Forward Deployed AI Engineer ensuring AI agents perform effectively post-deployment for better hiring decisions. Collaborating with customers to monitor and improve outcomes with AI tools.
Responsibilities
Work closely with customers and customer success to define and track success metrics
Monitor performance of deployed AI agents and identify gaps
Tune prompts, workflows, and agent behavior to improve outcomes
Iterate on agent logic, tool usage, and context management
Debug issues across prompts, integrations, and system behavior
Translate real-world usage into product and system improvements
Requirements
Strong technical background with ability to code when needed
Deep experience with prompt engineering and LLM behavior
Strong understanding of agent systems (tool calling, context management, orchestration)
Heavy user of AI tools (Cursor, Claude, Codex, etc.)
Ability to debug ambiguous issues across AI and system layers
Strong ownership and communication skills
Comfortable working under pressure and tight timelines
Able to own outcomes, not just tasks
Experience implementing agentic workflows or AI agents in enterprise environments
Programming fundamentals + Python/JS experience are a huge plus
Benefits
Direct ownership over how AI performs in the real world
Work on high-impact problems tied to customer outcomes
High visibility across product, engineering, and customer teams
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