Senior AI Engineer – Agentic AI, AWS

This is a fully remote position, open to applicants in Poland, +5 more countries.

📋 Description

• Design and construct production-level autonomous AI agents alongside multi-agent orchestration frameworks.

• Create reusable agent patterns and establish technical standards across various engineering teams.

• Integrate large language models (LLMs) with APIs, databases, proprietary tools, and enterprise systems.

• Develop dependable tool-calling and structured-output workflows.

• Craft and refine strategies for prompts, context management, memory, and state of the agent.

• Create stable, long-lasting agent workflows that include suitable error handling and recovery processes.

• Establish monitoring, logging, tracing, and evaluation frameworks for agent behavior and model outputs.

• Facilitate the deployment of AI systems on public cloud platforms, primarily focusing on AWS.

• Implement MLOps/AIOps methodologies encompassing versioning, testing, monitoring, and evaluation.

• Collaborate with engineering, data, cloud, and business teams to provide secure and scalable AI solutions.

⛳️ Requirements

• 5–10 years of relevant experience in software, data, or AI engineering.

• Strong practical development expertise in Python.

• Demonstrated experience in designing and integrating applications powered by LLMs or agentic AI.

• Familiarity with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.

• Extensive experience in enterprise AI integration patterns, including MCP, A2A, structured outputs, tool calling, or skills-based architectures.

• Professional experience in designing and deploying AI solutions on public cloud platforms, ideally AWS.

• Knowledge of MLOps/AIOps practices, including versioning, testing, monitoring, and evaluations.

• Proficient in English at a professional level.

• Located in Europe.

• Valid EU work authorization.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.

• Health and wellness programs.