AI/ML Engineer

RemoteJobsOne; México; A distancia; MXN 3.619.000 - 6.333.000; Jornada completa

Descripción de la vacante

RemoteJobsOne is hiring an AI/ML Engineer for a fully remote role based in Mexico. You will design and deploy AI/ML models using LLMs, RAG, and multi-agent orchestration, ensuring secure, scalable production systems.

You will work with cross-functional teams to build robust data pipelines, REST APIs, and SDK integrations, while adhering to secure coding and DevOps practices. Strong communication is essential.

Formación

• Strong Python programming for AI/ML tasks.
• Production-ready LLM, RAG, and prompt engineering experience.
• Familiar with multi-agent orchestration frameworks.
• Experience with cloud AI services (GovClouds, Vertex AI, Bedrock).
• Data pipelines, ETL, metadata catalogs knowledge.
• CI/CD and secure coding practices.
• Excellent written and verbal communication.

Responsabilidades

• Design, implement, and optimize AI/ML models using LLMs, RAG, and prompts.
• Develop and orchestrate multi-agent systems with LangGraph and LangChain.
• Deploy solutions on secure cloud environments (GovCloud, Vertex AI, Bedrock).
• Build data pipelines, ETL processes, and metadata catalogs.
• Create REST APIs and SDK integrations for data/model access.
• Collaborate with product, security, and engineering teams following CI/CD.
• Document decisions and communicate complex concepts clearly.

Conocimientos

Python

REST APIs

SDK integration

LLMs

RAG systems

Prompt engineering

Multi-agent orchestration

DevOps CI/CD

Herramientas

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Descripción del empleo

This is a fully remote position, open to candidates based in Mexico.

Pay: $200,000-$350,000/yr

Job Title: AI/ML Engineer

Job Type: Full-Time

About Us:

the company is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

Job Summary:

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to the company's proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities:

1. Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
2. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
3. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
4. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
5. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
6. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
7. Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills and Qualifications:

1. Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
2. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
3. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
4. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
5. Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
6. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
7. Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications:

1. Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
2. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
3. Prior exposure to government or highly regulated cloud environments and compliance standards.