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Join us to expand your expertise in AI engineering and create impactful solutions tailored to client needs.\n\n_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._\n\nDesign AI applications such as chatbots, Q&A platforms, and agent workflows\n\nCollaborate with clients to identify needs, opportunities, and recommend LLM-based solutions\n\nDevelop data pipelines, prompt strategies, and datasets to support effective AI models\n\nEvaluate AI systems to ensure accuracy, security, scalability, and compliance with industry standards\n\nResearch and validate technical feasibility while demonstrating business value\n\nStay informed about LLM technologies, frameworks, and methodologies to improve solutions\n\nRequirements\n\nProficiency in Python and experience with web frameworks like FastAPI\n\nBackground in leading and mentoring engineering teams\n\nUnderstanding of AI development lifecycles\n\nFlexibility to use rapid UI prototyping tools like Streamlit or Gradio\n\nFamiliarity with LLM platforms and APIs such as OpenAI, Anthropic, Amazon Bedrock, and Gemini, along with frameworks like LangGraph and LlamaIndex\n\nKnowledge of advanced AI integration patterns like RAG and Agents\n\nSkills in deploying AI solutions at scale with a focus on performance and cost-efficiency\n\nExperience assessing generative AI quality using retrieval, classification, or LLM-based metrics\n\nProven background in AI engineering and delivering machine learning-based solutions\n\nCompetency in problem-solving with strong attention to detail\n\nStrong written and verbal English communication skills (B2+)\n\nNice to have\n\nBackground in designing experiments and conducting A/B testing for model optimization\n\nUnderstanding of retrieval systems, vector search, and ranking algorithms\n\nFamiliarity with protocols like MCP, A2A, and ACP\n\nExperience deploying AI solutions to cloud platforms such as Azure OpenAI, Amazon Bedrock, or GCP Vertex AI; flexibility to leverage on-premise options like vLLM\n\nBackground in enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, or Azure AI Foundry\n\nSkills in using observability and monitoring frameworks and tools\n\nCompany offers\n\nEngineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years\n\nAdvanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies\n\nWorld-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact\n\nProfessional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices\n\nGenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled 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