AI Engineer

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Cresteo

WebsiteLinkedInAll Job Openings

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

• Transforming the tech industry through honest, transparent, and people-centric approach. • Developing and maintaining our software solutions. • Working with a varied technology stack. • Ensuring that our products are functional, efficient, reliable, and scalable. • Aligning with a vision that values the human side of tech.

🎯 Requirements

• Solid experience in software engineering, with strong backend Python expertise and at least 2 years building production LLM applications. • TypeScript proficiency and familiarity with .NET / C# environments. • Strong experience building AI-powered applications using Python, FastAPI or Flask, Pandas, NumPy, and SQL • Proven production experience with RAG pipelines, structured information extraction, and agent-based workflows • Experience working with Azure AI services such as Azure OpenAI, Azure AI Foundry, and Azure AI Search, or equivalent experience with AWS Bedrock or Google Vertex AI • Experience building and governing AI agents using Microsoft Copilot Studio or equivalent orchestration frameworks such as LangChain, LangGraph, OpenAI Agents SDK, or similar • Strong understanding of AI evaluation frameworks, including hallucination control, prompt regression, latency, cost, and human-in-the-loop validation • Experience building APIs and backend services that integrate with cloud and enterprise operational systems • Experience with Docker and containerized application deployments • Strong technical leadership and ability to drive delivery in client-facing consulting environments • Ability to operate autonomously, guide architecture decisions, and proactively push technical direction forward. • 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