering designs (specs, sequence diagrams, API contracts); drive design and architecture board reviews.
- Integrate agents with existing services and new microservices (front?end + back?end), delivering highly scalable and resilient solutions
- Support in release and incident management and monitoring.
- Champion engineering excellence: code reviews, testing, accessibility considerations, performance optimization, and secure coding practices.
Qualifications
- 4+ years of experience in Python/Typescript full-stack development (Frontend can be React, Angular, Vue etc)
- Experience in building Agentic AI applications & MCP Tools using any of the frameworks - Agents SDK, Langgraph, Langchain, CrewAI, ADK
- Experience building online and offline evals for Agentic systems - good to have
- Good knowledge of prompting techniques -- a must
- Experience with AWS or other cloud platforms, including deploying and managing cloud-based systems
- Familiarity with databases (relational and NoSQL), query optimization, and data modeling.
- Knowledge of RESTful API design and best practices.
- Familiarity with containerization tools like Docker and CI/CD pipelines.
- Strong problem-solving skills and ability to thrive in a collaborative team environment.
