Entrata develops property management technology for multifamily, student, affordable, military, and commercial housing. Its unified platform combines leasing, marketing, facilities management, utility management, financial accounting, and other operational workflows in one system. AI and automation support tasks such as resident interactions, leasing, and decision-making, while products including ResidentPortal and homebody services are designed to improve the resident experience. Entrata’s software helps property managers coordinate complex housing operations and work toward greater efficiency, stronger net operating income, and improved profitability.
AI Software Engineer, India (Hybrid)
Build and operate production LLM and agent systems for Entrata’s AI-powered property management platform. Lead orchestration, retrieval, evaluation, and deployment across the AI product lifecycle.
Description
- Build and maintain production LLM, agent, retrieval, and machine-learning workflows, platforms, and product features with structured orchestration patterns.
- Design and operate agent graphs, MCPs, state transitions, routing, retries, fallbacks, escalation paths, and tool integrations.
- Develop prompting approaches spanning system and task prompts, tool instructions, response schemas, guardrails, and multi-agent interactions.
- Design short-term state, long-term memory, conversation history, summarization, retrieval, and privacy controls.
- Choose and configure models according to capability, latency, cost, context limits, operational requirements, and reliability.
- Use AWS AI services, including Amazon Bedrock and AgentCore, to build, deploy, and operate AI systems.
- Connect agents to tools, APIs, databases, and existing application services.
- Develop retrieval and grounding approaches covering chunking, embeddings, ranking, metadata, filtering, and source attribution.
- Build and expand quantitative and qualitative evaluation suites.
- Investigate unexpected agent behavior and establish monitoring and observability for AI systems.
- Take AI initiatives from technical design through production launch and continued improvement.
- Develop, test, debug, and maintain supporting application code and backend services.
- Partner with product, design, data science, and engineering teams while contributing technical guidance and code reviews.
Requirements
- Bring 1–4 years of software engineering or related experience, including at least 2 years working with AI, data science, or adjacent technologies.
- Demonstrate strong proficiency in Python, JavaScript, TypeScript, or a comparable programming language.
- Have strong practical knowledge of Node.js and JavaScript or TypeScript.
- Have built and operated LLM or agentic systems in production.
- Understand prompting, tool calling, structured outputs, agent orchestration, state management, context construction, and memory.
- Have designed agent graphs, multi-step workflows, routing strategies, and failure-handling behavior.
- Understand how to select and assess models while balancing quality, latency, cost, and reliability.
- Have practical experience with Amazon Bedrock, AgentCore, or comparable cloud AI services.
- Have experience with RAG systems, vector databases, embeddings, ranking, and grounding methods.
- Have created quantitative and qualitative evaluations for LLM and agent behavior.
- Use traces, logs, production data, and evaluation findings to investigate AI system failures.
- Understand MCPs, APIs, distributed services, databases, cloud platforms, containers, CI/CD, and observability.
- Bring strong system design, communication, ownership, and collaboration skills.
Benefits
- Entrata provides equal employment opportunity regardless of protected characteristics.
- Work in a diverse and inclusive workplace.
- Join an environment free from discrimination.