Senior Software Engineer

Jones Lang LaSalle Americas, Inc.

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

Posted 11/6/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents using Amazon Bedrock and Oracle AI Database, with a strong focus on implementing generative AI applications and managing data workflows. Proficient in debugging, root-cause analysis, and ensuring secure, efficient AI operations in a distributed environment.

Highest-signal resume keywords

Amazon BedrockOracle AI DatabaseGenerative AI ApplicationsDebugging and Root-Cause AnalysisAWS Deployment

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DesignFoundation-Model IntegrationPL/SQLRAG PipelinesEmbedding PipelinesData Pipeline DevelopmentAPI IntegrationInfrastructure as CodeKubernetesOracle Cloud Infrastructure

Soft Skills

Clear CommunicationIndependent WorkTeam Collaboration

Tools & Technologies

Amazon Web ServicesOracle AI Data PlatformApache SparkCloudWatchAgentCore ObservabilityLambdaAPI GatewayECS/EKSStep FunctionsSecrets Manager

Certifications & Qualifications

AWS Generative AI CertificationOracle Cloud Infrastructure Certification

Industry Keywords

AI/ML EngineeringData EngineeringGenerative AILLM-Based ApplicationsMedallion Architecture

Tech Stack

Tools & technologies

ApacheAWSCloudKubernetesOraclePythonSparkSQL

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 Master 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
Connect 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-enforced access control, PII handling, prompt-injection protections, unsafe-output guardrails, and audit trails
Build evaluation and regression suites for LLM output and verify end-to-end behavior against real services
Deploy Python services to 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 reviews, and design reviews
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
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
Ability to work independently in a distributed team
Bachelor’s degree or higher in Computer Science, AI, or a related field is preferred
Experience with AgentCore Identity and Gateway for secure, tool-enabled agents is preferred
Experience with Oracle Cloud Infrastructure, Apache Spark, or medallion-architecture data pipelines is preferred
Infrastructure as code and Kubernetes experience is preferred
Experience with agent frameworks such as Strands Agents, or migrating Bedrock Agents to a code-first framework is preferred
Experience with LLM gateways, token and cost tracking, and usage analytics is preferred
Relevant AWS or Oracle Cloud Infrastructure Generative AI certifications are preferred

Benefits

Comp & perks

Remote work arrangement
Equal opportunity employer
Reasonable accommodations for individuals with disabilities