Senior Software Engineer

Job not on LinkedIn

🔥 4 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

• 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

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

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