AI Engineer- remote
Inetum 路 Bucharest, Romania 路 full-time 路 Remote 路 September 16, 2026
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Responsibilities:
- Architect and develop production-grade autonomous agents and multi-agent orchestration frameworks (e.g., LangChain, AutoGen, CrewAI).
- Design, build, and deploy AI solutions based on Large Language Models (LLMs) and agentic architectures.
- Guide technical implementations across multiple parallel squads, ensuring consistent and reusable architectural standards.
- Integrate LLMs with external APIs, proprietary tools, databases, and enterprise systems to enable advanced tool-calling capabilities.
- Optimize prompt engineering approaches, context management, state management, and long-running agent workflows.
- Implement monitoring, logging, evaluation, and observability frameworks for AI applications and autonomous agents.
- Apply MLOps/AIOps practices, including model versioning, testing, performance evaluation, and monitoring.
- Design and deploy AI solutions on cloud platforms, primarily AWS, while collaborating on Azure and Databricks environments where applicable.
- Collaborate with business, data science, engineering, and cloud teams to deliver AI-powered solutions in regulated environments.
Nice to Have
- Experience with Azure AI services.
- Experience with Databricks.
- Experience in Financial Services, Insurance, AML, KYC, Fraud Prevention, or other regulated industries.
Technical Skills
- Strong Python development skills.
- Hands-on experience with AWS, including AWS Bedrock and AgentCore.
- Experience with AI/LLM integration patterns such as:MCP (Model Context Protocol)A2A (Agent-to-Agent communication)Structured OutputsSkills-based architectures
- Knowledge of agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar.
- Experience with MLOps/AIOps practices:VersioningTestingMonitoringEvaluation frameworks
- Experience integrating AI solutions with APIs, databases, and enterprise platforms.
Professional Experience
- 5-10 years of professional experience in AI Engineering, Software Engineering, Machine Learning, or related fields.
- Experience designing and implementing enterprise AI solutions.
- Experience building and deploying autonomous AI agents and multi-agent systems.
- Experience integrating Generative AI and LLM technologies into enterprise applications.
Benefits:
馃實 Full access to foreign language learning platform
馃捇 Personalized access to tech learning platforms
馃搱 Tailored workshops and trainings to sustain your growth
馃┖ Medical Insurance
馃崕 Meal tickets
馃寗 Monthly budget to allocate on flexible benefit platform
馃弸 Access to 7 Card services
馃 Wellbeing activities and gatherings
Mission
Design, build and deploy enterprise-grade AI solutions, autonomous AI agents, and multi-agent orchestration frameworks that support digital transformation initiatives, with a focus on financial services, anti-financial crime processes, and scalable AI platforms. Contribute to the development of secure, reliable, and production-ready AI capabilities that enable organizations to leverage Generative AI and LLM technologies at scale.
- Employer
- Inetum
- Location
- Bucharest, Romania 路 Remote
- Contract
- full-time