--- title: '#11 Senior Data & AI Engineer at Muttdata' canonical: 'https://feeny.ai/job/11-senior-data-ai-engineer-muttdata-buenos-aires-2gsqwddsvd4s' type: 'job' last_seen: '2026-10-31' --- # #11 Senior Data & AI Engineer at Muttdata - **Company:** Muttdata - **Location:** Buenos Aires, Argentina - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-30 - **Last confirmed live:** 2026-10-31 - **Apply:** https://jobs.lever.co/muttdata/dc4ae34e-8af2-4dc0-a362-c258cb176635 ## Job description πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€ At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for a Senior Data & AI Platform Engineer to join our team and work on a long-term project with a leading financial institution in Argentina.πŸΆπŸš€ You will build the governed access layer that lets applications, APIs, AI agents, and MCPs consume data and capabilities securely, with full traceability and reusability, moving from direct data access to governed Data Services and Data Products, and connecting Databricks with the AI architecture of the organization. πŸš€ What We Do - Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. - Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client. - Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems. - Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster. - Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval. - Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions. 🌟 Our Partnerships - Amazon Web Services - Astronomer - Databricks 🌟 Our Values - πŸ“Š We are Data Nerds - πŸ€— We are Open Team Players - πŸš€ We Take Ownership - 🌟 We Have a Positive Mindset πŸ” Curious about what we’re up to? Check out [our](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our[blog post](https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! πŸš€ ## Responsibilities πŸ€“ - Design the data access architecture for applications, APIs, AI agents, and MCPs on top of Databricks. - Define secure, reusable patterns for exposing data and capabilities (Data Services, APIs, SQL, functions, and MCP). - Implement authentication and authorization that preserve the identity, context, and permissions of each consumer. - Integrate access layers with Unity Catalog, policies, masking, and governance controls. - Design Data Products and Data Services with clear contracts and versioning. - Ensure traceability and auditability of users, services, agents, and the resources they query. - Integrate Databricks with models, agents, APIs, and internal or external platforms. - Build reusable components that accelerate new AI initiatives. - Define Data-to-AI standards together with the Architecture, Security, and Governance teams. - Work with multiple stakeholders across the organization, translating technical decisions into clear, aligned outcomes. Required Skills πŸ’» - 5+ years of experience in data platform architecture or engineering, integration, or distributed services. - Production experience with Databricks and Unity Catalog. - Experience designing and implementing APIs and services using OAuth2, OIDC, JWT, and service principals. - Practical knowledge of generative AI: agents, LLMs, tool/function calling, and the Model Context Protocol (MCP). - Ability to lead technically and define standards with high autonomy. - Strong communication and stakeholder management skills, working across Architecture, Security, Governance, Development, and AI teams. - Degree in Engineering, Systems, IT, Computer Science, or related fields. - Technical English skills ## Nice to have πŸ’» - Experience with AI services on Databricks. - Experience with API Management platforms. - Experience in data governance frameworks and tooling. - Experience in banking, financial, or other regulated environments. 🎁 Perks - 🌍 Remote-first culture – work from anywhere! - πŸš€Β In-Company English Lessons. - πŸ’ͺ Wellhub or sports club stipend to stay active - πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - πŸ• Food credits via Pedidos Ya – because great work deserves great food. - πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ) - 🀝 Referral bonuses – help us grow the team & get rewarded! - ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team! - πŸ‘Ά Monthly Childcare ReimbursementΒ  – Because supporting families matters too ## About Muttdata ## Company Overview - **One-liner**: Muttdata is an AI and data consulting firm that helps enterprises build scalable data platforms, AI applications, and martech solutions. - **Entity Type**: Private (Privately Held) - **Headquarters**: Buenos Aires, Argentina - **Founded**: 2018 - **Founders**: Not publicly available ## Core Business - **Primary industry/industries**: IT Services and IT Consulting, with a focus on Data & AI, Martech, and Adtech solutions. - **Target customers**: B2B, enterprise clients in retail, ecommerce, CPG, financial services, telecom, healthcare, and gaming. - **Mission or purpose statement**: β€œWe craft AI and data-driven technology with precision and empathy, transforming complexity into scalable solutions that deliver smarter business outcomes.” [muttdata.ai/about-us](https://www.muttdata.ai/about-us) ## Products & Services Muttdata delivers a range of service offerings rather than standalone products. Major capabilities include: - **Data Solutions**: Modern Data Stack, Customer Data Platform, Data Clean Rooms, Identity Resolution. - **Custom Models**: Tailored machine learning models for specific business needs. - **Measurement & Attribution**: Single source of truth, Data-Driven Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), Lift measurement. - **Paid Media Optimization**: Cross-channel optimization, AI-fueled forecasts and recommendations. - **Own Media Personalization**: Gen-AI-driven personalized messages for organic growth and retention. - **Gen AI Applications**: Fashion Model Generation, Virtual Try On, Localized Tailored Ads. - **Data Infrastructure**: Data Warehouses & Lakes, DataOps, Real-Time Insights with OLAP & Streaming. - **Data Engineering**: Data Quality and Integration, Customer 360 Platforms, Compliance & PII Protection. - **AI Applications**: Balance Reconciliation (AI for suspicious activity), Credit Scoring (lower first-payment default rates). ## Market Standing - **Valuation**: Not disclosed - **Key Metric**: 171 employees (as of 2026, +13.9% YoY), 300+ projects successfully deployed [linkedin.com](https://ar.linkedin.com/company/mutt-data) - **Notable Clients**: Mercado Libre, Clip, Claro, Rappi, Galicia, Mabe, Ripley, BCP, Forus, MODO, Social Learning, ClassDojo, RapidSoS, InConcert, Connecture, Sirum [linkedin.com](https://ar.linkedin.com/company/mutt-data) - **Notable Partners**: AWS (Advanced Consulting Partner, sole SOLA partner with Advertising and Marketing Technologies Competency, Machine Learning Consulting Competency), Databricks (Select Tier partner, AI Enterprise Partner of the Year 2025, 90+ certified experts) [muttdata.ai](https://www.muttdata.ai/) - **Growth Signals**: Headcount growth of 13.9% YoY, recognition as Databricks LATAM AI Enterprise Partner of the Year, expansion into US market, and active hiring for roles like Agentic AI DevOps Specialist. ## Competitive Advantages - Deep, certified expertise in both AWS and Databricks ecosystems, rare in the LATAM region. - Full-stack Data/ML team with 10+ years of experience across industries. - Rapid delivery model (tangible results within weeks) using Agile Pods. - Strong track record with major Latin American enterprises and global tech companies. ## Strategic Focus - Expanding AI and data-driven solutions for enterprise clients, with a growing emphasis on agentic AI, generative AI personalization, and advanced attribution. - Building out capabilities in real-time data infrastructure and compliance. - Scaling the team across LATAM and the US while maintaining a remote-first culture. ## Why Work Here - **Remote-first culture**: β€œRemote since before it was cool” – fully remote positions available, with a focus on outcome rather than hours. [muttdata.ai/culture](https://www.muttdata.ai/culture) - **Perks**: AWS & Databricks certifications fully covered; birthday off; an extra vacation week (β€œMutt Week”). - **Culture**: Collaborative, curious, ownership-driven. High employer rating of 4.6/5.0 on LinkedIn (71 reviews), with strong scores in Culture (4.7) and Career (4.6). [linkedin.com](https://ar.linkedin.com/company/mutt-data) - **Open roles**: Agentic AI DevOps Specialist, Data Analytics Senior (Remote – Argentina), Data Engineer Lead – Databricks – Eng (Remote – LatAm). [jobs.lever.co/muttdata](https://jobs.lever.co/muttdata) ## Sources 1. [muttdata.ai](https://www.muttdata.ai/) 2. [muttdata.ai/about-us](https://www.muttdata.ai/about-us) 3. [muttdata.ai/culture](https://www.muttdata.ai/culture) 4. [jobs.lever.co/muttdata](https://jobs.lever.co/muttdata) 5. 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