AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop, test, and implement intelligent systems that improve business operations, enhance customer capabilities, and advance product functionalities.

• Collaborate with Data & Analytics colleagues, software developers, and business stakeholders to deliver impactful AI-driven solutions.

• Integrate AI functionalities into internal tools, customer-facing products, and operational workflows utilizing APIs, cloud services, and contemporary software development methodologies.

• Establish secure and compliant AI systems that adhere to company policies, regulatory requirements, and responsible AI principles.

• Productionalize generative AI, natural language processing, predictive modeling, and automation solutions.

• Assess model performance, reliability, safety, bias, latency, cost, and business impact.

• Assist in creating monitoring and feedback loops for ongoing enhancement.

• Document technical choices, system architectures, and model assumptions.

• Keep updated on emerging AI tools, frameworks, model capabilities, and industry best practices; suggest and implement practical adoption strategies.

• Engage in coding exercises, phone interviews, experiential project interviews, and interviews with Data & Analytics and leadership teams as part of the recruitment process.

⛳️ Requirements

• Bachelor’s degree or equivalent professional experience in fields such as Artificial Intelligence, Computer Science, Data Science, Economics, Engineering, Machine Learning, Mathematics, Operations Research, Statistics, or a related quantitative discipline.

• A strong sense of intellectual curiosity.

• Practical experience in developing machine learning or AI-driven applications.

• Practical experience with large language models, prompt engineering, embeddings, vector databases, retrieval-augmented generation, or agentic workflows.

• Proficient in Python, with hands-on experience in Pytest, Pydantic, and FastAPI.

• Solid software engineering skills and knowledge of production-grade development practices, including documentation, testing, version control, code review, CI/CD, and observability.

• Familiarity with AWS, Azure, or GCP; Claude; Databricks; Docker; Gemini; Kubernetes; LangChain; LangGraph; OpenAI; and SQL.

• Understanding of data privacy, security, access controls, and responsible AI considerations.

• A focus on practical, measurable outcomes with the ability to iterate swiftly while upholding high engineering standards.

• Authorization to work in the United States without current or future visa sponsorship is required.

• Preferred: advanced degree or equivalent professional experience; experience in regulated industries; reusable AI services or shared tooling; knowledge of model trade-offs across Anthropic, Google, and OpenAI; experience with web-scale data acquisition, scraping, proxy management, public APIs, aggregators, and open-source datasets.

🏝️ Benefits

• 100% remote work environment.

• Health insurance provided through Aetna (100% of premiums covered).

• Dental and vision insurance through Guardian (100% of premiums covered).

• Basic life insurance (100% of premiums covered).

• Access to a flexible spending account (FSA) or health savings account (HSA).

• 401K plan with up to 4% matching and immediate vesting.

• Flexible PTO policy offering up to 4 weeks in the first 12 months; typically up to 5 weeks per calendar year thereafter.

• 12 company-paid holidays each year.

• Annual stipend for continuing education.