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Open nowFirst seen 3 days ago

Data & AI Engineer

DIGITALL Nature25 open roles

Where
Sofia, Bulgaria
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Your applicationOpen nowData & AI EngineerDIGITALL Nature · Sofia, Bulgaria

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on DIGITALL Nature's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

At DIGITALL we don't just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries.

This is your job:

RAG & Unstructured Data Pipelines

  • Design and build scalable ingestion and processing pipelines for unstructured content including PDFs, audio, video, and images.
  • Implement document processing workflows covering OCR, metadata extraction, content enrichment, chunking strategies, and vector indexing to support RAG solutions.
  • Develop multimodal processing capabilities that handle diverse source formats consistently and at scale.
  • Build and maintain embedding, retrieval, and re-ranking pipelines integrated with enterprise search and AI platforms.

Reusable Patterns & Accelerators

  • Develop a library of reusable pipeline templates, blueprints, and starter kits for common unstructured data processing use cases using Python.
  • Document reference architectures, cookbooks, and implementation guides to reduce time-to-value across teams.

Collaboration

  • Partner with data architects, AI engineers, and business teams to translate requirements into reliable data products.
  • Contribute to code reviews, engineering standards, and shared documentation practices.

Your qualifications:

  • Demonstrated experience leading engineers or technical teams in a hands-on capacity, able to set direction, unblock teams, and contribute directly to delivery.
  • Proven ability to design end-to-end data and AI architectures and communicate them clearly to both technical and non-technical audiences.
  • Experience managing or co-leading vendor relationships, including evaluation, onboarding, and ongoing delivery oversight.
  • Track record of translating strategic or business-level requirements into concrete technical designs and phased delivery plans.
  • Proven experience in data engineering with a focus on unstructured data processing and AI/search use cases.
  • Hands-on expertise with Databricks, Google Cloud Platform.
  • Experience building RAG or enterprise search pipelines including chunking, embedding, and indexing workflows.
  • Familiarity with multimodal content processing (PDF, audio, video) and associated tooling.
  • Understanding of DevOps practices: CI/CD, automated testing, and pipeline monitoring.

Nice to Have

  • Experience with Vertex AI for embedding generation and model serving.
  • Familiarity with graph databases or knowledge graph concepts.
  • Exposure to federated data architecture or data mesh principles.
  • Experience in Agile/SAFe delivery environments 

Organizational information:

  • All applications will be treated in strict confidentiality
  • Please note that only shortlisted candidates will be invited to an interview
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