Senior GenAI Engineer, Agentic AI, Databricks

Job not on LinkedIn

🔥 21 hours ago

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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accesa.eu

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

Consulting • Manufacturing • Healthcare

Accesa is a leading technology company that has been a trusted IT partner since 2004. Specializing in custom software development, application modernization, cloud solutions, data analytics, AI, and cybersecurity, Accesa helps businesses across diverse industries including retail, manufacturing, and finance. The company is known for its customer-centric approach, providing tailored solutions that drive innovation and growth for its clients. With a focus on digital transformation, Accesa builds strong, flexible, and collaborative partnerships, ensuring high-quality service delivery and customer satisfaction. Their services span intelligent workplace solutions, business hyperautomation, and comprehensive managed operations, making Accesa a reliable choice for future-ready organizations.

📋 Description

• Take an active role in architectural decisions and co-own the technical direction • Design, build, and orchestrate AI agents for data collection, indexing, and market-intelligence use cases • Develop and maintain data pipelines and lakehouse structures in Databricks • Contribute to the knowledge-modeling layer by building ontologies that ground agent reasoning • Integrate agents with Databricks Genie or custom agent frameworks • Build robust web-scraping and content-indexing components in Python • Identify and propose improvements to the architecture, codebase, and team practices • Collaborate through brainstorming, design reviews, and delivery

🎯 Requirements

• Senior-level engineering experience owning complex technical solutions from design through production • Strong Python engineering skills • Hands-on GenAI experience, including LLM-based applications, agentic frameworks, and prompt/tool orchestration • Data engineering capability, including building pipelines and working with structured and unstructured data • Databricks experience, including lakehouse, notebooks, and workflows • Comfortable making decisions with incomplete information and defending technical positions • Tech-agnostic mindset and ability to evaluate, adopt, and switch between frameworks, agent stacks, and platforms • Experience with knowledge graphs or ontology-based approaches (nice to have) • Web scraping/crawling at scale (nice to have) • Exposure to Databricks Genie or agent frameworks connected to data platforms (nice to have) • Experience in market intelligence, competitive analysis, or content indexing (nice to have) • Experience shaping architecture in early-stage or greenfield projects (nice to have)

🏖️ Benefits

• Medical benefits • Gym support • Personalised fitness options • Team events • Healthy Habits Club • Flexible work-life dynamic • Mental wellbeing support • Social wellbeing initiatives • Hybrid-environment community activities