AI Engineer
Hiflylabs
contract
Posted on:
Location Type: Remote
Location: Anywhere in Europe
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About the role
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LLM systemsclassical ML solutionsRAG pipelinesdistributed computingperformance optimizationPythonSQLCI/CDmonitoringversioning
Soft Skills
mentoringclient-facing experienceclear communicationtechnical decision-makingtranslating business needs