AI/ML Engineer

RemoteJobsOne; São Paulo; Teletrabalho; BRL 1 040 000 - 1 819 000; Tempo integral

Resumo da oferta

RemoteJobsOne is seeking an AI/ML Engineer for a fully remote role open to candidates based in Brazil. The position offers a competitive salary range of $200,000–$350,000 per year.

You will design and deploy advanced AI/ML systems, leverage LLMs, RAG, and multi-agent orchestration, and work across secure cloud environments. You will collaborate with cross-functional teams to ship production-ready models.

Qualificações

• Proficiency in Python for AI/ML development and REST APIs/SDK integration.
• Hands-on experience with LLMs, RAG, and prompt engineering in production.
• Familiarity with multi-agent orchestration and tools like LangGraph & LangChain.
• Deep understanding of cloud AI services and secure data pipelines.

Responsabilidades

• Design and optimize AI/ML models leveraging LLMs, RAG, and prompts for production-grade apps.
• Develop and orchestrate multi-agent systems with LangGraph and LangChain.
• Deploy on secure cloud environments (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, Bedrock).
• Build data pipelines, ETL processes, and metadata catalogs for high-quality AI data.
• Create REST APIs and SDK integrations for data and model interactions.
• Collaborate with product, security, and engineering teams following CI/CD practices.
• Document decisions and communicate complex concepts clearly.

Conhecimentos

Python

LLMs

RAG

Prompt engineering

Multi-agent

LangGraph

LangChain

REST APIs

SDK integration

Cloud AI

ETL

Metadata catalogs

CI/CD

Security

Ferramentas

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Descrição da oferta de emprego

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

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.