AI Engineer

Job not on LinkedIn

🔥 2 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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Logo of Cresteo

Cresteo

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Cresteo is a strategic technology partner that designs, builds, and operates enterprise AI solutions. They offer an AI Agentic Studio and the Cresteo Forge framework to integrate GenAI, agentic systems, LLMOps, computer vision, data & analytics, and cybersecurity into production on client infrastructure. Cresteo embeds with enterprise teams to deliver digital transformation, platform engineering, and measurable outcomes across industries such as fintech, legal, healthcare and e-learning, and emphasizes security (ISO/IEC 27001) and strong delivery metrics (reduced costs, faster time-to-market, high client retention).

📋 Description

• Develop and maintain software solutions. • Work with a varied technology stack. • Ensure products are functional, efficient, reliable, and scalable. • Develop innovative AI-powered products. • Shape solutions from scratch in a hands-on role. • Work within a small, high-trust team solving real problems with real impact.

🎯 Requirements

• Extensive experience in software development and solution architecture. • Strong backend skills in at least two of the following stacks: .NET, Java, Python, Node.js. • Hands-on experience with modern frontend frameworks such as React or Angular. • Deep understanding of architectural principles: performance, security, scalability, and maintainability. • Comfortable working across the full development lifecycle: coding, architecture, deployment, and support. • Experience with containerization, CI/CD pipelines, and modern deployment workflows. • Proven ability to quickly ramp up on unfamiliar technologies and work across different stacks as needed. • Experience building AI-native products or integrating AI agents into production environments. • Practical familiarity with agentic development and tools such as Bedrock, Vercel AI SDK, AgentCore, vector databases, semantic search, and LLM-driven solutions. • Experience designing and implementing RAG pipelines, autonomous agents, and/or multi-agent orchestration. • Ability to design, implement, and orchestrate agents end-to-end, including model evaluation, prompting, integrations, and inference flows. • Practical knowledge of ML fundamentals, embeddings, evaluations, agent training, and fine-tuning (non-academic, hands-on). • Strong ownership, autonomy, and technical judgment for architectural decision-making. • Clear and concise communication skills for documentation, reporting, and cross-team collaboration. • Advanced English level.

🏖️ Benefits

• 100% Remote • USD above-average salaries • Profit Sharing Policy • Unlimited PTOs after your first year (20 PTOs the first year) • Equipment for your setup • Great work/life balance • Honest, simple, and transparent culture • US-based clients and international teams

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