AI Dev Lead
Listed on 2026-05-16
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
About the role
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; managing expectations, foreseeing AI‑related risks, and reporting them
- 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
- 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
- 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
On‑site – Atlanta, GA;
Boston, MA;
Chicago, IL;
Dallas, TX;
San Francisco, CA
– USD per year
Visa SponsorshipThis position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Equal Opportunity & AccessibilityJones Lang LaSalle (JLL) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.
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