Senior Applied AI Engineer
Job Summary
To build next-generation agentic AI products, the fully remote Senior Applied AI Engineer will manage the full product lifecycle, design enterprise-grade architectures, and ensure the quality and performance of production systems.
Key responsibilities
- Build and ship production-grade agentic AI products that address mission-critical enterprise problems
- Design agentic architectures and infrastructure, including MCP servers, skills, and communication systems
- Implement rigorous evaluation and observability systems to monitor performance and ensure reliability
Required qualifications
- 7+ years of software engineering experience, particularly in production SaaS environments
- 2+ years of hands-on experience with production LLMs/agents and successful product deployments
- Deep knowledge of AI infrastructure, including MCP, agent gateways, and knowledge systems
- Expert-level proficiency in Python and strong software architecture skills
- Production cloud-native experience with Kubernetes, CI/CD, and major cloud platforms (AWS/Azure/GCP)
Complete Job Description
The complete job description is available to members. Premium membership includes:
Full access to 44,029 remote jobs from human-vetted companies, updated daily
Resume Builder - AI-powered tool to craft, enhance, and tailor your resume to a specific job
Twice-monthly live group coaching and the full Remote Career Center
20% member discount on Career Services
Backed by a 30-day money-back guarantee
Company Company Name
Headquarters Headquarters
Founded Founded
Website
The company description is available to members. Go Premium for full access to every job and company profile in our remote jobs database, backed by a 30-day money-back guarantee.
