Home › Companies › Burai › Director of AI
Director of AI
Burai · Zagreb, Zagrebacka, 10000, Croatia (Hrvatska) · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Burai |
| Title | Director of AI |
| Normalized title | - |
| Department / team | Engineering |
| Location | Zagreb, Zagrebacka |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2025-11-05 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Burai. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Zagreb. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Burai |
| Source | 9d1f8ede-97a3-4b8e-88d3-e72b4a3065d2 |
| ATS provider | BambooHR |
Description
About Burai
Burai is an AI driven productivity platform built around intelligent project management. We integrate AI Agents directly into existing workflows to automate repetitive processes. Through our “Digital Twin” technology, Burai learns how work actually happens - spotting patterns and surfacing opportunities for agentic automation . Working alongside teams in Microsoft 365 or Google Workspace , Burai monitors communications, joins meetings, and generates actionable summaries and tasks - so work moves forward without the overhead of manual coordination.
The Opportunity
As our Director of AI , you’ll define the AI strategy, lead a world‑class team, and deliver scalable, secure, and responsible AI solutions on Azure that power Burai’s next wave of agentic automation.
What You’ll Do
Set the AI vision & roadmap aligned to business outcomes; prioritize initiatives across GenAI, LLMs, RL, and NLP
Build and lead a high performing org of AI engineers, data scientists, and research scientists; establish best practices across model development, evaluation, and MLOps.
Ship production AI : design, deploy, and operate models and AI agents at scale in a multi‑tenant SaaS environment with strong SLAs.
Architect agentic systems : develop prompting strategies, retrieval of augmented generation, and vector-based memory using modern embeddings.
Own the platform on Azure : leverage Azure ML/Cognitive Services, containerization, and CI/CD to ensure security, reliability, and cost efficiency.
Integrate our stack : lead services built with Python and FastAPI , orchestrate agents (MCP preferred), and connect to vector DBs and data stores.
Collaborate cross functionally with Product, Engineering, and Design to embed AI into customer experiences and internal tools.
Champion Responsible AI practices (privacy, fairness, explainability) and defines KPIs for model quality, latency, safety, and business impact.
Mentor & evangelize level up the team, share learnings internally, and represent Burai in the external AI community.
What We’re Looking For
Experience: 8+ years in AI/ML with 3+ years leading high‑impact teams and shipping AI to production.
Education: MS/PhD in CS, ML, Data Science, or related field (or equivalent experience).
Technical depth:
Languages & Services: Python (FastAPI), plus familiarity with Node.js or Go.
Frameworks: PyTorch or TensorFlow; LangChain; Hugging Face ecosystem.
Retrieval & Memory: Vector databases such as Pinecone, Qdrant, Weaviate, Milvus.
Cloud & MLOps: Azure-first deployment, containerization, CI/CD, observability.
Data Stores: PostgreSQL, MongoDB, Neo4j (relational and NoSQL).
Agentic & Interfaces: Model Context Protocol (preferred), robust prompting, RAG pipelines.
Voice/Vision Add‑ons: Integration experience with Google ADK is a plus.
Product mindset & communication: ability to translate AI capabilities into user and business value; excellent stakeholder management.
Hands-on experience ‑ deploying LLMs and agentic workflows in production.
SaaS domain experience and multi‑tenant security best practices.
Nice to Have
Opensource contributions or AI related publications.
What We Offer
Impact & Ownership: Shape Burai’s AI strategy and platform end-to-end.
Growth: Mentorship, learning budget, and time for experimentation and R&D.
Compensation: Competitive salary and equity .
Tools & Perks: Azure powered stack, top tier equipment (Apple or Microsoft), paid lunches, MultiSport card.
Culture: Fast‑moving, collaborative, and supportive - with a bias for action.
Full job record
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| Org ID | 146ca293-f269-4f0b-8751-1fc2f49c6992 |
| Source ID | 9d1f8ede-97a3-4b8e-88d3-e72b4a3065d2 |
| Board ID | 9d1f8ede-97a3-4b8e-88d3-e72b4a3065d2 |
| Provider | bamboohr |
| Provider Job Key | 75 |
| Title | Director of AI |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Zagreb, Zagrebacka, 10000, Croatia (Hrvatska) |
| Department | Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | Zagrebacka |
| City | Zagreb |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://burai.bamboohr.com/careers/75 |
| Apply URL | https://burai.bamboohr.com/careers/75 |
| First Seen At | 2026-05-30 06:01:46Z |
| Last Seen At | 2026-06-06 10:27:45Z |
| Last Checked At | 2026-06-06 10:27:45Z |
| Last Changed At | 2026-05-30 06:01:46Z |
| Inactive At | — |
| Source Posted At | 2025-11-05 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=burai/date=2026-06-06/2026-06-06T10-27-43-328Z-40ff733bffa9903a987f1e11ab665f24dae126d5f32d749f981452b33718c811.json |
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"description": "<p><span style=\"font-weight: bold\">About Burai</span></p>\n<p>Burai is an AI driven productivity platform built around intelligent project management. We integrate AI Agents directly into existing workflows to automate repetitive processes. Through our “Digital Twin” technology, Burai learns how work actually happens - spotting patterns and surfacing opportunities for <span style=\"font-weight: bold\">agentic automation</span>. Working alongside teams in <span style=\"font-weight: bold\">Microsoft 365</span> or <span style=\"font-weight: bold\">Google Workspace</span>, Burai monitors communications, joins meetings, and generates actionable summaries and tasks - so work moves forward without the overhead of manual coordination.</p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">The Opportunity</span></p>\n<p>As our <span style=\"font-weight: bold\">Director of AI</span>, you’ll define the AI strategy, lead a world‑class team, and deliver scalable, secure, and responsible AI solutions on <span style=\"font-weight: bold\">Azure</span> that power Burai’s next wave of agentic automation.</p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">What You’ll Do</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Set the AI vision & roadmap</span> aligned to business outcomes; prioritize initiatives across GenAI, LLMs, RL, and NLP</li>\n<li><span style=\"font-weight: bold\">Build and lead</span> a high performing org of AI engineers, data scientists, and research scientists; establish best practices across model development, evaluation, and MLOps.</li>\n<li><span style=\"font-weight: bold\">Ship production AI</span>: design, deploy, and operate models and AI agents at scale in a <span style=\"font-weight: bold\">multi‑tenant SaaS</span> environment with strong SLAs.</li>\n<li><span style=\"font-weight: bold\">Architect agentic systems</span>: develop prompting strategies, retrieval of augmented generation, and vector-based memory using modern embeddings.</li>\n<li><span style=\"font-weight: bold\">Own the platform on Azure</span>: leverage Azure ML/Cognitive Services, containerization, and CI/CD to ensure security, reliability, and cost efficiency.</li>\n<li><span style=\"font-weight: bold\">Integrate our stack</span>: lead services built with <span style=\"font-weight: bold\">Python</span> and <span style=\"font-weight: bold\">FastAPI</span>, orchestrate agents (MCP preferred), and connect to vector DBs and data stores.</li>\n<li><span style=\"font-weight: bold\">Collaborate cross functionally</span> with Product, Engineering, and Design to embed AI into customer experiences and internal tools.</li>\n<li><span style=\"font-weight: bold\">Champion Responsible AI</span> practices (privacy, fairness, explainability) and defines KPIs for model quality, latency, safety, and business impact.</li>\n<li><span style=\"font-weight: bold\">Mentor & evangelize</span> level up the team, share learnings internally, and represent Burai in the external AI community.</li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">What We’re Looking For</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Experience:</span> 8+ years in AI/ML with 3+ years leading high‑impact teams and shipping AI to production.</li>\n<li><span style=\"font-weight: bold\">Education:</span> MS/PhD in CS, ML, Data Science, or related field (or equivalent experience).</li>\n<li><span style=\"font-weight: bold\">Technical depth:</span>\n<ul>\n<li><span style=\"font-weight: bold\">Languages & Services:</span> Python (FastAPI), plus familiarity with Node.js or Go.</li>\n<li><span style=\"font-weight: bold\">Frameworks:</span> PyTorch or TensorFlow; LangChain; Hugging Face ecosystem.</li>\n<li><span style=\"font-weight: bold\">Retrieval & Memory:</span> Vector databases such as Pinecone, Qdrant, Weaviate, Milvus.</li>\n<li><span style=\"font-weight: bold\">Cloud & MLOps:</span> Azure-first deployment, containerization, CI/CD, observability.</li>\n<li><span style=\"font-weight: bold\">Data Stores:</span> PostgreSQL, MongoDB, Neo4j (relational and NoSQL).</li>\n<li><span style=\"font-weight: bold\">Agentic & Interfaces:</span> Model Context Protocol (preferred), robust prompting, RAG pipelines.</li>\n<li><span style=\"font-weight: bold\">Voice/Vision Add‑ons:</span> Integration experience with <span style=\"font-weight: bold\">Google ADK</span> is a plus.</li>\n</ul>\n</li>\n<li><span style=\"font-weight: bold\">Product mindset & communication:</span> ability to translate AI capabilities into user and business value; excellent stakeholder management.</li>\n<li>Hands-on experience ‑ deploying <span style=\"font-weight: bold\">LLMs</span> and agentic workflows in production.</li>\n<li>SaaS domain experience and multi‑tenant security best practices.</li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">Nice to Have</span></p>\n<ul>\n<li>Opensource contributions or AI related publications.</li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">What We Offer</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Impact & Ownership:</span> Shape Burai’s AI strategy and platform end-to-end.</li>\n<li><span style=\"font-weight: bold\">Growth:</span> Mentorship, learning budget, and time for experimentation and R&D.</li>\n<li><span style=\"font-weight: bold\">Compensation:</span> Competitive salary <span style=\"font-weight: bold\">and equity</span>.</li>\n<li><span style=\"font-weight: bold\">Tools & Perks:</span> Azure powered stack, top tier equipment (Apple or Microsoft), paid lunches, <span style=\"font-weight: bold\">MultiSport</span> card.</li>\n<li><span style=\"font-weight: bold\">Culture:</span> Fast‑moving, collaborative, and supportive - with a bias for action.</li>\n</ul>",
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