Senior AI System Engineer

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Callstack

๐Ÿ“Remote - Worldwide

Summary

Join Callstack as a Senior AI System Engineer and work with top Silicon Valley and Fortune 500 companies. Act as a trusted AI architect and consultant, designing and owning end-to-end LLM & multi-agent architectures. Create and publish libraries utilizing local on-device models and design papers. Build cloud-native AI infrastructure and implement AI governance & monitoring. Evaluate, benchmark, and create custom models. Contribute to the open-source community and mentor other engineers. This role requires a seasoned AI/ML engineer with 10+ years of experience and a Bachelor's, Master's, or Ph.D. in a related field. Fluency in Python and TypeScript, along with skills in vector search & RAG pipelines, is essential. The ideal candidate is data-driven, open-source minded, and a good communicator.

Requirements

  • A seasoned AI/ML engineer with proven track record designing and shipping production AI systems (LLMs, NLP, computer vision, or multi-modal)
  • Have 10+ years of experience in Software Engineering
  • Bachelor's Degree, Master's Degree or Ph. D in Computer Science, Data Science, Artificial Intelligence, or a related field
  • Fluent in Python and comfortable with TypeScript
  • Skilled at vector search & RAG pipelines and understand embedding selection, chunking, and retrieval tuning
  • Comfortable designing multi-agent orchestration
  • Understand AI governance, security, and MLOps
  • Data-driven - you benchmark, profile, and optimize everything from prompt tokens to GPU utilization
  • Good communicator in English (B2+), able to explain complex concepts to technical and non-technical stakeholders
  • Proactive, self-driven, and a team player who loves sharing knowledge and elevating those around you

Responsibilities

  • Act as a trusted AI architect & consultant for our enterprise clients, helping them turn ambitious ideas into robust, production-ready solutions across cloud, edge, and on-prem environments
  • Design and own end-to-end LLM & multi-agent architectures - from vector-based RAG pipelines and document-processing workflows to multi-agent orchestration and autonomous decision frameworks
  • Create and publish libraries utilizing local on-device models
  • Create and publish design papers on behalf of the company together with our Ph. D team
  • Build cloud-native AI infrastructure on AWS or equivalent on Cloudflare / GCP with security, governance, and cost optimization baked in
  • Define and implement AI governance & monitoring (bias detection, drift tracking, compliance reporting) to keep models accurate, explainable, and audit-ready
  • Evaluate, benchmark, and create custom models - open-source and commercial
  • Contribute to the open-source community through internal R&D initiatives
  • Stay one step ahead by experimenting with the โ€œnext big thingโ€ in AI
  • Mentor and inspire engineers around you, sharing knowledge through tech talks, code reviews, and architectural workshops

Preferred Qualifications

  • Open-source minded - public GitHub contributions, conference talks, or community forum activity are huge pluses
  • Fun to work with :)

Benefits

  • 24 paid days off & 30 days paid sick leave for B2B contractors
  • Fully-covered life insurance
  • Private healthcare for you and your family
  • Free access to mental health platform - Helping Hand
  • Multisport Card or monthly allowance for other sports activities
  • Individual Wellbeing & Development Budget
  • Monthly lunch allowance
  • Accounting costs refund for B2B contractors
  • Flexible working hours and fully remote work possibility
  • Cool office in Wrocล‚aw city center
  • Magnificent team events and activities
  • Company-wide workation and team building workshops
  • Top-notch hardware - Apple devices
  • Possibility to participate in React Universe Conf

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