Senior AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 33 days.
• No salary listed.

Apply Now

Check your resume score

Customize resume + cover letter

Find Similar Remote Jobs

☆ Save☑️ Mark as applied❌ Hide

Report problem

GOK | Digital Innovation

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2009

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

GOK | Digital Innovation is a Brazilian digital innovation and AI consultancy that helps companies unlock business value from artificial intelligence. The firm develops AI-driven products and platforms (including a 'No Friction AI' feedback-to-backlog SaaS), runs AI assessments and labs, and provides hybrid squads to build and scale digital solutions for startups and enterprises. GOK emphasizes AI exploration, implementation, and innovation services to drive measurable business outcomes.

📋 Description

• Build and maintain pipelines with version control, automated testing, controlled deployment, and rollback. • Implement MLOps, including model registry, training and inference pipelines, retraining, monitoring, and drift detection. • Implement LLMOps, including a unified model gateway, prompt versioning, automated evaluation, and caching. • Develop RAG and agent-based applications, implementing their harnesses, context management, skills, tools, and execution controls. • Integrate solutions with data sources, APIs, and transactional systems, including integrations via MCP. • Monitor quality, availability, latency, throughput, and costs, with usage-level traceability. • Implement guardrails, access controls, and data protection measures in accordance with regulated-environment requirements. • Investigate failures and maintain recovery procedures and operational documentation.

🎯 Requirements

• Experience in software engineering applied to data and artificial intelligence systems. • Proficiency in Python and experience with Spark. • Experience implementing MLOps and LLMOps. • Practical knowledge of agent harnesses, including execution lifecycle, state management, checkpoints, resumption, and failure handling. • Knowledge of context engineering, including information selection, memory, token limits, and isolation between sessions and users. • Experience with skills, tool calling, and MCP to provide agents with capabilities and tools. • Knowledge of RAG, embeddings, retrieval, and context-relevance evaluation. • Experience with cloud platforms, containers, CI/CD, and infrastructure as code. • Strong understanding of the operational impact of latency, throughput, cost per request, and failure modes. • Knowledge of AI security, including guardrails, permissions, secrets management, and protection against prompt injection. • Experience in regulated environments with audit and traceability requirements. • Willingness to work under a contractor (PJ) arrangement.

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume