Senior ML Engineer – Agentic LLMs & Autonomy (Remote)

Factored; México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity participation

Annual company retreat

Education bonus

Paid time off

In‑person events and meetups

Descripción de la vacante

Factored is seeking a Senior Machine Learning Engineer focused on agentic workflows to design, develop, and deploy autonomous LLM-based agents. You will architect plan‑and‑execute strategies, maintain short‑term memory across long tasks, and integrate LLMs with external systems via robust APIs and sandboxed environments.

You will implement guardrails, HITL checkpoints, and evaluation frameworks to ensure safe, efficient multi‑step reasoning.

Formación

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of hands-on experience developing and deploying machine learning models in production environments.
• Strong software engineering fundamentals, including data structures, algorithms, system design, OOP, and API design & integration.
• Proven experience designing and implementing agentic architectures, including multi‑agent workflows, tool‑calling, state management, and HITL patterns.
• Expertise in integrating Generative AI frameworks and APIs (LangChain, LangGraph, OpenAI, Claude) into production‑grade applications.
• Strong understanding of LLM fundamentals, prompt engineering, and debugging tools like LangSmith or Arize Phoenix.
• Experience with vector databases (Pinecone, Milvus, Qdrant) for RAG and long‑term memory.
• Experience with cloud platforms such as AWS, GCP, or Azure for deploying AI workloads.

Responsabilidades

• Architect how the agent breaks down a complex user request into a series of actionable sub‑tasks.
• Develop Plan‑and‑Execute or ReAct patterns where the model thinks before it acts.
• Design robust systems to maintain short‑term memory across long‑running tasks.
• Create the interface between the LLM and external software, databases, or APIs.
• Standardize how the agent calls functions, interacts with legacy systems, or executes Python code in a sandboxed environment.
• Implement error‑handling and self‑correction.
• Build custom evaluation frameworks to measure trajectory success, not just final answers.
• Set up monitoring to visualize the agent’s thought process and identify breakdowns.
• Ensure the agent doesn’t hallucinate tool usage or take unintended actions through guardrails and HITL checkpoints.

Conocimientos

Agentic workflows

Plan‑and‑Execute / ReAct

API design

Memory management

Guardrails / HITL

LLM integration

Tool-calling

Multi-agent workflows

Educación

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics

Herramientas

LangChain

LangGraph

OpenAI

Claude

LangSmith

Arize Phoenix

Pinecone

Milvus

Qdrant

AWS

GCP

Azure

Python

Descripción del empleo

Factored is seeking a Senior Machine Learning Engineer focused on agentic workflows to design, develop, and deploy autonomous LLM-based agents. You will architect plan‑and‑execute strategies, maintain short‑term memory across long tasks, and integrate LLMs with external systems via robust APIs and sandboxed environments.

You will implement guardrails, HITL checkpoints, and evaluation frameworks to ensure safe, efficient multi‑step reasoning.