HeyMilo is building AI interviewers that run real conversations with candidates. We help companies screen faster and make better hiring decisions using conversational AI.
We work closely with customers to deploy AI into real hiring workflows and ensure it delivers measurable outcomes.
The Role
We’re hiring a Forward Deployed AI Engineer to own the performance and success of AI agents in production.
This role sits at the intersection of engineering, product, and customer success. You’ll work directly with customers post-deployment to ensure their AI agents are performing at a high level and continuously improving.
What you’ll do
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
What we’re looking for
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
Bonus
Experience with conversational AI across voice, SMS, or chatbots
Experience with telephony or voice systems
Experience evaluating and improving production AI systems
Familiarity with recruiting, HR tech, or workflow automation
Why join
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
Fast-paced, execution-driven environment
