Forward Deployed AI Engineer

🔥 14 hours ago

🇭🇺 Hungary – Remote

💵 Ft2M - Ft2.7M / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RevoData

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

RevoData is a Netherlands-based data and AI consultancy that specializes exclusively in the Databricks platform. They provide Databricks-focused services including Managed Databricks, Databricks consultancy, architecture reviews, training, AI engineering, geospatial consultancy, and data migration and process optimization. RevoData is a Databricks Gold Partner with a high number of Databricks Champions and a fully Databricks-certified consulting team, focused on helping enterprises build modular, production-ready data & AI platforms.

📋 Description

• Embed with clients to design and build AI solutions that solve real business problems • Turn AI capabilities into real-world applications used by customers and stakeholders • Move AI solutions from experimentation and prototypes into robust, production-ready systems • Prove AI systems work through evaluation and make them measurably better • Design and implement RAG architectures, agentic workflows and fine-tuned GenAI applications • Structure and orchestrate AI-driven applications using GenAI frameworks • Establish evaluation baselines and metrics for prompts, retrieval, models and parameters • Build and manage experiment tracking, model versioning, observability and deployment workflows • Develop automated monitoring, evaluation and CI/CD pipelines for ML and LLM systems • Design scalable training and inference pipelines • Advise clients, translate business challenges into technical roadmaps and lead projects from scoping through delivery • Explain architecture decisions to CTOs and pair-program with engineers to debug pipelines • Work hands-on with Databricks, PySpark, SQL, Delta Lake, Unity Catalog, MLflow and Mosaic AI features

🎯 Requirements

• Experience building AI systems across the full lifecycle, from experimentation to deployment and monitoring • Experience building production-grade GenAI applications, including RAG architectures, agentic workflows and fine-tuning • Experience with platforms such as OpenAI, Anthropic, Azure AI or similar • Experience with GenAI frameworks such as LangChain, LangGraph, Pydantic AI, Hugging Face or DSPy • Evaluation-driven approach: establish baselines, define meaningful metrics and measure improvements • Understanding of LLMOps and MLOps, including experiment tracking, model versioning, observability and deployment • Experience building automated monitoring, evaluation and CI/CD pipelines for traditional ML and LLMs • Experience designing scalable training and inference data pipelines for production • Extensive Python experience with data/ML libraries and ability to write clean, testable, well-structured code • Experience deploying or working with AI solutions in AWS, Azure or GCP • Client-facing consultant mindset: translate business challenges into technical roadmaps and lead projects from scoping to delivery • Databricks experience or Databricks certification is nice to have • Experience with PyTorch or TensorFlow is nice to have • Experience with production LLMOps tooling, including evaluation, monitoring and drift detection, is nice to have

🏖️ Benefits

• Employment facilitated through a third-party Employer of Record/payroll provider in line with Hungarian employment requirements • Access to Databricks learning resources, certifications and partner academies • Regular internal knowledge-sharing sessions and workshops • Opportunities to work hands-on with modern data and AI technologies, including Databricks and the wider data engineering ecosystem • Flexible and collaborative working environment, with remote and hybrid working options • International team collaboration with experienced data and AI professionals across Europe • Growth opportunities to develop technical expertise, consulting skills and technical leadership • Regular team activities and opportunities to connect with colleagues across the wider RevoData team • Sustainable ways of working and wellbeing-focused environment • Seven-month crash course covering certifications, hands-on client project work and internal knowledge-sharing sessions for candidates without Databricks experience, transitioning to a permanent contract upon agreed milestones