Senior AI Engineer with Databricks experience_Europe_Contractor
Employer · Hiflylabs
Software developerSystems analyst
MathematicianBudapest
We're Hiflylabs, a vibrant team of 250 data and tech enthusiasts based in Budapest. We are looking for an AI Engineer to own the architecture and delivery of production-grade LLM systems and classical ML solutions, collaborating closely with international clients and mentoring team members.
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 with a strong focus on system-level optimization (latency, cost, scalability, reliability).
- Architect and optimize distributed GenAI and ML workloads on Databricks (Spark, MLflow).
- 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 challengesWork with clients and partners from all over the world, including projects in New York, the Netherlands, Sweden, or Scotland.Advanced technologiesDiscover cutting-edge tools and technologies.EmpowermentTrust is a cornerstone of our culture, offering space to push your limits.Balanced lifeHealthy work/life balance with no pointless meetings and unnecessary administration.Mentoring from your first dayYour mentor follows you throughout your career path for continuous support.Learning & Development opportunitiesUnlock your potential with ongoing learning support.Supportive corporate cultureSocial cohesion 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).
- 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.