Apply now: AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The start date is end of July / early August for this permanent salaried position with a one-year end date.
Job Title: AI Engineer
Location-Type: Remote, Raleigh, NC area; onsite collaboration as needed
Start Date Is: End of July / Early August
Duration: Contract - salaried role with benefits and PTO; one-year end date (likely to extend/convert)
Compensation Range: $130,000 - $160,000 base salary + 10% annual performance-based bonus
Benefits: Eligible for Health, Dental, Vision, 401K, PTO
Must be authorized to work in the U.S. This position is not eligible for sponsorship.
Job Description:
The client is seeking a collaborative AI-focused software engineer to help evaluate AI use cases, build prototypes, expand data accessibility, and support backend engineering initiatives across the business.
Day-to-Day Responsibilities:
- Partner with business stakeholders to evaluate and prioritize AI use cases
- Build prototypes, proofs of concept, and AI-enabled solutions
- Develop backend services, APIs, and integrations using Elixir
- Work with SQL databases and enterprise data systems
- Support data accessibility initiatives tied to the client's internal data warehouse and ETL platform
- Assist with MCP server and AI-driven data access initiatives
- Use AI coding tools such as Claude Code or Codex while reviewing and validating generated code
- Collaborate cross-functionally with product, engineering, and business teams
Minimum Requirements:
- 3-6 years of software engineering experience
- Current, extensive Elixir experience
- Strong SQL database experience
- Experience building API backends
- Comfort using or learning AI-assisted coding tools such as Claude Code or Codex
- Strong communication and collaboration skills
- Comfortable working directly with business stakeholders
- Based in the Raleigh, NC area, ideally within roughly 50 miles
- Excited by experimentation, ambiguity, and rapid iteration
Preferred Qualifications:- Experience with MCP servers
- Experience with Ash framework
- Experience building data platforms, ETL pipelines, or warehouse solutions
- Startup or small-team engineering background
- Experience supporting enterprise AI initiatives
- Experience translating business requirements into technical prototypes
