
10,000+ employees
🏠 Real Estate
🤝 B2B
💼 Consulting
Real Estate • B2B • Consulting
Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.
🔥 0 minutes ago
Where this job comes from
Posted on Jones Lang LaSalle Americas, Inc.'s careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

10,000+ employees
🏠 Real Estate
🤝 B2B
💼 Consulting
Real Estate • B2B • Consulting
Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.
• Design, deploy, and operate AI agents on Amazon Bedrock AgentCore • Implement foundation-model integrations, Knowledge Bases, Agents, Guardrails, prompts, and model selection • Develop on Oracle AI Data Platform using catalog assets, Spark notebooks, workflows, medallion data patterns, knowledge bases, and agent flows • Implement Oracle AI Database capabilities including AI Vector Search, hybrid retrieval, Select AI, in-database ML, embedding pipelines, and PL/SQL • Integrate Oracle data services with AWS-hosted AI applications through secure APIs and swappable service interfaces • Own chunking, embedding, metadata filtering, reranking, retrieval tuning, and repeatable retrieval evaluations • Apply IAM least privilege, database access controls, PII handling, prompt-injection protections, output guardrails, and audit trails • Build evaluation and regression suites for LLM output and verify end-to-end behavior against real services • Deploy and operate Python services on AWS using Lambda, API Gateway, S3, ECS/EKS, Step Functions, and Secrets Manager • Monitor latency, quality, and cost with CloudWatch and AgentCore Observability • Participate in sprint ceremonies, code and design reviews, and maintain documentation, runbooks, and knowledge-transfer material
• 4-8 years of software, data, or AI/ML engineering experience • Hands-on delivery of generative AI or LLM-based applications in production or near-production • Proven experience building RAG pipelines and agentic workflows, including tool calling and multi-step orchestration • Experience with Amazon Bedrock and AWS-native deployment; hands-on AgentCore experience strongly preferred • Experience with Oracle Database or Oracle AI Database; Oracle AI Data Platform experience strongly preferred • Strong debugging and root-cause analysis skills, including tracing non-deterministic model behavior • Clear written and verbal communication and ability to work independently in a distributed team • Bachelor’s degree or higher in Computer Science, AI, or a related field is preferred • Proficiency with Amazon Bedrock, Bedrock AgentCore, Oracle AI Database, Oracle AI Data Platform, RAG, agentic workflows, LangChain, LangGraph or LlamaIndex, MCP, embeddings, chunking, reranking, structured LLM output, AWS services, Python, REST APIs, SQL, FastAPI or similar frameworks, IAM, PII handling, Git, CI/CD, Docker, Jira, and Confluence • Must be authorized to work in the United States without sponsorship
• 401(k) plan with matching company contributions • Comprehensive Medical, Dental & Vision Care • Paid parental leave at 100% of salary • Paid Time Off and Company Holidays • Early access to earned wages through Daily Pay • Supportive culture and comprehensive benefits package prioritizing mental, physical and emotional health
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