Staff Software Engineer – Forward Deploy

Jones Lang LaSalle Americas, Inc.

. Design, deploy, and operate AI agents on Amazon Bedrock AgentCore .

Posted 11/12/2026full-timeRemote • Illinois • United StatesLead💰 $100,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents using Amazon Bedrock and Oracle AI Data Platform, with a strong focus on generative AI applications and RAG pipelines. Proficient in implementing security measures, debugging, and ensuring high-quality outputs in AI workflows.

Highest-signal resume keywords

Amazon BedrockOracle AI DatabaseGenerative AI ApplicationsRAG PipelinesPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DesignModel IntegrationPL/SQLEmbedding PipelinesDebuggingRoot-Cause AnalysisREST APIsSQLAWS ServicesCI/CD

Soft Skills

Clear CommunicationIndependent WorkTeam Collaboration

Tools & Technologies

Oracle AI Data PlatformAgentCoreLangChainFastAPIDockerJiraConfluenceCloudWatchAPI GatewayECS/EKS

Industry Keywords

AI/ML EngineeringData EngineeringKnowledge BasesEmbeddingMetadata Filtering

Tech Stack

Tools & technologies

AWSDockerOraclePythonSparkSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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