Jobs / Gal***
AI Engineer
Gal*** · Rolling Meadows, IL, United States
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Rolling Meadows, IL, United States74,500-145,500 USD/yearlyRemote
Remuneration
74,500-145,500 USD/yearly
Location
Rolling Meadows, IL, United States
Visa sponsorship
Sponsors visa
Job summary
Introduction Welcome to Gal*** - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive.
Benefits
Experience a workplace where you’re encouraged to be yourself, supported to succThat’s what it means to live The Gallagher Way.We offer a competitive and comprehensive compensation package.The base salary range represents the anticipated low end and high end of the ranOn top of a competitive salary, great teams and exciting career opportunities, wBelow are the minimum coreYou’ll get, depending on your job level theseMay improve:Medical/dental/vision plans, which start from day one!Life and accident insurance401(K) and Roth optionsTax-advantaged accounts (HSA, FSA)
Qualifications
- including data privacy, model risk management, security controls, and responsible AI standards.
- About You
- Required
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; Master’s degree preferred.
- 3+ years of experience in software engineering, machine learning engineering, applied AI, or natural language processing.
- Hands-on experience building solutions with large language models, foundation models, or generative AI platforms.
- Strong proficiency in Python and experience with modern software engineering practices, including testing, version control, and CI/CD.
- Experience with LLM frameworks and tooling such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration frameworks.
- Knowledge of embeddings, vector databases, semantic search, retrieval systems, and prompt engineering techniques.
- Experience deploying AI services in cloud environments such as Azure, AWS, or Google Cloud.
- Understanding of model evaluation, experimentation, and performance optimization in production systems.
- Familiarity with responsible AI practices, including safety, privacy, bias mitigation, and governance controls.
Responsibilities
- How you'll make an impact
Skills
CommunicationLeadership
Degrees
AssociateDegree
Industry
AutomotiveBankingDefenseEducationEnergyHealthcareInsurancePublic-sector
Company size
EnterpriseSmb
Contract length
95 years