Senior AI Engineer with Databricks experience_Europe_Contractor
Employer · Hiflylabs
Software developerSystems analyst
MathematicianFull-timeBudapest
We're Hiflylabs, a vibrant team of 250 data and tech enthusiasts based in Budapest. From data engineering to data science, artificial intelligence and application development, we work on a wide range of projects around the world. We are looking for an AI Engineer to join our team.
Tasks
- Own the architecture and delivery of production-grade LLM systems and classical ML solutions.
- Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring).
- Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate.
- Define architecture trade-offs (LLM vs traditional ML, fine-tuning vs RAG, hosted vs self-managed models), with a strong focus on system-level optimization (latency, cost, scalability, reliability).
- Architect and optimize distributed GenAI and ML workloads on Databricks (Spark, MLflow), leveraging deep understanding of the platform ecosystem.
- Implement evaluation frameworks to measure quality, hallucination, and performance.
- Productionize systems with proper CI/CD, monitoring, rollback, and versioning.
- Independently design AI solutions tailored to client problems, translating business needs into scalable architectures.
- Lead technical decisions in client engagements and actively contribute to pre-sales architecture discussions.
- Mentor team members and define GenAI and ML best practices.
Conditions & benefits
International projects, diverse challengesThrough Hiflylabs' global nature you can work with clients and partners from all over the world.Advanced technologiesWhile immersing yourself in mind-blowing projects and tasks, you'll discover cutting-edge tools & technologies.EmpowermentTrust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you'd like to push your limits.Balanced lifeWe highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.Mentoring from your first dayContinuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.Learning & Development opportunitiesIf you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential.Supportive corporate cultureIn addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect.
Requirements
- 5 years of experience in Data Science or a related field.
- Proven experience delivering LLM-based systems to production (not only PoCs), as well as experience with classical ML projects.
- Strong hands-on experience with RAG, agents, and open-source LLMs.
- Deep understanding of system-level trade-offs (latency, cost, scaling, reliability), and experience optimizing production systems accordingly.
- Strong Python and SQL skills.
- Deep hands-on experience with Databricks and distributed computing (Spark), including performance optimization.
- Experience deploying scalable ML/LLM systems on AWS, Azure, or GCP.
- Ability to independently design end-to-end AI solutions in response to client problems.
- Client-facing experience and openness to participate in pre-sales processes.
- Clear, confident communication in English in technical discussions.