[Hiring] Forward Deploy Staff Software Engineer @JLL

Role Description

As an AI Engineer at JLL, you will turn proofs of concept into reliable, governed, production services: agents that can call tools, remember context, respect user permissions, and be traced, evaluated, and costed. You will work across both technology tracks as project priorities shift: agent engineering on AWS and data and AI engineering on Oracle.

• Build agents on AWS:
  • Design, deploy, and operate AI agents on Amazon Bedrock AgentCore.
  • Use AgentCore Runtime for hosting, Gateway to expose APIs and Lambda functions as tools, Memory for context, Identity for secure access, and Observability for tracing and debugging.
• Build RAG and agent solutions with Amazon Bedrock:
  • Implement foundation-model integrations, Knowledge Bases, Agents, and Guardrails.
  • Manage prompts and model selection for cost, latency, and quality.
• Build on Oracle AI Data Platform (AIDP):
  • Develop in the AIDP Workbench using Master Catalog assets, Spark notebooks, and workflows.
  • Apply medallion data patterns and build knowledge bases and agent flows on governed enterprise data.
• Build on Oracle AI Database:
  • Implement AI Vector Search, hybrid retrieval, Select AI natural-language-to-SQL interfaces, and in-database ML.
• Integrate across platforms:
  • Connect Oracle data services with AWS-hosted AI applications through secure APIs.
• Engineer retrieval quality:
  • Own chunking and embedding strategy, metadata filtering, reranking, and retrieval tuning.
• Secure and govern AI:
  • Apply IAM least privilege, database-enforced access control, and keep audit trails of agent actions.
• Test and evaluate:
  • Build evaluation and regression suites for LLM output and verify behavior end to end.
• Deploy and operate:
  • Ship Python services to production on AWS using Lambda, API Gateway, S3, ECS/EKS, Step Functions, and Secrets Manager.
• Collaborate and document:
  • Participate in sprint ceremonies and maintain documentation.

Qualifications

• 4-8 years of software, data, or AI/ML engineering experience.
• Bachelor’s degree or higher in Computer Science, AI, or a related field is preferred.
• Proven experience building RAG pipelines and agentic workflows.
• Experience with Amazon Bedrock and AWS-native deployment.
• Experience with Oracle Database or Oracle AI Database.
• Strong debugging and root-cause analysis skills.
• Clear written and verbal communication skills.

Requirements

• Generative AI on AWS: Amazon Bedrock foundation models, Knowledge Bases, Agents, and Guardrails.
• Oracle data and AI: Oracle AI Database and Oracle AI Data Platform.
• AI application engineering: RAG pipelines, agentic workflows, and structured LLM output.
• AWS cloud: Lambda, API Gateway, S3, ECS/EKS, Step Functions, IAM, and CloudWatch.
• Programming: Python, REST APIs, and SQL; FastAPI or similar async frameworks.
• Security and governance: IAM least privilege and data privacy controls.
• Delivery: Agile/Scrum, Git and CI/CD, Docker, Jira and Confluence.

Benefits

• 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.