Entrata
Entrata
Entrata बहु-परिवार, छात्र, किफायती, सैन्य और वाणिज्यिक आवास के लिए प्रॉपर्टी मैनेजमेंट तकनीक विकसित करती है। इसका एकीकृत प्लेटफ़ॉर्म लीज़िंग, मार्केटिंग, सुविधाओं के प्रबंधन, उपयोगिता प्रबंधन, वित्तीय लेखांकन और अन्य संचालन संबंधी कार्यप्रवाहों को एक ही प्रणाली में जोड़ता है। AI और ऑटोमेशन निवासी संवाद, लीज़िंग और निर्णय लेने जैसे कार्यों में सहायता करते हैं, जबकि ResidentPortal और homebody सेवाओं सहित इसके उत्पाद निवासियों के अनुभव को बेहतर बनाने के लिए बनाए गए हैं। Entrata का सॉफ़्टवेयर प्रॉपर्टी प्रबंधकों को जटिल आवास संचालन का समन्वय करने तथा अधिक दक्षता, बेहतर शुद्ध परिचालन आय और उन्नत लाभप्रदता की दिशा में काम करने में मदद करता है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • Entrata provides equal employment opportunity regardless of protected characteristics.
  • Work in a diverse and inclusive workplace.
  • Join an environment free from discrimination.

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