Senior GenAI Engineer (Agentic AI & Databricks)

About the project
You’ll help build an ecosystem of AI agents for data collection, content processing and market intelligence, while contributing to the architecture and technical direction of the solution.

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

Qualifications

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

At Accesa:

We nurture genuine connections, encourage an active lifestyle, and support the development of a healthy mindset. Our benefits programme is inspired by Maslow’s hierarchy of needs and is designed to prioritize your overall wellbeing.

To live a wholesome experience inside and outside our offices, we need to take care of our overall wellbeing, from the physical aspect to creating a healthy work-life fusion and looking at learning as a lifelong journey and a shared responsibility between our people and our organization.

• Physical Wellbeing: Our wellbeing program includes medical insurance, In-house fitness trainer available remotely and 1 on 1 remote sessions with our Sports and Health Coach focused on nutrition counselling and tailored training plans.

• Work-Life Fusion - Start with at least 21 vacation days (based on seniority) and earn 1 extra day for each completed year of collaboration — up to 29 days — depending on your tenure in the company and/or industry. Enjoy the flexibility to work from both home and the office.

• Growth opportunities: we focus on long-term learning programmes that develop both technical and non-technical skills incrementally. Together with your Career Coach you will discuss what are learning resources and platforms you can access in order to develop your skills.