Artificial Intelligence Engineer

<b>Description</b><br><p>Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.</p><p>We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.</p><p>We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&amp;D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.</p><p><br></p><p>📍&nbsp;Work location - remote from Ukraine</p><p>If you are interested in this opportunity, please submit your CV in English.</p><br> <b>Responsibilities</b><br><ul><li>Design, build, and deploy GenAI systems using LLMs for real-world applications, including agentic workflows, RAG pipelines, and orchestration logic.</li><li>Implement multi-step reasoning systems using frameworks like LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.</li><li>Optimize retrieval pipelines with efficient embedding strategies and vector stores such as OpenSearch, PostgreSQL pgvector, Pinecone, and others.</li><li>Rapidly experiment with and integrate new research and GenAI tooling into scalable prototypes and customer-ready solutions.</li><li>Collaborate with cross-functional teams to ship AI-powered features and assist in aligning AI efforts with business goals.</li></ul><br> <b>Requirements</b><br><ul><li>3+ years of experience in AI/ML engineering with a track record of building and shipping production-grade AI systems.</li><li>5+ years of hands-on experience with Python and deep learning frameworks such as PyTorch and HuggingFace Transformers.</li><li>Experience with orchestration frameworks such as LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.</li><li>Solid understanding of embedding strategies, retrieval optimization, and semantic search using vector stores.</li><li>Experience with AWS services, including Bedrock, SageMaker, Lambda, and other serverless and container-based deployment approaches.</li><li>Familiarity with MLOps practices, including CI/CD for models, monitoring, and reproducibility in cloud-native environments.</li><li>Strong communication skills and the ability to collaborate across product and engineering teams.</li><li>Fluent written and verbal communication skills in English</li></ul><br> <b>Benefits</b><br><ul><li>Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)</li><li>International work environment</li><li class="ql-align-justify">Referral program – enjoy cooperation with your colleagues and get a bonus&nbsp;</li><li>Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)</li><li>Wellbeing and professional coaching</li><li>English classes</li><li>Soft skills training</li></ul><p>Country-specific benefits will be discussed during the hiring process.</p><p>Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.</p><p>#LI-Remote #LI-AIT</p><br>