100% REMOTEThis Jobot Job is hosted by: Katherine Krull
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Salary: $170,000 - $270,000 per year
A bit about us:Come join a fast-growing, remote-first technology company building modern AI-driven infrastructure products for enterprise users!
Job Title: Sr. AI Platform Engineer
Job Location: 100% REMOTE (*Must currently reside in the US)
Pay Range: $170k-$270k Base Salary + Equity + Comprehensive Medical/Dental/Vision Benefits (100% paid for by the employer for employees and dependents)
Must Have:
- 5+ years of backend software engineering experience with modern technologies (Python, Go, Typescript, etc.)
- 1+ year of building AI application(s) such as creating AI assistants, building AI agents, connecting AI models, etc. - LLM, RAG, MCP
- Experience building and maintaining the infrastructure behind the AI - DevOps, Kubernetes, Cloud
Preferred:
- Snowflake, Databricks, or dbt
- Startup experience
Why join us?- Founding-level opportunity within a newly formed AI engineering team
- Build enterprise-grade AI infrastructure and backend systems
- Highly visible role with direct access to leadership and product strategy
- Fast-moving, startup-style engineering culture with minimal bureaucracy
- Profitable, rapidly growing company with strong enterprise customer adoption
- Fully remote environment with competitive compensation and equity
Job DetailsWe are seeking a tenured Software Engineer to build and run the company's AI platform. This position will create AI assistants and agents that can answer questions accurately using company data, while making sure the system is secure, reliable, affordable, and safe for large businesses.
The role is basically 50% AI engineer + 50% Cloud/DevOps engineer.
Key Responsibilities
Build AI features
Create AI assistants ("Copilot") that understand customer databases and business information.
Build AI agents that can perform tasks but require human approval before making important changes.
Connect AI models to trusted company data so they give correct answers instead of making things up.
Make AI reliable
Test whether AI answers are accurate.
Monitor AI performance.
Prevent mistakes, security issues, and bad outputs.
Build the infrastructure behind the AI
Run the servers, cloud systems, and software that power the AI.
Use AWS, Kubernetes, and automation tools to keep everything fast, secure, and available.
Control costs so running AI doesn't become too expensive.
Protect enterprise customers
Add security controls for companies like banks and healthcare organizations.
Protect sensitive data.
Ensure AI actions are controlled and auditable.
The ideal person is someone who:
Has built real AI applications (not just demos)
Is an expert software engineer
Knows cloud infrastructure deeply
Can deploy and maintain systems in production
Understands that enterprise AI must be accurate and trustworthy, not just impressive
Must Have:
- 5+ years of backend software engineering experience with modern technologies (Python, Go, Typescript, etc.)
- 1+ year of building AI application(s) such as creating AI assistants, building AI agents, connecting AI models, etc. - LLM, RAG, MCP
- Experience building and maintaining the infrastructure behind the AI - DevOps, Kubernetes, Cloud
Preferred:
- Snowflake, Databricks, or
- Startup experience
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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