Developer III

Description

• Evaluate and implement LLMs, vector databases, RAG architectures, and agentic frameworks based on project needs.
• Develop an understanding of RealPage’s products, workflows, and customer needs to ensure AI solutions deliver meaningful impact.
• Work with LLMs and multimodal models from various vendors (OpenAI GPT, Google Gemini, xAI Grok, Anthropic Claude, etc.).
• Participate in model benchmarking and continuous improvement cycles.
• Build AI-powered features such as conversational assistants, summarization systems, OCR pipelines, copilots, and agentic workflows.
• Work closely with AI engineers, software engineers, product managers, and designers to deliver integrated AI experiences.
• Produce clean, production-ready Python and JavaScript/TypeScript code.
• Build prototypes and PoCs to explore new ideas and validate approaches.
• Build end-to-end features, including UI integrations (React/Vue/Svelte) and backend services (MCP, WebRTC, REST, gRPC ).
• Develop reliable, optimized prompts for various generative AI use cases.
• Stay current with emerging AI trends and tools.
• Address edge cases, reduce hallucinations, and improve model consistency.
• Contribute to evaluation frameworks that test LLM performance, grounding, safety, and reliability.

Requirements

• Knowledge of multi-turn conversation design and dialogue management.
• Bachelor’s/ Master’s degree in Computer Science , Machine Learning, Data Science, or equivalent experience.
• Strong proficiency in Python, JavaScript/TypeScript, and SQL.
• Experience building voice-enabled AI experiences using STT APIs, TTS engines, or realtime audio (WebRTC, Twilio Voice, Socket.IO).
• Experience with frameworks like OpenAI Agent SDK, AI SDK, LangChain , AutoGen , CrewAI , Mastra .
• Familiarity with AI observability tools ( LangSmith , OpenTelemetry ).
• 4–6 years in Software Engineering or Data Science, with 1–2 years of hands-on experience in Generative AI and LLMs.
• Practical experience with LLMs, embeddings, vector stores, RAG patterns, and agentic frameworks.
• Communicate technical concepts clearly to both technical and non-technical collaborators.
• Strong analytical and communication skills .
• 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.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance