Senior AI Engineer

Quick Facts

• Role: Senior AI Engineer
• Focus: Conversational AI agents, orchestration, evaluation, and cloud deployment

Description

Build and maintain conversational AI agents in cloud environments across chat, voice, email, and APIs. You’ll orchestrate AI workflows in Python, connect models to corporate systems and external models, and continuously improve quality using evaluation, monitoring, and human-in-the-loop feedback.

Responsibilities

• Develop and launch scalable conversational AI systems that operate across multiple channels (chat, voice, email, APIs)
• Architect microservices and asynchronous systems for AI applications to ensure high availability and performance
• Implement orchestration and decision logic in Python (control layer for tools, workflows, and system interactions)
• Optimize models through fine-tuning and LoRA integration; choose data-driven approaches between FT and RAG
• Create prompt engineering libraries and evaluation protocols for prompt performance
• Design monitoring and evaluation frameworks (dashboards, metrics) and human-in-the-loop feedback loops
• Work with data specialists to design pipelines for collecting, cleaning, and structuring information for AI agents
• Implement CI/CD pipelines, container standards, and cloud strategies for migrations, cost optimization, and high availability

Requirements

• Strong Python background for hooking up AI models, automation, and orchestration logic
• 1–2 years of hands-on experience with Generative AI and LLMs
• Machine learning engineering experience: data preparation, working with vector databases in the cloud, and training/optimizing models
• Deep understanding of ML evaluation, tuning, and prompt engineering
• Experience with AWS, GCP, or Azure, including container orchestration and CI/CD pipelines
• Experience with agentic frameworks (LangChain, LangGraph) and multi-agent system design
• Experience with backend and frontend architecture

Benefits

• Flexible schedule and opportunity to work remotely within Poland; chance to work abroad up to 60 days annually
• Business-driven relocation opportunities
• Career roadmap, leadership development, career advising, soft skills, and well-being programs
• Certifications (GCP, Azure, AWS) and unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru; English classes
• Stable income (employment contract or B2B) plus Employee Stock Purchase Plan
• Benefits package (health insurance, multisport, shopping vouchers)
• Strategically located offices with entertainment and relaxation zones; free snacks and coffee
• Referral bonuses and corporate social and well-being events

Note: Bonuses may vary based on the role and are discussed during the general interview.