AI Engineer

Coterie
•$115,000 - $145,000•Remote

About The Position

The AI Engineer works within the Research & Development subdomain of Coterie’s Data and Analytics department to build, test, and deploy intelligent systems that enhance business operations, customer capabilities, and product capabilities. The role combines applied machine learning, software engineering, and responsible AI practices to deliver reliable, scalable, and secure AI-enabled solutions in production environments. The position is open to candidates at multiple levels. Final leveling as senior or non-senior, and compensation, will be determined based on qualifications and experience. The estimated annual salary range is $115,000–$145,000, based on national market data. Compensation above the midpoint may be considered for candidates who meet the minimum requirements and demonstrate additional relevant experience.

Requirements

  • Bachelor’s degree or equivalent professional experience in Artificial Intelligence, Computer Science, Data Science, Economics, Engineering, Machine Learning, Mathematics, Operations Research, Statistics, or a related quantitative field.
  • Intellectual curiosity.
  • Hands-on experience building machine learning or AI-powered applications.
  • Hands-on experience with large language models, prompt engineering, embeddings, vector databases, retrieval-augmented generation, or agentic workflows.
  • Strong Python proficiency, including hands-on experience with Pytest, Pydantic, and FastAPI.
  • Strong software engineering skills and familiarity with production-grade development practices, including documentation, testing, version control, code review, CI/CD, and observability.
  • Familiarity with tools and technologies such as AWS, Azure, or GCP; Claude; Databricks; Docker; Gemini; Kubernetes; LangChain; LangGraph; OpenAI; and SQL.
  • Working knowledge of data privacy, security, access controls, and responsible AI considerations.
  • A bias toward practical, measurable outcomes and the ability to iterate quickly while maintaining high engineering standards.
  • Authorization to work in the United States without current or future visa sponsorship.

Nice To Haves

  • Advanced degree or equivalent professional experience in Artificial Intelligence, Computer Science, Data Science, Economics, Engineering, Machine Learning, Mathematics, Operations Research, Statistics, or a related quantitative field.
  • Experience in regulated industries such as banking, financial services, healthcare, insurance, or related environments with meaningful audit, compliance, governance, and risk expectations.
  • Experience building or leveraging reusable AI services or shared tooling that increases operational efficiencies.
  • A clear point of view on trade-offs between Anthropic, Google, and OpenAI models across different task types.
  • Hands-on experience acquiring data from the web at scale, including scraping, proxy management, and working with public APIs, aggregators, and open-source datasets.

Responsibilities

  • Partner with Data and Analytics teammates, software engineers, and business stakeholders to deliver high-impact AI-enabled solutions.
  • Integrate AI capabilities into internal tools, customer-facing products, and operational workflows using APIs, cloud services, and modern software development practices.
  • Implement secure and compliant AI systems aligned with company policies, regulatory expectations, and responsible AI principles.
  • Productionalize AI and machine learning solutions, including generative AI, natural language processing, predictive modeling, and automation workflows.
  • Evaluate model performance, reliability, safety, bias, latency, cost, and business impact, and help establish monitoring and feedback loops for continuous improvement.
  • Assist with documenting technical decisions, system architectures, and model assumptions.
  • Stay current on emerging AI tools, frameworks, model capabilities, and industry best practices; recommend and implement pragmatic adoption strategies.

Benefits

  • 100% remote work.
  • Health insurance through Aetna, with 100% of premiums paid by the company.
  • Dental and vision insurance through Guardian, with 100% of premiums paid by the company.
  • Basic life insurance, with 100% of premiums paid by the company.
  • Access to a flexible spending account (FSA) or health savings account (HSA) for employees using HSA-eligible plans.
  • 401(k) plan with up to a 4% match and immediate vesting; participants must be at least 21 years old.
  • Flexible PTO policy offering up to four weeks in the first 12 months; thereafter, usage aligns with company standards and typically does not exceed five weeks per calendar year.
  • 12 company-paid holidays each year.
  • Annual continuing education stipend.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service