Staff Software Engineer

JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people  and empowering them to  thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

Senior Software Engineer

JLL Technologies

(AMER - Dallas)

What this job involves:

About the role

#JLLTechAmbitions

Job Description

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration. This individual will have broad experience in developing and deploying agentic AI solutions that can autonomously perform complex business tasks.

Responsibilities

• 4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations

• 4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)

• 4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)

• 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications

• Experience working with vector databases, knowledge graphs, and RAG pipeline development

• Advising on best practices for AI agent development and enterprise AI integration processes

• Experience in deploying AI models and agents in multiple environments (dev, staging, production)

• Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them

Sounds like you? To apply you need to be:

Experience & Skills 

• Proficient in developing, deploying, and orchestrating multi-agent AI systems

• Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization

• Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) systems

• Demonstrated proficiency in understanding and implementing autonomous business workflows and AI-driven processes

• Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem

• Demonstrated proficiency with Python development and AI/ML libraries

• Demonstrated proficiency in JavaScript/TypeScript for AI frontend integration

• Ability to perform AI model performance tuning and optimization in production environments

• Familiarity with MLOps tools and practices

• Experience in building conversational AI interfaces, chatbots, and AI-powered applications

• Experience with API development for AI services and webhook management

• Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI)

• Experience in AI agent orchestration, planning algorithms, and decision-making frameworks

• Creating and maintaining vector databases and knowledge management systems

• Experience producing AI system architecture and technical design documentation