AI Agentic Engineer

About the Role
We're seeking an AI Agentic Engineer to design and build intelligent agents that conduct realistic voice interviews. You'll work at the intersection of LLMs, voice AI, and agent frameworks to create engaging, adaptive interview experiences.

Responsibilities
Design and implement AI agents for conducting voice interviews
Develop prompt engineering strategies for natural conversations
Build systems for real-time voice interaction with low latency
Create adaptive interview flows based on candidate responses
Implement evaluation and scoring algorithms
Optimize agent performance and response quality
Experiment with new AI models and agent frameworks
Analyze user interactions to improve agent behavior

Requirements
3+ years of experience working with LLMs and AI systems
Strong understanding of prompt engineering and agent design
Experience with OpenAI API, Anthropic Claude, or similar LLM APIs
Knowledge of agent frameworks (LangChain, LangGraph, AutoGen, etc.)
Proficiency in Python and async programming
Experience with voice AI technologies (STT/TTS)
Understanding of conversation design and dialogue systems
Strong analytical and problem-solving skills

Nice to Have
Experience with real-time voice agents (LiveKit, Twilio, etc.)
Knowledge of reinforcement learning or agent training
Background in NLP or computational linguistics
Experience with embeddings and semantic search
Familiarity with interview processes and assessment methodologies
Published research or blog posts on AI agents