Stem is looking to implement and optimize AI solutions that drive real business value for their customers by bridging the gap between cutting-edge AI capabilities and practical customer implementations.
Requirements
Deep hands-on experience with modern LLM platforms (Anthropic Claude, OpenAI GPT, Google Gemini)
Proven ability to build AI integrations, including experience with APIs, MCP servers, and custom agents
Strong programming skills in Python and/or JavaScript/TypeScript
Experience with cloud platforms (AWS, Azure, or GCP) and container technologies
Understanding of enterprise security requirements and compliance frameworks
Familiarity with AI deployment patterns, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures
5+ years of software engineering experience with at least 2 years focused on AI/ML technologies
Responsibilities
Design, build, and deploy enterprise AI solutions using modern LLM platforms (Anthropic Claude, OpenAI, Google Gemini, etc.)
Develop and deploy MCP servers and custom AI integrations tailored to customer workflows and business processes
Create custom AI agents, personas, and specialized tools for specific use cases
Build proof-of-concept demonstrations and technical pilots that showcase AI capabilities for customers and prospects
Integrate AI solutions with existing enterprise systems, databases, and workflows
Research, evaluate, and implement emerging AI technologies and tools for both internal use and customer deployments
Develop reusable AI solution patterns and accelerators for common use cases
Other
2+ years of experience in customer-facing technical roles (solutions engineering, technical consulting, or sales engineering)
Proven ability to engage effectively with customers ranging from technical practitioners to C-level executives
Strong presentation skills with the ability to deliver compelling technical demonstrations
Excellent communication skills, translating complex technical concepts for diverse audiences
Experience managing customer relationships and guiding implementation projects
