Sr. Software Engineer
Jones Lang LaSalle Incorporated2 days ago
Remote, India or Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, deploy, and operate AI agents on Amazon Bedrock AgentCore using Runtime, Gateway, Memory, Identity, Observability, and tool integrations.
- Build RAG and agent solutions with Amazon Bedrock, including foundation-model integrations, Knowledge Bases, Agents, Guardrails, prompt management, and model selection.
- Develop governed enterprise-data solutions on Oracle AI Data Platform using catalogs, Spark notebooks, workflows, knowledge bases, and agent flows.
- Implement AI Vector Search, hybrid retrieval, Select AI natural-language-to-SQL interfaces, in-database ML, embedding pipelines, and PL/SQL on Oracle AI Database.
- 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 evaluations of retrieval and LLM quality.
- Apply IAM least privilege, database access controls, PII handling, prompt-injection protections, unsafe-output guardrails, and audit trails.
- Build evaluation and regression suites for LLM outputs 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, cost, tracing, and debugging information using CloudWatch and AgentCore Observability.
- Participate in sprint ceremonies, code and design reviews, documentation, runbook creation, and knowledge transfer.
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 environments.
- Proven experience building RAG pipelines and agentic workflows with tool calling and multi-step orchestration.
- Experience with Amazon Bedrock and AWS-native deployment; AgentCore experience is strongly preferred.
- Experience with Oracle Database or Oracle AI Database; Oracle AI Data Platform experience is strongly preferred.
- Strong debugging and root-cause analysis skills, including tracing non-deterministic model behavior.
- Experience with Python, REST APIs, SQL, FastAPI or similar asynchronous frameworks, and cloud deployment.
- Experience with LangChain, LangGraph, LlamaIndex, Model Context Protocol, embedding, chunking, reranking, and structured LLM output.
- Knowledge of AWS Lambda, API Gateway, S3, ECS/EKS, Step Functions, IAM, VPC, CloudWatch, and Secrets Manager.
- Knowledge of IAM least privilege, data privacy controls, PII handling, responsible-AI guardrails, and governance.
- Experience with Git, Docker, Jira, Confluence, CI/CD, Agile/Scrum, and technical documentation.
- Preferred qualifications include OCI, Apache Spark, medallion data pipelines, Terraform, Kubernetes, Strands Agents, LLM gateways, cost tracking, usage analytics, and AWS or Oracle Cloud Infrastructure Generative AI certifications.
- Clear written and verbal communication and the ability to work independently in a distributed team.
Benefits
- Remote work arrangement in Bengaluru, Karnataka.
- Scheduled weekly hours are 40.
Tech Stack
Categories
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).