Senior GenAI Engineer (Agentic AI & Databricks)

Accesa & RaRoRomania only

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You will join a team building an ecosystem of AI agents that automate knowledge-intensive workflows, including large-scale content processing and insight generation from diverse data sources.

The solution is built on a modern data platform with a lakehouse architecture, combining agentic GenAI with advanced knowledge-modeling approaches. The architecture is still being shaped — we're looking for a senior engineer who will help shape it: someone tech-agnostic who brings ideas to the table, challenges assumptions, and takes ownership of both decisions and delivery. The GenAI landscape moves fast, and we value engineers who evaluate tools on merit rather than attachment.

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Senior GenAI Engineer (Agentic AI & Databricks)

Accesa & RaRoRomania only

Apply now

Opens the original posting.

Apply now

Share job

Copy link or share on social media.

Apply on the original site

Companies in this catalog do not charge applicants. Never send money to apply.

You will join a team building an ecosystem of AI agents that automate knowledge-intensive workflows, including large-scale content processing and insight generation from diverse data sources.

The solution is built on a modern data platform with a lakehouse architecture, combining agentic GenAI with advanced knowledge-modeling approaches. The architecture is still being shaped — we're looking for a senior engineer who will help shape it: someone tech-agnostic who brings ideas to the table, challenges assumptions, and takes ownership of both decisions and delivery. The GenAI landscape moves fast, and we value engineers who evaluate tools on merit rather than attachment.

Responsibilities

Take an active role in architectural decisions — propose approaches, challenge trade-offs, and co-own the technical direction with the team
Design, build, and orchestrate AI agents for data collection, indexing, and market-intelligence use cases — hands-on, end to end
Develop and maintain data pipelines and lakehouse structures in Databricks
Contribute to the knowledge-modeling layer, building ontologies that ground agent reasoning
Integrate agents with Databricks (Genie or custom agent frameworks — architecture still being shaped, and you'll have a voice in it)
Build robust web scraping and content-indexing components in Python
Continuously identify and propose improvements — to the architecture, the codebase, and the way the team works
Collaborate closely with the existing team through brainstorming, design reviews, and delivery

Must Have

Senior-level engineering experience — you've owned complex technical solutions from design through production, not just implemented tickets

Strong Python engineering skills

Hands-on GenAI experience: LLM-based applications, agentic frameworks, prompt/tool orchestration
Data engineering capability: building pipelines, working with structured and unstructured data
Databricks experience (lakehouse, notebooks, workflows)

A builder's mindset paired with senior judgment: comfortable making decisions with incomplete information, arguing for a technical position, and then rolling up your sleeves to ship it

A tech-agnostic mindset: you choose tools based on the problem, not habit — comfortable evaluating, adopting, and switching between frameworks, agent stacks, and platforms as the architecture evolves

Nice to Have

Experience with knowledge graphs or ontology-based approaches
Web scraping / crawling at scale
Exposure to Databricks Genie or agent frameworks connected to data platforms
Experience in market-intelligence, competitive-analysis, or content-indexing domains
Experience shaping architecture in early-stage / greenfield projects

As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.

At Accesa you can

Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.

Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.

Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.

Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance.

Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.

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.

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