AI Engineer

AI Engineer I

The AI Engineer I is responsible for building, testing, and maintaining components of AI-powered software applications under the guidance of senior engineers. As part of the AI & Analytics Innovation Team, this role works with engineers and data scientists to implement well‑defined features of LLM‑based applications that drive operational outcomes for internal teams and customers.

• Implement well‑defined features of AI‑powered applications based on designs and specifications from senior engineers.
• Integrate LLM APIs into applications, including prompt templates, structured outputs, and basic tool/function calling.
• Build and maintain components of retrieval‑augmented generation (RAG) pipelines: data ingestion, parsing, chunking, embedding generation, and basic retrieval.
• Assist with data preparation and pipelines (cleaning, transformation, ingestion) to support AI/Analytics systems.
• Write unit tests and run evaluation scripts to measure output quality, latency, and accuracy of AI features.
• Support deployment and monitoring of services: containerization, logging, metrics, and alert investigation on owned components.
• Work collaboratively within a distributed, fast‑paced team and participate fully in code review, version control, sprint ceremonies, and documentation.
• Assist with maintaining deployed API‑based systems and infrastructure.

• 0–2 years of hands‑on experience in software development (internships and substantial academic or personal AI projects count) or a BS degree in computer science or equivalent.
• Demonstrated record of work ethic, team collaboration, accountability, and holding yourself and your team to higher standards.
• Experience with Python application development.
• Fundamental software engineering skills: comfortable with Git/version control, writing clean and readable code, basic data structures and algorithms, debugging, and working in the terminal/command line.
• Understanding of how the web works at a basic level: HTTP/REST APIs and JSON.
• Hands‑on exposure to LLM APIs and prompt engineering through projects, coursework, or professional work.
• Basic understanding of how LLMs work in practice: tokens, context windows, and how they affect cost and behavior.
• Working knowledge of SQL.
• Strong verbal and written communication skills.

• Familiarity with embeddings and vector search, and at least one vector database (e.g., pgvector, Pinecone, Chroma, Qdrant).
• Familiarity with an LLM orchestration framework (e.g., Lang Chain, Llama Index, Lang Graph).
• Exposure to cloud‑based application development (AWS/Azure) and containerization (Docker).
• Familiarity with an AI evaluation framework or LLM‑as‑a‑judge concepts.
• Awareness of open‑source or locally run models and tooling (e.g., Hugging Face, Ollama).
• A portfolio of shipped AI projects or open‑source contributions.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities, and veterans to apply to all of our job openings. We are an equal‑opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, genetic information & testing, family & medical leave, protected veteran status, or any other characteristic protected by law.

We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

• Roth and Traditional 401(k) matching contributions with immediate vesting.
• Bonus or commission eligibility for all employees.
• Generous PTO, paid volunteer days, and floating holidays.
• Stock Purchase Plan (SPP).
• 11 paid holidays annually (holiday compensation when worked).
• Pet and legal insurance.
• Q‑Rest sabbatical program.
• Q‑Anniversary service award program.
• Parental leave for primary and secondary caregivers.
• Military benefits package.
• QTS charitable matching gift program.
• QTS scholarship for employee dependents.
• QTS crisis fund.
• Wellness program.
• Tuition reimbursement program.