AI Engineer
Continued
full-time
Posted on:
Location Type: Remote
Location: Texas • United States
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About the role
- Partner with stakeholders across the organization to identify and prioritize opportunities for leveraging AI & Automation
- Design, develop, and support AI & Automation systems that drive measurable business impact
- Design, build, and maintain scalable infrastructure, including frontend interfaces and backend services
- Create data pipelines and AI model context protocols, potentially leveraging tools like LangChain and semantic search
- Ensure the high availability, performance, and security of AI platform services
- Contribute to platform extensibility by authoring SDKs and comprehensive documentation
- Translate highly technical AI concepts to non-technical stakeholders to ensure alignment with business goals
- Stay current with new models, frameworks, and research in the rapidly evolving field of AI/Generative AI
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
- Minimum of 5 years of experience in Software Engineering, Data Engineering, or Data Science with at least 2 years of experience working with large language models
- Demonstrated ability to design, develop, and deploy machine learning and Generative AI solutions at scale
- Proficiency in Python data manipulation and analysis libraries such as NumPy, Pandas and Scikit-learn
- Strong engineering fundamentals (OOP, data structures, algorithms, clean/testable code) for building production-ready applications
- Strong knowledge of SQL and experience with data warehousing, data wrangling, preprocessing, and building data pipelines
- Experience with building AI tooling and frameworks, such as Cortex, OpenAI API, Anthropic API, LangChain, semantic search, and vector databases
- Familiarity with automation software (e.g. Zapier, UiPath, Gumloop)
- Familiarity with the Model Context Protocol (MCP) and agent frameworks such as LangChain, PydanticAI or n8n
- Experience building applications using AWS services and infrastructure. AWS Bedrock and Sagemaker a plus
- Strong communication skills with the ability to convey complex information to non-technical audiences
- Ability to think strategically about how AI solutions can create value and deliver business outcomes
- Ability to work in a remote-first, fast-paced environment and manage multiple projects simultaneously
- Preferred by Not Required: Familiarity with database modeling and management (Postgres, Redis)
- Experience with full-stack development, including frontend (React, TypeScript, Next.js) and backend services (Python/FastAPI or Node.js)
Benefits
- comprehensive medical, dental, and vision group health insurance
- flexible spending accounts
- accident insurance
- 21 days of paid time off per year as well as your birthday and national holidays and observances
- 401k match
- professional development
- charitable gift matching
- robust wellness programs
- work from your home office
- company-provided MacBook Pro
- Internet stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonNumPyPandasScikit-learnSQLmachine learningGenerative AIdata pipelinesfull-stack developmentOOP
Soft skills
strong communication skillsstrategic thinkingproject managementability to convey complex informationcollaborationadaptabilityproblem-solvingtime managementstakeholder engagementalignment with business goals
Certifications
Bachelor’s degree in Data ScienceBachelor’s degree in StatisticsBachelor’s degree in Computer Science