Senior GenAI Engineer, Agentic AI – Databricks

Job not on LinkedIn

🔥 0 minutes 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

• Build an ecosystem of AI agents to automate knowledge-intensive workflows • Shape GenAI solution architecture, evaluate trade-offs, and co-own technical decisions from design through production delivery • Design, build, and orchestrate AI agents for data collection, indexing, and market intelligence • Integrate LLMs, prompts, and tools into reliable end-to-end workflows • Develop and maintain Databricks data pipelines and lakehouse structures • Ingest, transform, and organize structured and unstructured data for AI-driven applications • Build ontologies that organize domain concepts and relationships and provide context for agent reasoning • Integrate AI agents with Databricks data and capabilities • Evaluate Genie and custom agent-framework integration approaches • Build and maintain Python components for web scraping, content extraction, and indexing • Assess tools, frameworks, and implementation approaches • Drive improvements across architecture, codebase, and engineering practices • Participate in brainstorming, design reviews, and delivery • Communicate technical decisions, challenge assumptions constructively, and share implementation insights

🎯 Requirements

• Senior-level engineering experience with ownership of complex technical solutions from architecture and design through production delivery • Strong Python engineering skills and ability to develop reliable, maintainable production code • Hands-on experience building GenAI applications, including LLM integration, agentic frameworks, and prompt and tool orchestration • Solid data engineering experience, including building pipelines and processing structured and unstructured data • Practical experience with Databricks, including lakehouse structures, notebooks, and workflows • Strong architectural judgment and ability to evaluate trade-offs and make decisions with incomplete information • Hands-on, delivery-focused approach with technical ownership and active implementation • Technology-agnostic mindset and ability to evaluate, adopt, and switch tools, agent frameworks, and platforms • Strong collaboration and communication skills • Experience with knowledge graphs or ontology-based modeling preferred • Experience building scalable web scraping and crawling solutions preferred • Familiarity with Databricks Genie or agent frameworks integrated with data platforms preferred • Experience in market intelligence, competitive analysis, or content indexing preferred • Experience shaping architecture for early-stage or greenfield projects preferred

🏖️ 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