AI Solutions Engineer
Core
Design and deliver AI agents and assistants to solve operational problems for internal business teams, focusing on solutioning, integration design, and production support.
Role type
Mid-level AI Solutions Engineer
Builds
Production-grade AI agents, backend integrations, and automation pipelines for internal business operations
Domain
Enterprise AI, Internal Business Operations, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, REST/Graph API design, LLM/agent frameworks, Cloud infrastructure (AWS), Data platforms with access control (Databricks/Unity Catalog), Solution design & requirements translation, Stakeholder presentation
Preferred skills
Enterprise agent-builder platforms (e.g., Glean), LLM evaluation methodologies, Slack API integration, Rapid prototyping
Technologies
Python, LangSmith, LangGraph, Next.js, Node.js, Databricks, Unity Catalog, Glean, Slack API, AWS
Responsibilities
Translate ambiguous business requirements into clear technical designs, Decide between custom-building agents vs configuring no-code/low-code platforms, Design integration architecture with existing systems and APIs, Prototype and validate solutions against real data and users, Build backend integrations and automation pipelines, Present solution designs and trade-offs to non-technical stakeholders
Seniority
Mid-level, hands-on IC
