
Applied AI Engineer
Posted Jun 3

Posted Jun 3
This is a fully remote position, open to applicants in Poland.
• Develop AI Agents tailored for specific tasks, encompassing multi-step reasoning, tool utilization, and independent decision-making.
• Create and execute agent workflows — integrating LLMs, retrieval systems, and external tools into dependable, production-ready pipelines.
• Connect agents with client applications, APIs, and enterprise systems.
• Assess, refine, and enhance agent performance through structured testing, tracing, and observability techniques.
• Implement and sustain generative AI solutions within production settings (APIs, microservices, cloud architecture).
• Record your progress, adhere to best practices in LLMOps, and contribute to the establishment of AI development standards at Appsilon.
• Collaborate closely with Data Engineers, Developers, and Analysts to embed GenAI solutions into comprehensive applications.
• Demonstrated experience in constructing and deploying AI agents or agentic systems in production environments (beyond mere prototypes).
• Profound knowledge of LLM orchestration frameworks (such as LangChain, LangGraph, CrewAI, Autogen, Claude Agent SDK, or similar tools).
• Strong grasp of prompt engineering, retrieval-augmented generation (RAG), tool utilization, and function calling methodologies.
• Practical experience with LLM APIs (OpenAI, Anthropic, Google, open-source models) and managing their lifecycle in real-world scenarios.
• Proficient programming capabilities in Python with a background in developing robust and maintainable backend services.
• Competence in evaluating and troubleshooting agent behavior, including tracing, logging, and systematically assessing multi-step workflows.
• Exceptional communication skills with a collaborative mindset towards teamwork.
• Fully remote working options.
• Flexible working hours.
• Budget and dedicated time allocated for professional development (courses, certifications, conferences).
• Access to modern equipment and tools for effective development.
• A supportive environment that encourages innovation, experimentation, and ownership.
• Competitive B2B compensation with clear salary ranges.
• Opportunity to work on impactful, real-world products utilized by enterprise clients and in scientific sectors.
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