AI Engineer
Core
Building reliable, scalable LLM and agent systems to empower sales teams with autonomous agents for meeting prep, objection handling, and opportunity management.
Role type
Senior Machine Learning Engineer (LLM & Agents)
Builds
Production-ready conversational and autonomous agents, LLM features, and evaluation pipelines for a European sales AI platform.
Domain
AI/ML applied to sales and customer engagement
Deliverable
production ML models
Required skills
Python, LLMs (prompt design, evaluation, cost/performance trade-offs), agentic systems (tool execution, workflows, memory), LangChain/LangGraph, NLP concepts (transcription, embeddings), ML engineering (orchestration, monitoring, logging), dataset construction for deterministic and non-deterministic systems
Preferred skills
Low-level languages (Java, C), MCP (Model Context Protocol), DeepEval, FastAPI, Uvicorn, open-source research in LLMs and agentics
Technologies
Python, LangChain, LangGraph, FastAPI, Uvicorn, DeepEval, MCP
Responsibilities
Design and optimize the agentic stack for reliability and low latency; architect end-to-end LLM features including routing and monitoring; build robust evaluation datasets and pipelines; collaborate with software engineers on scalable ML infrastructure; work with product managers on feature feasibility and delivery; contribute to technical strategy and architecture decisions; stay current on LLM and agentics research.
Seniority
Mid-Senior, hands-on IC
