AI Engineer

🕒 July 9

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Hiflylabs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

Artificial Intelligence • Data Engineering • Analytics

Hiflylabs is a data and technology company focused on providing advanced solutions in AI, data engineering, and analytics. With over 200 experts, Hiflylabs has completed more than 500 projects across the US and Europe, offering services like data strategy advisory, AI and data science solutions, and data visualization. The company is recognized for its innovative AI applications and data-driven solutions in various industries including finance, retail, manufacturing, and energy. As a trusted partner for AI and data integration, Hiflylabs excels in transforming legacy systems into modern, efficient platforms through technologies like predictive modeling, machine learning, and interactive knowledge bases.

📋 Description

• Own the architecture and delivery of production-grade LLM systems • Design, evaluate, and optimize RAG pipelines • Build scalable, production-grade LLM services and agentic workflows • Define architecture trade-offs with a focus on system-level optimization • Architect and optimize distributed GenAI and ML workloads on Databricks • Implement evaluation frameworks to measure quality, hallucination, and performance • Independently design AI solutions tailored to client problems • Lead technical decisions in client engagements

🎯 Requirements

• 5+ years of experience in Data Science or a related field • Proven experience delivering LLM-based systems to production • 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 • Client-facing experience and openness to participate in pre-sales processes • Clear, confident communication in English in technical discussions

🏖️ Benefits

• Health insurance • Professional development opportunities • Continuous support through mentoring • International projects and diverse challenges • Balanced work/life culture