Lead AI Engineer

Sr AI/ML Developer

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.

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

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
• Must have college degree in Computer Science, AI/ML, or equivalent experience

Technical Skills & Competencies

• Python, FastAPI, Flask
• LangChain, LlamaIndex, Transformers library
• OpenAI API, Azure OpenAI, Anthropic Claude
• Vector databases (Pinecone, Weaviate, ChromaDB)
• Git, Docker, Kubernetes
• JavaScript/TypeScript for AI integration
• Postman for API testing
• SQL/NoSQL 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 to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting cutting-edge AI technologies, JLL will continuously provide you with platforms to enrich your technical domains in artificial intelligence and machine learning. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It's no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World's Most Ethical Companies for the 12th consecutive year.

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Estimated compensation for this position:

167,400.00 – 205,100.00 USD per year

This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

On-site –Atlanta, GA, Boston, MA, Chicago, IL, Dallas, TX, San Francisco, CA

If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

• 401(k) plan with matching company contributions
• Comprehensive Medical, Dental & Vision Care
• Paid parental leave at 100% of salary
• Paid Time Off and Company Holidays
• Early access to earned wages through Daily Pay