Software Engineer, AI Engineer, Machine Learning/ ML Engineer
Job in
Dallas, Dallas County, Texas, 75270, USA
Listed on 2026-02-12
Listing for:
JLL
Full Time
position Listed on 2026-02-12
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
This job is with JLL, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
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
#JLLTech Ambitions
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 (Lang Chain, Llama Index, 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 Lang Chain, Llama Index, and Hugging Face ecosystem
Demonstrated proficiency with Python development and AI/ML libraries
Demonstrated proficiency in JavaScript/Type Script 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
Must have college degree in Computer Science, AI/ML, or equivalent experience
Technical Skills & Competencies
Python, FastAPI, Flask
Lang Chain, Llama Index, Transformers library
OpenAI API, Azure OpenAI, Anthropic Claude
Vector databases (Pinecone, Weaviate, Chroma
DB)
Git, Docker, Kubernetes
JavaScript/Type Script for AI integration
Postman for API testing
SQL/No
SQL databases for AI data management
Sound knowledge in cloud AI services and MLOps
AI model performance monitoring and optimization
Prompt engineering and AI safety practices
Uses best practices and knowledge of AI/ML methodologies…
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