Data Ops Engineer – AI Enablement (100% Remote)

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Summary: We are seeking a Data Ops Engineer – AI Enablement to combine Data/Analytics Engineering with AI Enablement/GenAI, preparing high-quality data and applying LLMs to build analytical solutions and intelligent automation. Highlights: 1. Work in advanced data environments and generative AI 2. Integrate LLM APIs and design GenAI solutions 3. Collaborate with technical and business teams on data and AI solutions **Role description** **We are looking for the best talent… and we would love for you to join our team!** UST is a multinational company headquartered in North America, certified as a Top Employer, with more than 35,000 employees worldwide and a presence in over 30 countries. We are leaders in digital technology services and deliver large\-scale technology solutions for major companies. **What are we looking for?** We are looking for a **Data Ops Engineer – AI Enablement** to work in advanced data environments and generative AI. This role combines **Data/Analytics Engineering** (60%) with AI Enablement/**GenAI** (40%), preparing high\-quality data and applying LLMs to build analytical solutions and intelligent automation. **Location:** 100% remote **English:** B2\+ / C1 **Key Responsibilities** * Develop ETL/ELT processes using Python and SQL. * Integrate data from multiple sources, ensuring quality, consistency, and traceability. * Model data and build analytical datasets and AI pipelines. * Implement data cleaning, validation, and quality control. * Integrate LLM APIs and design GenAI solutions (RAG, prompting, embeddings, semantic search). * Use GenAI tools to accelerate development and documentation. * Document processes, models, prompts, and technical decisions. * Collaborate with technical and business teams on data and AI solutions. **Key Requirements** **Must\-have** * Advanced Python and SQL. * Experience with ETL/ELT and data modeling. * Experience working with medium/large\-scale data. * Knowledge of Git. * Experience with LLM APIs and GenAI projects. * Knowledge of prompting and output evaluation. **Nice to have** * Data Lake / Warehouse / Lakehouse architectures. * Orchestration and cloud environments. * GenAI tools (LangChain, OpenAI, LlamaIndex…). * Experience with RAG, embeddings, and vector databases. * Knowledge of data security and governance. **What do we offer?** * 23 vacation days \+ December 24th and 31st * Benefits (health insurance, remote work, life and accident insurance) * Flexible compensation program (meals, childcare, transport, online English, etc.) * Free access to training platforms * Professional stability and career plan * Referral program with incentives * Option of 12 or 14 annual salary payments * Work\-life balance measures (flexibility, remote work, summer intensive schedule…) * Discounts on the UST Club platform and gym **If you want to know more, apply now and we will get in touch with you!** **Commitment to diversity:** At UST, we promote equal opportunities and do not discriminate based on race, gender, disability, age, religion, sexual orientation, or nationality. We have a strong commitment to inclusion and actively encourage the hiring of people with disabilities. **Skills** bloomberg,user interface,artificial intelligence,capital iq, **About UST** UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future\-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Source: indeed

Posted by

David Muñoz

Indeed · HR

Location

David Muñoz

Indeed · HR

Data Ops Engineer – AI Enablement (100% Remote) by Indeed in 2026 | ok.com