Senior Fullstack Data Scientist

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• Workation. Enjoy working from inspiring locations in line with our workation policy.
• 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.
• 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.

· 8+ years of experience in Data Science/AI engineering

· At least 4+ years of experience in production-ready Python AI-related code development.

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

· Strong analytical and problem-solving skills with the ability to optimize AI solutions for diverse applications.

· Strong knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms.

· Deep understanding of LLM evaluators, validators, and guardrails.

· Hands‑on experience with one or more GenAI frameworks: LangChain, LlamaIndex, LangGraph, or similar orchestration stacks.

· Hands‑on experience designing or operating MCP servers/clients for LLM agents

· Strong Python skills, including production‑grade code, packaging, and testing for data/ML services

· Solid understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model lifecycle, AI architectures.

· Proven ability to collaborate effectively across technical and non-technical teams.

· Familiarity with cloud environments such as Azure (preferred), GCP, or AWS, including AI-related managed services.

· Familiarity with CI/CD, testing, and containerized deployments.

· Excellent communication skills in English, with the ability to convey complex technical concepts to various audiences.

Nice-to-Have Skills & Knowledge:

· Experience in designing and programming ML algorithms and data processing pipelines using Python.

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

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

· Experience with agentic AI development frameworks (e.g., BMAD, multi‑agent orchestration, spec‑driven AI workflows).