Full Stack Developer 3 - AI

Since 1936, Guarantee Trust Life Insurance Company (GTL) has offered cutting-edge insurance solutions and personalized service for our policyholders and distributors, while supporting personal growth and civic involvement from our employees. We’re seeking candidates who are looking for meaningful work, want to invest in their growth, and contribute to a company built on timeless virtues and best business practices. This position is required to work on-site in our Chicagoland (Glenview, IL) office most days, with 3 flexible remote days per month and half-day Fridays every week.

We are investing in AI and new technologies as we modernize platforms and enhance customer interactions. This role will be at the forefront of that change, helping shape the vision of our future. When you join GTL, you become part of a company that actively participates in and supports the community, with a passion for personal development, giving back, and supporting the Chicagoland area. Team members are encouraged to participate in self-development projects and volunteer opportunities each year and are financially recognized for their participation. GTL also sponsors the Joffrey Ballet, the Chicago Bears, and the Chicago Blackhawks, with employees having access to complementary or discounted tickets periodically throughout the year.

Responsibilities

• Develop state-of-the-art machine learning models and leverage LLMs to solve real-world problems.
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
• Develop end-to-end pipelines and operationalize the orchestration of models to support use cases like Document Q&A, Search, Information Retrieval, classification, and personalization.
• Develop solutions to successfully implement large AI/ML initiatives of the organization.
• Assist project management teams and product owners in defining problem statements, execution roadmaps, and incremental milestones.
• Collaborate with others to identify impactful projects, influence key decisions with data, and ensure effective use of AI-based technologies.
• Work autonomously to design, develop, and deploy solutions.
• Collaborate with data owners to analyze large datasets to uncover insights and trends that inform product development and personalized customer experiences.
• Continuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirements.
• Stay up to date with the latest advancements in machine learning, AI, data science, and engineering, and apply this knowledge to improve our products and services.

Requirements

• Minimum of 4 years of experience in software development.
• Degree in Computer Science, Data Science, or similar, or equivalent experience.
• Professional working experience with LLMs, RAG, NLP, and ML solutions.
• Demonstrated solid foundation in data structures, algorithms, and software engineering principles, with a track record of developing high-quality, maintainable code.
• Excellent problem-solving skills and high enthusiasm for tackling complex challenges in AI development and deployment.
• Prior experience leveraging Azure AI Foundry and machine learning services to deploy, monitor, and maintain solutions.
• Strong software engineering foundation with a commitment to delivering high-quality, maintainable, and well-tested code.
• Proven ability to stay updated with state-of-the-art techniques through continuous research and application.
• Strong ability to adapt quickly to evolving project scopes.
• Passion for creating intuitive technology solutions and a continuous desire to learn and take on new challenges.

Benefits

• Medical, dental, and vision coverage.
• Health Savings Account (including employer contribution).
• Basic Life Insurance (full premium paid by employer).
• Voluntary Employee, Spouse, and Child Life Insurance.
• Short-Term and Long-Term Disability.
• Paid holidays, vacation, personal days, sick time, and Flex Fridays.
• 401(k), 401(k) Match, and Profit-Sharing Retirement Plan.

Pay

The pay range reflects potential compensation for this role at the time of posting and depends on factors such as specific competencies, relevant education and experience, qualifications, and industry certifications. Ranges are subject to change.

Schedule

• On-site in Glenview, IL most days.
• 3 flexible remote days per month.
• Half-day Fridays every week.