LLM Engineer / RAG / Agents

Worldwide | Nov. 12, 2026

Report as Closed

Company: Solox

Country: Worldwide

Salary: $32,400 - $38,400

Type: Remote

Employment: Full-time

Description: We develop digital solutions for the mining industry None

  • 3 or more years in ML or software engineering, with LLM, RAG projects or agents in production.
  • Solid Python and experience with vector bases and hybrid search.
  • Experience evaluating systems with LLM, beyond testing by hand.

We are forming a team that, with the use of AI, agents and machine learning, allows us to generate value at different stages of the mining business.

Example: process optimization, automatic reportability, process planning and resequencing of activities using agents, etc.

We have multiple mining clients located in Chile, with the decision made to advance AI solutions.

The projects require sporadic trips to mining sites. Day-to-day work requires participation in meetings with clients and developing agent-based solutions.

Our vision is to be a startup that adds value to its mining clients, supporting their digital transformation towards the use of data effectively and intelligently for their strategic and operational decision making

Functions of the position
  • Design and build the agent: RAG on documents and data from operational areas in the mine, use of tools and flows with human validation.
  • Make the answers cite their sources and abstain when there is no evidence.
  • Set up the evaluation of the agent: test sets, quality metrics and regression detection.
  • Record traces and decisions for audit.
  • Choose and compare models (commercial APIs and open models) according to cost, quality and confidentiality.
  • Work with the expert engineer in the mining process so that the rules and diagnoses are technically correct.
Conditions

We are a start-up in development, with high growth potential. We have the flexibility to carry out work remotely.

Optional
  • Application observability with LLM and inference cost control.
  • Industrial data, maintenance or mining.
  • Open models and deployment in environments with confidentiality restrictions.

Apply here:

Web: Apply here

Emails:



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