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

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.