Machine Learning Engineer
Core
Build and maintain production ML/AI features for autonomous agents handling real customer conversations, including prompt engineering, classification, and data extraction.
Role type
Junior Machine Learning Engineer (AI Agent Development)
Builds
DeepBlue OS autonomous agents for customer service
Domain
AI/ML, Voice AI, Customer Service Automation
Deliverable
production ML models | product features
Required skills
Python, LLMs and prompt engineering, NLP, text classification, information extraction, model evaluation metrics, API integration, Git
Preferred skills
LangChain, LangGraph, STT/TTS integration, structured evaluation of LLM outputs
Technologies
LangChain, LangGraph, OpenAI, Anthropic, Deepgram, ElevenLabs, LiveKit, FastAPI, Langsmith
Responsibilities
Develop and improve AI agent components (prompt engineering, classifier pipelines, goal evaluation logic), integrate LLM providers into agent orchestration, implement data extraction pipelines, monitor model performance, contribute to STT/TTS integration layer, write production-quality Python code
Seniority
Junior, mentored IC