
1001 - 5000 employees
Founded 2008
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
🕒 April 1
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1001 - 5000 employees
Founded 2008
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
• Support build end‑to‑end GenAI applications such as chatbots, voicebots, Talk-to-Data systems, where you will help buiild: data ingestion, retrieval layer, orchestration (e.g. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed. • Implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness. • Perform model selection, prompting strategies, and fine‑tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including guardrails, output evaluation and A/B testing. • Integrating and optimizing LLMs interaction with external tools, APIs, and data sources in a standardized and scalable way by using Model Context Protocol (MCP) connectors • Business understanding and translating problems into technical goals by defining tasks, auditing data feasibility, and highlighting issues. • Supporting project delivery
• Familiarity with theory behind various deep learning concepts • Experience with Machine Learning (ML), especially in Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models. • Fluency in Python and object programing, working knowledge of SQL and vector database • Tech stack in Azure or GCP cloud • Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini. • Experience with microservice architectures • Experience with code repositories and code assistants • Strong business acumen • Ability to come up with creative solutions to address customer problem
• 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, depending on your location. • 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.
Apply Now🕒 April 1
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