AI Engineer role at Hiflylabs owning the architecture and delivery of production-grade LLM systems and classical ML solutions, with a focus on RAG pipelines.
Responsibilities
- ▹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
- ▹Define architecture trade-offs (LLM vs traditional ML, fine-tuning vs RAG, hosted vs self-managed models)
- ▹Architect and optimize distributed GenAI/ML workloads on Databricks (Spark, MLflow)
- ▹Implement evaluation frameworks for quality, hallucination and performance
- ▹Productionize systems with CI/CD, monitoring, rollback and versioning
- ▹Independently design AI solutions for client problems
- ▹Lead technical decisions in client engagements, contribute to pre-sales architecture discussions
- ▹Mentor team members and define GenAI/ML best practices
Requirements
- ▹5+ years of experience in Data Science or related field
- ▹Proven experience delivering LLM-based systems to production (not only PoCs), plus classical ML experience
- ▹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)
- ▹Experience deploying scalable ML/LLM systems on AWS, Azure or GCP
- ▹Ability to independently design end-to-end AI solutions
- ▹Client-facing experience, openness to pre-sales processes
- ▹Clear, confident communication in English
Soft skills
MentoringClient relationsIndependenceLeadership
About the company
Hiflylabs is a 250+ person Budapest-based team working across data engineering, data science, AI and application development on international projects.
Languages: Angol: Felsőfok
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