Senior AI Engineer
honeycomb.io
GoPythonRubyTypeScript
AI Engineer
Motive
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $107,000 - $147,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Own the full development cycle of prototyping / developing proof of concepts
- Collaborate with internal product managers and ESYS team to integrate key data sources into applications / agents
- Ensure agents and applications follow UX best practices
- Have a strong POV on when an agentic workflow is warranted vs a point solution
- Manage a provided cost envelope for production use cases
- Create and maintain documentation around launched solutions
- Train end-users on the usage of launched tools
- Stay up-to-date on the latest advancements in LLM’s and agentic orchestration
Requirements
- 3-5 years of hands-on development experience in an enterprise environment while leveraging machine learning + AI models
- Strong understanding of AI fundamentals such as context windows, token consumption, compute cost, chunking, and performance benchmarks
- Understanding of API usage, limitations, and how to leverage API’s to aggregate data across multiple source platforms
- Understanding of scripting, SQL / SOQL, and Python fundamentals
- Experience leveraging prompt engineering to complete complex tasks
- Experience leveraging foundational models (Gemini, ChatGPT, Perplexity, Claude, Grok and others)
- Familiarity with the rapidly evolving agentic landscape, including orchestration layers, MCP, and Agent2Agent
- Ability to communicate technical concepts to a non-technical end user
- Fully remote position (USA or Canada and must already be located in the country)
Benefits
- health, pharmacy, optical and dental care benefits
- paid time off
- sick time off
- short term and long term disability coverage
- life insurance
- 401k contribution
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningAI modelsAPI usagescriptingSQLSOQLPythonprompt engineeringfoundational modelsperformance benchmarks
Soft skills
communicationcollaborationtrainingdocumentationUX best practicesproblem-solvingorganizational skillstechnical concept explanation
