Machine Learning Engineer
Core
Building reliable, scalable LLM and agent systems to empower sales teams with autonomous agents that manage meetings, objections, and opportunities.
Role type
Senior Machine Learning Engineer (LLM & Agents)
Builds
Production-ready conversational and autonomous agents, LLM orchestration features, and evaluation pipelines.
Domain
AI/ML applied to sales (B2B SaaS)
Deliverable
production ML models
Required skills
Python, LLMs (prompt design, evaluation, cost/performance trade-offs), Agent systems (tool execution, workflows, memory, LangChain/LangGraph), NLP (transcription, embeddings), ML fundamentals, FastAPI, Uvicorn, DeepEval, MCP
Preferred skills
Low-level languages (Java/C), ASR systems, open-source research in LLMs/agents
Technologies
Python, LangChain, LangGraph, FastAPI, Uvicorn, DeepEval, MCP, ASR
Responsibilities
Design and optimize the agent stack for reliability and low latency; architect end-to-end LLM features (orchestration, routing, monitoring); build ML infrastructure (observability, scaling, deployment); construct robust evaluation datasets and pipelines; collaborate with software engineers and product managers; contribute to technical strategy and roadmap.
Seniority
Mid-Senior (2-5 years experience)
