Who you are

• 6+ years of software engineering experience with at least one year building with AI models
• Strong Programming Skills: Proficiency in .NET/C# and Python within an established codebase
• Collaborative Enabler: An engineer who excels at translating complex AI concepts into actionable patterns for others and enjoys mentoring cross-functional peers to elevate the entire organization's AI fluency
• AI Tooling: Hands-on experience with LLMs like GPT or Claude and orchestration frameworks such as LangChain or LlamaIndex
• Data Architecture: Experience with vector databases (e.g., Pinecone, Chroma), embedding techniques, and RAG
• Ownership: Proven ability to take complex AI features from ideation to production
• Experience building AI Agents and autonomous agentic workflows
• Familiarity with Snowflake Cortex or LaunchDarkly AI Configs

What the job involves

• As an AI Engineer, you'll be foundational in creating the next stage of our product's evolution
• At Granum, we measure engineering success by customer outcomes, not just pull requests
• You'll join the AI Platforms pod, a team uniquely positioned at the intersection of product innovation and organizational transformation
• Your work will be dual-track: fueling the evolution of the customer experience through intelligent features while simultaneously architecting the frameworks that enable AI-driven capabilities across the company
• The Agentic Leap: Design and deploy autonomous AI agents that go beyond simple prompts to take action, complete tasks, and operate as a workforce multiplier for our customers
• Cross-Pod Enablement: Architect the internal tooling and shared patterns that empower every engineering pod to seamlessly integrate AI into their specific domains and leverage AI-assisted development workflows
• Intelligent Integration: Implement and optimize robust LLM orchestration systems using our proprietary industry data to provide the intelligent foundation our product pods draft off of
• Technical Excellence: Contribute to the full AI/ML lifecycle, from model evaluation to deployment, ensuring our domain knowledge is protected by high-quality, production-ready features

Benefits

• Great insurance (health, dental, and vision)
• Unlimited vacation policy
• Remote work environment
• Sabbatical benefit
• Company-Paid Health Insurance