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Taulia's Commitment: Diversity, Equity, and Inclusion It is our duty to create and advance a diverse and inclusive company where all Taulians feel they are celebrated. All individuals are welcomed, free to express themselves and rewarded for showing up authentically every day. By hiring women, people of color, individuals with disabilities, veterans, people of all sexual orientations and from underrepresented and marginalized communities, Taulia will revolutionize fintech. About the Job AI is only as smart as the data it consumes. We are seeking an AI Data Engineer to ensure our agent ecosystem is powered by high-quality, structured, and retrieval-ready data. You will serve as the primary bridge between our AI Center of Excellence and existing data teams, coordinating data readiness and architecting the custom integrations or interfaces needed to expose business data to AI tools. By building and managing reusable data pipelines and retrieval architectures, you ensure our AI agents can access the right information securely and performantly, working in lockstep with the AI Solutions Architect to bring high-value agents to life. Responsibilities Custom Data Integrations: Building and maintaining the custom connectors (APIs, ETL pipelines) required to extract data from core business systems for use in AI tools. Working with system owners to unlock "siloed" data that is currently inaccessible to our AI ecosystem. Data Pipeline & RAG Optimization: Designing and maintaining the data pipelines that feed our AI knowledge base. Optimizing "Retrieval-Augmented Generation" (RAG) performance by improving how documents are chunked, tagged, and indexed to reduce hallucinations. Ensuring data freshness so agents never act on obsolete information. Data Library Management: Creating and maintaining the "AI Data Library" - a comprehensive technical map of where our enterprise data lives, its schema, and its owner. Working with business teams to identify "Dark Data" (valuable data trapped in PDFs or desktops) and bringing it into the AI ecosystem. Data Quality & Governance: Implementing automated checks to monitor data quality and completeness. Ensuring sensitive data (PII) is properly flagged and excluded from general AI access where appropriate. Skills, Knowledge and Experience required AI & Search Ecosystem Experience: Demonstrated experience integrating data with Enterprise Search engines and AI agents, or RAG-based systems. You understand what makes data "searchable" for an AI. LLM & Agent Familiarity: Practical experience preparing data specifically for consumption by Large Language Models and agentic orchestration tools. You know how to structure data to minimize hallucinations. Data Engineering Experience: 5+ years in data engineering, ETL development, or database management. Integration Expertise: Strong experience building custom API connectors and data ingestion scripts. Unstructured Data Expertise: Experience working with unstructured data (text, documents) and NLP concepts. SQL & Scripting: Strong proficiency in SQL and Python. Skills Meticulous attention to detail—you care deeply about data cleanliness. Understanding of enterprise knowledge management challenges. Ability to audit data sources and identify gaps. Strong communication skills to work with business owners on data access and cleanup. About Taulia Taulia is a fintech company that is part of the SAP group. More than 2 million businesses in over 150 countries collaborate on our network. Our customers include Airbus, AstraZeneca, and Nissan. We help them and their suppliers access cash when and where they need it most. Some of our customers have improved their working capital by more than $1 billion while making their supply chains more resilient and sustainable. For more information, please visit www.taulia.com . Compensation Compensation & Pay Transparency: SAP Taulia believes that pay transparency contributes to an honest, supportive culture and is a vital part of our commitment to equity. The estimated annualized base salary range for this position is $165,000 - $185,000. This range represents a good faith estimate of the base salary at the time of posting. Actual compensation will be determined by a variety of factors, including (but not limited to) the candidate’s specific skills, depth of experience, qualifications, and geographic location. AI Statement At Taulia, we are embracing Artificial Intelligence to revolutionize our industry and empower our team. We believe AI is a fundamental tool for innovation, efficiency, and creative problem-solving. We are looking for forward-thinking individuals who share our excitement for the future and are eager to learn, experiment, and grow with us in an AI-driven landscape. If you have a curious, adaptive, and collaborative mindset, you will thrive here. Benefits: Flexible work schedule Remote-friendly environment Comprehensive Insurance Coverage (Medical, Dental, Vision, Life) Comprehensive PTO Structure (PTO, Sick Leave, Bereavement) Global Parental Leave Company issued equipment (Laptop, monitor, etc.) 401k with match Career Development/Pathing EAP Program/Mental Health Advocacy Supportive Work Culture Taulia is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age. If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.