senior engineer, AI (Nashville, TN)
Starbucks · Nashville, TN, USA · USD117000-194800/yearly · via jobspy:linkedin
Fit analysis
The candidate possesses exceptional full-stack engineering depth, architectural skills, and proven ability to deploy complex, high-availability systems end-to-end. However, there is a significant gap in direct experience with core Generative AI technologies like LLMs, RAG pipelines, and deep learning frameworks.
Where you fit
- Full-stack architecture and deployment: Proven expertise building and deploying complex applications using Next.js, React, Node.js, and Rust for high-availability systems (e.g., Colony Watch).
- Complex data pipeline management: Engineered telemetry pipelines aggregating data from 1,800+ physical assets, demonstrating ability to handle large-scale, real-time data streams.
- E-commerce/B2B workflow optimization: Architected headless B2B storefronts (Next.js/Shopify) and integrated third-party APIs to achieve measurable business improvements (30% quote accuracy increase).
- Data integration expertise: Extensive experience integrating disparate systems using GraphQL (Hasura), PostgreSQL, and managing blockchain data flows.
- Infrastructure deployment and reliability: Designed and implemented scalable power and network infrastructure for iterative rollouts while ensuring zero disruption to live production operations.
Where you may struggle
- Generative AI/LLM Experience: The resume does not show any hands-on experience designing or deploying workflows involving Large Language Models (LLMs) or multi-agent frameworks, which is central to the role.
- Deep Learning Frameworks: There is no mention of deep learning frameworks (e.g., PyTorch, TensorFlow), which are foundational for AI/ML development.
- Vector Databases and RAG Pipelines: The candidate has not demonstrated experience with vector databases or implementing Retrieval-Augmented Generation (RAG) pipelines.
- Preferred Language Proficiency: While proficient in Rust and JavaScript, the job description lists Python as a preferred language for automation and tooling; this skill is not evidenced.
Job description
Now Brewing – senior engineer! #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As a Senior Engineer (AI) , you’ll play a critical role in delivering high-quality, reliable, and secure Generative AI technology that enables coffee house partners and leaders to operate effectively, deliver results with quality and be more customer focused. This advanced role focuses on owning complex engineering capabilities end-to-end—partnering across business and technology teams to bring in AI capabilities where it matters most in a cost effective, performant way with reliability, scalability, and operational excellence at the core. As an Engineer, you will… Design end-to-end AI and machine learning workflows, integrating large language models (LLMs) and multi-agent frameworks into production applications. Enable strong engineering delivery by supporting development teams, resolving complex technical and developer issues, and engineering robust build and release processes. Ensure security and compliance by design through stable, secure application and infrastructure solutions, maintaining hardened configurations and baselines, and upholding company policies and regulatory requirements. Influence technical direction and standards by researching and recommending tools, platforms, and best practices, and partnering across teams and vendors to improve outcomes. We’d love to hear from people with... 4–10 years of professional experience in software engineering Hands-on experience with deep learning frameworks, vector databases, RAG (Retrieval-Augmented Generation) pipelines, and LLM orchestration Experience deploying scalable AI services on cloud platforms. Bachelor’s degree in Computer Science or a related field Preferred programming languages: one or more of Python, Java, Go, C/C++, Ruby, or Perl (especially for automation, tooling, and systems work) As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com. If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We believe we do our best work when we're together, which is why we're onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation or 1(888) 611-2258.
Questions from the bot
Timeline
2026-10-18 20:40:20
scored 78: The candidate possesses exceptional full-stack engineering depth, architectural skills, and proven ability to deploy complex, high-availability systems end-to-end. However, there is a significant gap in direct experience with core Generative AI technologies like LLMs, RAG pipelines, and deep learning frameworks.2026-10-18 20:39:25
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