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Forward Deploy Staff Software Engineer

Summary by AIEngineer.careers

Forward Deploy Staff Software Engineer is a AI Engineer role (full-time). with JLL. in CHICAGO, US. Compensation shown: $100K–$240K. Imported listing (source: oceanofjobs.com). Apply on the employer's site (oceanofjobs.com).

Imported listing (source: oceanofjobs.com) · Apply on oceanofjobs.com

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CHICAGO · US
$100K–$240K
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from oceanofjobs.com

JLL is building AI into how its teams work with enterprise data. As an AI Engineer, you will turn proofs of concept into reliable, governed production services, building agents that call tools, retain context, respect permissions, and are traced, evaluated, and costed. You will work across two tracks: agent engineering on AWS (Amazon Bedrock and AgentCore) and data/AI engineering on Oracle (AI Data Platform and AI Database).

Responsibilities

  • Design, deploy, and operate AI agents on Amazon Bedrock AgentCore using Runtime, Gateway, Memory, Identity, and Observability
  • Build RAG and agent solutions with Amazon Bedrock foundation models, Knowledge Bases, Agents, and Guardrails
  • Develop on Oracle AI Data Platform using Master Catalog assets, Spark notebooks, and medallion data patterns
  • Implement AI Vector Search, hybrid retrieval, Select AI natural-language-to-SQL, and in-database ML on Oracle AI Database
  • Integrate Oracle data services with AWS-hosted AI applications through secure APIs
  • Own retrieval quality including chunking, embedding strategy, metadata filtering, reranking, and evaluation
  • Apply IAM least privilege, data access controls, PII handling, and guardrails against prompt injection
  • Build evaluation and regression suites for LLM output and verify behavior end to end
  • Ship Python services to production on AWS and monitor latency, quality, and cost
  • Participate in sprint ceremonies, code and design reviews, and maintain documentation and runbooks

Requirements

  • 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 with tool calling and multi-step orchestration
  • Experience with Amazon Bedrock and AWS-native deployment
  • Experience with Oracle Database or Oracle AI Database
  • 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
  • Authorized to work in the US without visa sponsorship

Nice to Have

  • Hands-on Amazon Bedrock AgentCore experience
  • Experience with Oracle AI Data Platform
  • Experience with AgentCore Identity and Gateway
  • Experience with Oracle Cloud Infrastructure, Apache Spark, or medallion-architecture pipelines
  • Infrastructure as code (Terraform) and Kubernetes experience
  • Experience with Strands Agents or migrating Bedrock Agents to a code-first framework
  • Experience with LLM gateways, token and cost tracking, and usage analytics
  • AWS or OCI Generative AI certifications

Benefits

401k matchingmedical insurancedental insurancevision insurancepaid parental leavepaid time offcompany holidays

Tech Stack

Amazon BedrockAmazon Bedrock AgentCoreAmazon S3Apache SparkAPI GatewayAWS LambdaCI/CDCloudWatchConfluenceDockerECSEKSFastAPIGitIAMJiraKubernetesLangChainLangGraphLlamaIndexModel Context ProtocolOCI Generative AIOracle AI DatabaseOracle AI Data PlatformPL/SQLPythonRAGSecrets ManagerSQLStep FunctionsTerraformVPC
J

JLL

Chicago · US · 113000+ employees

JLL (Jones Lang LaSalle Incorporated) is a leading global commercial real estate services and investment management company, founded in 1783 and listed on the NYSE. With 113,000+ professionals in 80+ countries and $26.1B in annual revenue, it serves 95% of top global investors and half of the Fortune 500 across the real estate lifecycle.

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