Developer III

Job Description

Overview RealPage is leading the Generative AI transformation within the PropTech industry. Our Agentic AI team builds next-generation AI applications and enhances existing products using advanced Generative AI capabilities. As a Senior AI Engineer, you will design, build, and deploy AI-powered applications that solve real business problems at scale. You will work with foundation models, create robust prompting and RAG pipelines, integrate agentic frameworks, and collaborate with cross-functional teams to deliver impactful AI experiences for our users and clients. Responsibilities Responsibilities Agentic AI Engineering Work with LLMs and multimodal models from various vendors (OpenAI GPT, Google Gemini, xAI Grok, Anthropic Claude, etc.). Build AI-powered features such as conversational assistants, summarization systems, OCR pipelines, copilots, and agentic workflows. Evaluate and implement LLMs, vector databases, RAG architectures, and agentic frameworks based on project needs. Prompt Engineering Develop reliable, optimized prompts for various generative AI use cases. Address edge cases, reduce hallucinations, and improve model consistency. Application Development Build end-to-end features, including UI integrations (React/Vue/Svelte) and backend services (MCP, WebRTC, REST, gRPC ). Produce clean, production-ready Python and JavaScript/TypeScript code. Evaluation & Quality Contribute to evaluation frameworks that test LLM performance, grounding, safety, and reliability. Participate in model benchmarking and continuous improvement cycles. Cross-Functional Collaboration Work closely with AI engineers, software engineers, product managers, and designers to deliver integrated AI experiences. Communicate technical concepts clearly to both technical and non-technical collaborators. Innovation & Experimentation Stay current with emerging AI trends and tools. Build prototypes and PoCs to explore new ideas and validate approaches. Business Alignment Develop an understanding of RealPage?s products, workflows, and customer needs to ensure AI solutions deliver meaningful impact. Qualifications Qualifications 4?6 years in Software Engineering or Data Science, with 1?2 years of hands-on experience in Generative AI and LLMs. Bachelor?s/ Master?s degree in Computer Science , Machine Learning, Data Science, or equivalent experience. Strong proficiency in Python, JavaScript/TypeScript, and SQL. Practical experience with LLMs, embeddings, vector stores, RAG patterns, and agentic frameworks. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines. Ability to write clean, production-grade code and participate in system design discussions. Strong analytical and communication skills . Nice-to-Have Skills Experience with frameworks like OpenAI Agent SDK, AI SDK, LangChain , AutoGen , CrewAI , Mastra . Familiarity with AI observability tools ( LangSmith , OpenTelemetry ). Experience building voice-enabled AI experiences using STT APIs, TTS engines, or realtime audio (WebRTC, Twilio Voice, Socket.IO). Knowledge of multi-turn conversation design and dialogue management.