AI Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Take charge of the architecture and implementation of production-quality LLM systems and traditional ML solutions.

• Design, assess, and enhance RAG pipelines (retrieval strategy, chunking, indexing, monitoring).

• Develop scalable, production-ready LLM services and agentic workflows, in conjunction with conventional ML systems where suitable.

• Determine architectural trade-offs (LLM vs traditional ML, fine-tuning vs RAG, hosted vs self-managed models), emphasizing system-level optimization (latency, cost, scalability, reliability).

• Architect and fine-tune distributed GenAI and ML workloads on Databricks (Spark, MLflow), utilizing a profound understanding of the platform ecosystem.

• Establish evaluation frameworks to assess quality, hallucination, and performance.

• Transition systems to production with appropriate CI/CD, monitoring, rollback, and versioning protocols.

• Independently create AI solutions customized to client needs, converting business requirements into scalable architectures.

• Steer technical decisions during client engagements and actively engage in pre-sales architecture discussions.

• Mentor team members and establish best practices for GenAI and ML.

⛳️ Requirements

• Over 5 years of experience in Data Science or a related discipline.

• Demonstrated experience in delivering LLM-based systems to production (not limited to PoCs), along with a background in traditional ML projects.

• Strong practical experience with RAG, agents, and open-source LLMs.

• In-depth understanding of system-level trade-offs (latency, cost, scalability, reliability) and experience in optimizing production systems accordingly.

• Proficient in Python and SQL.

• Extensive hands-on experience with Databricks and distributed computing (Spark), including performance optimization.

• Experience in deploying scalable ML/LLM systems on AWS, Azure, or GCP.

• Capability to independently design end-to-end AI solutions in response to client challenges.

• Client-facing experience and willingness to engage in pre-sales activities.

• Clear and confident communication in English during technical discussions.

🏝️ Benefits

• International projects with a variety of challenges.

• Access to advanced technologies.

• Empowerment in your role.

• Flexible working arrangements.

• A balanced lifestyle.

• Mentoring from day one.

• Opportunities for learning and development.

• A supportive corporate culture.

• Plenty of fun.