Senior GenAI Engineer – Agentic AI, Databricks

Job not on LinkedIn

🔥 1 minute ago

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

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Logo of accesa.eu

accesa.eu

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

• Shape the architecture of GenAI solutions and co-own technical decisions from initial 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 data pipelines and lakehouse structures in Databricks • Ingest, transform, and organize structured and unstructured data for AI-driven applications • Build ontologies that organize domain concepts and relationships to ground agent reasoning • Integrate AI agents with Databricks data and capabilities • Evaluate Databricks Genie and custom agent frameworks and help define integration architecture • Build and maintain Python components for web scraping, content extraction, and indexing • Assess tools, frameworks, and implementation approaches and 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 • Experience building scalable web scraping and crawling solutions • Familiarity with Databricks Genie or agent frameworks integrated with data platforms • Experience in market intelligence, competitive analysis, or content indexing • Experience shaping architecture for early-stage or greenfield projects

🏖️ Benefits

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

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