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Hiflylabs

We create business value in a world full of data.

AI Engineer

AI EngineerMachine Learning EngineerContractRemoteSeniorTeam 51-200Since 2013H1B No SponsorCompany SiteLinkedIn

Location

Europe

Posted

67 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSAzureGoogle Cloud PlatformPythonSparkSQL

Job Description

AI Engineer

Hiflylabs

• 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.

Job 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.

Benefits

  • International projects, diverse challenges
  • Advanced technologies
  • Empowerment
  • Flexible ways of working
  • Balanced life
  • Mentoring from your first day
  • Learning & Development opportunities
  • Supportive corporate culture
  • Lots of fun

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