Software Engineer 2
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About the role
JLL REMS builds AI-powered solutions that help commercial real estate clients use property management data. This engineer will develop GenAI systems, full-stack applications, and cloud infrastructure for AI-powered insights.
What you'll do
- Develop GenAI solutions for property management applications
- Build and optimize RAG pipelines using LLMs
- Create backend APIs and user interfaces with Python and React
- Deploy AI services and cloud infrastructure using Terraform
- Maintain CI/CD pipelines and containerized services
- Review code and optimize application reliability and performance
Skills
Must have
- Python
- LLMs
- RAG
- Natural language processing
- React
- Django
- Django REST framework
- JavaScript
- SQL
- PostgreSQL
Nice to have
- Agentic AI
- Model context protocol
- Vector databases
- Semantic indexing
- Microservices
- API gateway design
- AI security
- Data privacy
Tools
- Next.js
- Html5
- Css3
- AWS
- Azure
- Azure search service
- Opensearch
- GitHub actions
- Azure DEVOPS
- Datadog
Who it's for
- Education
- Engineering degree
- Degree
- computer science, data science, artificial intelligence, machine learning, engineering
- Experience
- 3+ years
- Domain
- commercial real estate technology
About Jones Lang LaSalle (JLL)
Jones Lang LaSalle (JLL) has 38 open roles in Bangalore, at JLL Bangalore. See every Jones Lang LaSalle (JLL) role.
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