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HomeCompaniesBuraiSenior AI Engineer

Senior AI Engineer

Burai · Zagreb, Zagrebacka, 10000, Croatia (Hrvatska) · Active · BambooHR

Job facts

FieldValue
CompanyBurai
TitleSenior AI Engineer
Normalized title-
Department / teamEngineering
LocationZagreb, Zagrebacka
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2025-07-09 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Burai.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Zagreb.Open
Department jobsActive postings in Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBurai
Source9d1f8ede-97a3-4b8e-88d3-e72b4a3065d2
ATS providerBambooHR

Description

About Burai Burai is an AI-driven productivity platform built around intelligent project management. At its core, Burai transforms h ow teams operate by seamlessly integrating AI Agents into existing workflows to automate repetitive processes. Through its unique “Digital Twin” technology, Burai learns how work actually happens , identifying patterns and surfacing opportunities for agentic automation. Working alongside employees, either in Office365 or Google Workspace, Burai actively monitors emails, joins meetings, and generates actionable summaries and tasks. This ensures that work moves forward efficiently, eliminating the overhead of manual coordination and follow-ups. The result is a smarter, faster, and more intuitive way to manage projects and drive productivity. What You’ll Do Design and architect scalable AI systems, from data pipelines to inference endpoints, ensuring robust system design for multi-tenant SaaS environments. Architect and build advanced AI agents for dynamic workflows and decision-making , leveraging RAG and agentic frameworks Integrate and optimize LLMs for contextual understanding and reasoning , i mplementing sophisticated prompting strategies and evaluation frameworks . Build and optimize machine learning pipelines, including feature engineering, model training, and continuous improvement of AI capabilities. Design robust retrieval systems using vector embeddings. Develop scalable APIs using FastAPI for high-performance integrations. Deploy and manage AI services on Azure , ensuring reliability, security, and scalability. Integrate Google ADK for enhanced AI capabilities in speech, vision, and data insights. Build scalable, high-performing agent orchestrations in a SaaS multi-tenant environment . Prototype and experiment with cutting-edge generative AI technologies. Mentor engineers and establish best practices for AI/ML development and deployment. Requirements Education: Bachelor’s or higher in Computer Science, Engineering, or related field. Experience: 5+ years in backend and AI engineering. 3+ years working with LLMs at scale. Technical Skills: Strong syste m design and architecture skills, with ability to design scalable, maintainable solutions for complex technical challenges. Expert-level Python programming with deep understanding of software engineering principles and design patterns. Proven experience building production LLM applications, including RAG systems, agentic workflows, and prompt engineering at scale. Expertise in FastAPI and RESTful API design and implementation Strong proficiency in SQL for transactional and analytical workloads . Experience with feature engineering and data preprocessing for machine learning models . F amiliarity with Node.js or Go is a plus. AI/ML frameworks: LangChain , Hugging Face, PyTorch /TensorFlow. Vector databases: Pinecone, Qdrant , Weaviate , Milvus, or similar. Hands-on experience with containerization (Docker, Kubernetes) and deployment automation. Cloud platform expertise : Azure required ; experience with AWS or GCP highly valued. Experience with CI/CD pipelines and containerization. Integration with Google ADK . Preferred experience with Model Context Protocol ( MCP ) . Proficiency in relational and NoSQL databases (PostgreSQL, MongoDB, Neo4j). Soft Skills: Excellent communication, leadership, and problem-solving abilities. Nice to Have Strong foundation in ML algorithms and theory, including supervised/unsupervised learning, neural networks, and optimization techniques. Advanced generative AI experimentation. Open-source contributions or AI-related publications. What We Offer Competitive salary and equity options. Autonomy to innovate and shape AI strategy. Career growth through mentorship and learning budgets. Local perks : paid lunches, MultiSport card, and top-tier equipment Apple or Microsoft .

Full job record

Job ID46b316801ef4cd7ffe720de4b4e53a9cfb23984b
Org ID146ca293-f269-4f0b-8751-1fc2f49c6992
Source ID9d1f8ede-97a3-4b8e-88d3-e72b4a3065d2
Board ID9d1f8ede-97a3-4b8e-88d3-e72b4a3065d2
Providerbamboohr
Provider Job Key57
TitleSenior AI Engineer
Normalized Title
Statusactive
Activeyes
Location TextZagreb, Zagrebacka, 10000, Croatia (Hrvatska)
DepartmentEngineering
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
RegionZagrebacka
CityZagreb
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://burai.bamboohr.com/careers/57
Apply URLhttps://burai.bamboohr.com/careers/57
First Seen At2026-05-30 06:01:46Z
Last Seen At2026-06-06 10:27:45Z
Last Checked At2026-06-06 10:27:45Z
Last Changed At2026-05-30 06:01:46Z
Inactive At
Source Posted At2025-07-09 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=burai/date=2026-06-06/2026-06-06T10-27-43-328Z-40ff733bffa9903a987f1e11ab665f24dae126d5f32d749f981452b33718c811.json
Event Fields
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Parsed Structured
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Extensions
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    "description": "<p><span style=\"font-weight: bold\"><span><br></span></span></p>\n<p><span style=\"font-weight: bold\"><span><span>About Burai</span></span></span><span><span> </span></span><span> </span></p>\n<p><span> </span></p>\n<p><span><span>Burai is an AI-driven productivity platform built around intelligent project management. At its core, Burai transforms h</span><span>ow teams </span><span>operate</span><span> by seamlessly integrating AI Agents into existing workflows to automate repetitive processes. Through its unique “Digital Twin” technology, Burai learns how work </span><span>actually happens</span><span>, </span><span>identifying</span><span> patterns and surfacing opportunities for agentic automation. </span></span><span> </span></p>\n<p><span><span>Working alongside employees, either in Office365 or Google Workspace, Burai actively </span><span>monitors</span><span> emails, joins meetings, and generates actionable summaries and tasks. This ensures that work moves forward efficiently, </span><span>eliminating</span><span> the overhead of manual coordination and follow-ups. The result is a smarter, faster, and more intuitive way to manage projects and drive productivity.</span></span><span> </span></p>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>What </span><span>You’ll</span><span> Do</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Design and </span><span>architect</span><span> scalable AI systems, from data pipelines to inference endpoints, ensuring robust system design for multi-tenant SaaS environments.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Architect and build advanced AI agents for dynamic workflows and decision-making</span><span>, </span><span>leveraging</span><span> RAG </span><span>and agentic frameworks</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Integrate and </span><span>optimize</span><span> LLMs for contextual understanding and reasoning</span><span>, i</span><span>mplementing sophisticated prompting strategies and evaluation frameworks</span><span>.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Build and </span><span>optimize</span><span> machine learning pipelines, including feature engineering, model training, and continuous improvement of AI capabilities.</span><span> </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Design robust </span><span>retrieval systems using vector embeddings. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Develop scalable APIs using </span></span><span style=\"font-weight: bold\"><span><span>FastAPI</span></span></span><span><span> for high-performance integrations. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Deploy and manage AI services </span><span>on</span><br></span><span style=\"font-weight: bold\"><span><span>Azure</span></span></span><span><span>, ensuring reliability, security, and scalability. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Integrate </span></span><span style=\"font-weight: bold\"><span><span>Google ADK</span></span></span><span><span> for enhanced AI capabilities in speech, vision, and data insights. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Build </span></span><span style=\"font-weight: bold\"><span><span>scalable, high-performing agent orchestrations in a SaaS multi-tenant environment</span></span></span><span><span>. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Prototype and experiment with </span><span>cutting-edge</span><span> generative AI technologies. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Mentor engineers and </span><span>establish</span><span> best practices for AI/ML development and deployment. </span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Requirements</span></span></span><span> </span></p>\n<ul>\n<li><span style=\"font-weight: bold\"><span><span>Education:</span></span></span><span><br><span>Bachelor’s</span><span> or higher in Computer Science, Engineering, or related field. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\"><span><span>Experience:</span></span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>5+ years in backend and AI engineering. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>3+ years working with LLMs at scale. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\"><span><span>Technical Skills:</span></span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Strong syste</span><span>m</span><span> design</span><span> and architecture skills, with </span><span>ability</span><span> to design scalable, maintainable solutions for complex technical challenges.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Expert-level Python programming with </span><span>deep</span><span> understanding of software engineering principles and design patterns.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Proven experience building production LLM applications, including RAG systems, agentic workflows, and prompt engineering at scale.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Expertise</span><span> in </span></span><span style=\"font-weight: bold\"><span><span>FastAPI</span></span></span><span><span> and </span><span>RESTful </span><span>API design</span><span> and implementation</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Strong </span><span>proficiency</span><span> in SQL for transactional and analytical </span><span>workloads</span><span>.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with feature engineering and data preprocessing for machine learning models</span><span>. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>F</span><span>amiliarity with Node.js or Go is a plus. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>AI/ML frameworks: </span><span>LangChain</span><span>, Hugging Face, </span><span>PyTorch</span><span>/TensorFlow. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Vector databases: Pinecone, </span><span>Qdrant</span><span>, </span><span>Weaviate</span><span>, Milvus, or similar. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Hands-on experience with containerization (Docker, Kubernetes) and deployment automation.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Cloud platform </span><span>expertise</span><span>: Azure </span><span>required</span><span>; experience with AWS or GCP highly valued.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with CI/CD pipelines and containerization.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Integration with </span></span><span style=\"font-weight: bold\"><span><span>Google ADK</span></span></span><span><span>. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Preferred experience with Model Context Protocol (</span></span><span style=\"font-weight: bold\"><span><span>MCP</span></span></span><span><span>)</span><span>. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Proficiency</span><span> in relational and NoSQL databases (PostgreSQL, MongoDB, Neo4j). </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\"><span><span>Soft Skills:</span></span></span><span><span> Excellent communication, leadership, and problem-solving abilities. </span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Nice to Have</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Strong foundation</span><span> in ML algorithms and theory, including supervised/unsupervised learning, neural networks, and optimization techniques.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Advanced generative AI experimentation. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Open-source contributions or AI-related publications. </span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>What We Offer</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Competitive salary and equity options. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Autonomy to innovate and shape AI strategy. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Career growth through mentorship and learning budgets. </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Local </span><span>perks</span><span>: paid lunches, </span><span>MultiSport</span><br><span>card, and top-tier </span><span>equipment</span><span> Apple or Microsoft</span><span>. </span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><br></p>",
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