Accesa
Senior GenAI Engineer (Agentic AI & Databricks)
Remote role where the employee must remain based in a particular country.
Romania only
Employer listed it 8 days ago · Added yesterday
First listed 8 days ago and still open.
Salary
Not stated
Location
Romania only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
This employer didn't state pay. Jobs like this usually pay around $175k–$230k a year, a typical range taken from 595 senior-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Romania. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Employees can work remotely, , Romania, Employees can work remotely, ro, Remote"
What Nomaders makes of it
- Residency required in Romania
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Company Description 
Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth.
A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions.
With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community.
You’ll join a team building an ecosystem of AI agents to automate knowledge-intensive workflows, from processing content at scale to generating insights from diverse data sources.
The solution combines a modern lakehouse data platform with agentic AI and advanced knowledge modeling. The architecture is still evolving, and we’re looking for a senior engineer to help shape it—someone who brings ideas, challenges assumptions, and takes ownership from technical decisions through delivery.
We value a pragmatic, technology-agnostic approach. As the GenAI landscape evolves, you’ll evaluate tools based on their strengths and fit for the problem, keeping an open mind about new approache
 
Responsibilities   
AI Architecture & Technical Ownership → Shape the architecture of GenAI solutions by proposing approaches, evaluating trade-offs, and co-owning technical decisions with the team, from initial design through production delivery
AI Agent Development & Orchestration → Design, build, and orchestrate AI agents for data collection, indexing, and market intelligence, integrating LLMs, prompts, and tools into reliable end-to-end workflows
Data Engineering & Lakehouse Development → Develop and maintain data pipelines and lakehouse structures in Databricks, supporting the ingestion, transformation, and organization of structured and unstructured data for AI-driven applications
Knowledge Modeling & Ontology Development → Contribute to the knowledge-modeling layer by building ontologies that organize domain concepts and relationships, providing context to ground agent reasoning
Agent Integration & Databricks Connectivity → Integrate AI agents with Databricks data and capabilities, evaluating approaches such as Genie and custom agent frameworks while helping define the integration architecture
Python Development & Web Data Extraction → Build and maintain robust Python components for web scraping, content extraction, and indexing, ensuring reliable data collection and maintainable code
Technical Evaluation & Continuous Improvement → Assess tools, frameworks, and implementation approaches; identify and drive improvements across the architecture, codebase, and engineering practices as the solution evolves
Technical Collaboration & Knowledge Sharing → Work closely with the team through brainstorming, design reviews, and delivery; communicate technical decisions, challenge assumptions constructively, and share implementation insights
Must Have
Senior-level engineering experience, with demonstrated ownership of complex technical solutions from architecture and design through production delivery
Strong Python engineering skills, with the 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, with the ability to evaluate trade-offs, make decisions with incomplete information, and translate technical direction into working solutions
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Accesa, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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