Responsibilities

• Design and build AI applications using foundation models (Anthropic, Gemini, OpenAI) layered with internal data and context
• Build and maintain AI agents and automation workflows to improve access to insights and reduce manual work
• Write detailed instruction sets to guide agent behavior across various tasks
• Design interaction layers for agents, including UI/UX components, streaming responses, and human-in-the-loop control
• Build internal systems to evaluate agent performance, track reliability, and identify improvement opportunities
• Support internal teams in adopting and iterating AI tooling across workflows

Requirements

• 2+ years experience in software engineering with strong Python skills
• Experience building applications using LLMs via APIs or open-source frameworks such as LangChain
• Ability to move fast, adapt quickly and ship iterative value-driven solutions
• Comfortable working with data models, querying databases, and structuring input/output for AI systems
• Organized, good at prioritization, and capable of effectively managing multiple projects simultaneously

Nice to Have

• Experience with AI evaluation frameworks or measuring agent reliability
• Familiarity with building Slack bots, browser extensions, or internal integrations

Current Tech Stack

• AI Engineering: LangChain / LangGraph
• Observability: Datadog, LangSmith
• Backend: Python
• Data: BigQuery, dbt
• Infrastructure: GCP, LLM providers
• CI/CD & Infra: GitHub Actions, Terraform, ArgoCD
• Project Management: Linear, Notion