Senior AI Engineer, Agentic AI/AWS

🔥 0 minutes ago

🌐 Poland, Czechia, +4 more countries – Remote

🇵🇱 Poland – Remote 🇨🇿 Czechia – Remote 🇧🇦 Bosnia and Herzegovina – Remote 🇭🇷 Croatia – Remote 🇷🇴 Romania – Remote 🇫🇷 France – Remote

⏳ Contract/Temporary

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Architect and build production-grade autonomous AI agents and multi-agent orchestration frameworks • Develop reusable agent patterns and technical standards across multiple engineering squads • Integrate LLMs with APIs, databases, proprietary tools, and enterprise systems • Implement reliable tool-calling and structured-output workflows • Design and optimize prompt strategies, context management, memory, and agent state • Build stable, long-running agent workflows with appropriate error handling and recovery mechanisms • Implement monitoring, logging, tracing, and evaluation frameworks for agent behavior and model outputs • Support the deployment of AI systems on public cloud infrastructure, primarily AWS • Apply MLOps/AIOps practices across versioning, testing, monitoring, and evaluation • Collaborate with engineering, data, cloud, and business teams to deliver secure and scalable AI solutions

🎯 Requirements

• 5–10 years of professional software, data, or AI engineering experience • Strong hands-on development experience with Python • Proven experience designing and integrating LLM-powered or agentic AI applications • Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or comparable technologies • Strong experience with enterprise AI integration patterns including MCP, A2A, structured outputs, tool calling, or skills-based architectures • Professional experience designing and deploying AI solutions on public cloud platforms, preferably AWS • Experience with MLOps/AIOps practices, including versioning, testing, monitoring, and evaluations • Fluent professional English