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AI Cloud Architect

poland

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Tasks:
  • Building high-performing, scalable, enterprise-grade LLM/AI applications in cloud environment  

  • Working with Data Science teams to analyze requirements, build architecture conceptions, lead a implementation GenerativeAI and Machine Learning models into production (Tech Lead)  

  • Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency  

  • Design, delivery and management of industrialized processing pipelines  

  • Defining and implementing best practices in GenAI/ML models life cycle and ML operations/LLM operations  

  • Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices  

  • Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations  

  • Gathering technical requirements & estimating planned work  

  • Presenting solutions, concepts and results to internal and external clients  

  • Creating technical documentation including diagrams

 

Requirements: 
  • At least 8+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)

  • At least 8+ years of experience in production-ready ML-related code development

  • At least 2 years of experience in production-ready LLM-related code development, preferably based on the Retrieval Augmented Generation concept (RAG)

  • At least 3+ years of experience in Cloud Architecture

  • Good understanding and experience with GenerativeAI models APIs (Large Language Models/Large Multimodal Models)

  • Good understanding and experience with LLM orchestrators (e.g., Langchain, etc.) and concepts (RAG, in-context learning, fine-tuning)

  • Good understanding of LLM evaluators, validators, and guardrails

  • Good understanding of LLMOps concepts like GenAI operationalization\scaling (e.g., LLMs serving, performance & API Gateways, LLMs tracking & monitoring)

  • Experience in developing GenAI apps in rapid frameworks (e.g., Streamlit)

  • Experience in MLOps/LLMOps tools like AzureML/AzureAI or GCP VertexAI

  • Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures

  • Good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP

  • UML notation

  • Good communication skills

  • Ability to work in a team and support others

  • Taking responsibility for tasks and deliverables

  • Great problem-solving skills and critical thinking

  • Fluency in written and spoken English. 

 

Nice to have skills & knowledge:  

  • Experience in designing, programming ML algorithms, and data processing pipelines using Python

  • Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps)

  • Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes.

  • BPMN, Archimate 

 

We offer:
  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.

  • “Office as an option” model. You can choose to work remotely or in the office.

  • Great Place to Work® certified employer.​​​​​​​ 

  • Flexibility regarding working hours and your preferred form of contract.  

  • Comprehensive online onboarding program with a “Buddy” from day 1.   

  • Cooperation with top-tier engineers and experts.  

  • Unlimited access to the Udemy learning platform from day 1.

  • Certificate training programs. Lingarians earn 500+ technology certificates yearly. 

  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. 

  • Internal Gallup Certified Strengths Coach to support your growth.

  • Grow as we grow as a company. 76% of our managers are internal promotions.  

  • A diverse, inclusive, and values-driven community.   

  • Autonomy to choose the way you work. We trust your ideas.  

  • Create our community together. Refer your friends to receive bonuses.  

  • Activities to support your well-being and health.

  • Plenty of opportunities to donate to charities and support the environment.  

  • Modern office equipment. Purchased for you or available to borrow, depending on your location.  

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