4 hours ago
Remote, RomaniaSenior
Responsibilities
- Shape GenAI architecture, evaluate trade-offs, and co-own technical decisions from design through production delivery.
- Design, build, and orchestrate AI agents using LLMs, prompts, and tools for data collection, indexing, and market intelligence.
- Develop data pipelines and lakehouse structures in Databricks for structured and unstructured data.
- Build ontologies and knowledge models that organize domain concepts and relationships for grounded agent reasoning.
- Integrate AI agents with Databricks data and capabilities, evaluating Databricks Genie and custom agent frameworks.
- Develop Python components for web scraping, content extraction, and indexing.
- Evaluate tools and frameworks and drive improvements across the architecture, codebase, and engineering practices.
- Collaborate through brainstorming, design reviews, delivery, and technical knowledge sharing.
Requirements
- Senior-level engineering experience with ownership of complex technical solutions from architecture and design through production delivery.
- Strong Python engineering skills for reliable, maintainable production code.
- Hands-on experience building GenAI applications with LLM integration, agentic frameworks, and prompt and tool orchestration.
- Solid data engineering experience building pipelines and processing structured and unstructured data.
- Practical Databricks experience including lakehouse structures, notebooks, and workflows.
- Strong architectural judgment and the ability to make decisions with incomplete information and translate direction into working solutions.
- Hands-on, delivery-focused approach with technical ownership and active implementation.
- Technology-agnostic mindset and ability to evaluate, adopt, and change tools, agent frameworks, and platforms based on product needs.
- Strong collaboration and communication skills for explaining technical choices and contributing to design discussions.
- Experience with knowledge graphs or ontology-based modeling is preferred.
- Experience building scalable web scraping and crawling solutions is preferred.
- Familiarity with Databricks Genie or agent frameworks integrated with data platforms is preferred.
- Experience in market intelligence, competitive analysis, content indexing, or early-stage and greenfield architecture is preferred.
Benefits
- Holistic wellbeing benefits covering physical, emotional, social, and work-life wellbeing.
- Medical benefits, gym support, personalized fitness options, team events, and a Healthy Habits Club.
- Flexible work-life arrangements and a hybrid work environment.
Tech Stack
DatabricksPython
Categories
AI ApplicationsData Engineering
About Accesa
Accesa provides software engineering and IT consulting, building custom applications, modernizing systems, and delivering cloud, data/AI, cybersecurity, and managed services for enterprises in retail, manufacturing, and financial services. Founded in 2004 and headquartered in Cluj-Napoca, Romania, it operates in Europe with offices including Oradea. Its revenue model spans project-based delivery and long-term managed services, supporting end-to-end digital initiatives from discovery through implementation and operations.