--- title: 'AI Python Backend Engineer β€” Forward Deployed at Muttdata' canonical: 'https://feeny.ai/job/ai-python-backend-engineer-forward-deployed-muttdata-argentina-cgw4dy7jbzwf' type: 'job' last_seen: '2026-09-12' --- # AI Python Backend Engineer β€” Forward Deployed at Muttdata - **Company:** Muttdata - **Location:** Argentina - **Work type:** remote - **Posted:** 2026-09-10 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.lever.co/muttdata/02fad11a-59be-43a1-9a6d-f6dff2c07b51 ## 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're looking for a proactive, technically strong AI Backend Engineer (Python) β€” Forward DeployedΒ  to join our team πŸΆπŸš€. You'll work on a strategic project for one of our banking clients, embedded within the bank's AI platform team, taking LLM-based agents into production across the bank's business units. This is an embedded role: you join a team that has an agent to build or deploy, build it on top of the platform's scaffolding (LangGraph, LiteLLM, Langfuse), take it to production through the bank's controls, and leave the team able to operate it on their own. Once that agent is live, you move on to the next team. What you learn in each rotation feeds back into the platform as improvements to the template, observability, and deployment process. This role requires strong ownership, solid architectural judgment, and the ability to build systems that are secure, performant, and built to scale. You'll collaborate closely with cross-functional teams in a fast-paced, high-standards environment typical of the financial industry. 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€“ - Build agents on top of the platform's scaffolding, including tool calling, integration with the bank's internal APIs, state and conversation management, and guardrails. - Take each agent to production on AWS: containers, CI/CD, secrets, permissions, networking, and the bank's security controls. - Define and run evals before going to production, and monitor with Langfuse once deployed (quality, latency, cost). - Unblock technical and process issues together with the Identity, Security, DevSecOps, and Networking teams. - Leave documentation and runbooks so the team can operate the agent independently, transferring knowledge before rotating to the next team. - Feed what you learn in each rotation back into the platform: improvements to the agent template, the deployment pipeline, and observability. Required Skills πŸ’» - At least one LLM-based agent or system taken to production and operated, using LangGraph or an equivalent framework. - 4+ years of backend experience in Python, with production services (FastAPI or another async framework). - Ability to independently take a service from the repo to production on AWS: containers, CI/CD, and observability. - Experience with LLM evaluation (evals, tracing, hallucination control) and agent observability (Langfuse or similar). - Daily use of AI development tools (GitHub Copilot, Claude Code, Cursor). - Ability to join a new team, quickly understand its context, and unblock issues with both technical and business stakeholders. - Clear communication and a habit of documenting and handing off what you build. ## Nice to have πŸ’» - Experience in banking or fintech. - Kubernetes and Terraform. - API security (OAuth2/JWT). - RAG and vector databases. - Building your own MCP servers. - Spec-Driven Development. - Prior experience as an embedded client consultant or in a forward-deployed role. 🎁 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. [linkedin.com](https://ar.linkedin.com/company/mutt-data) ## Other roles at Muttdata - [Data Engineer Lead - Databricks](https://feeny.ai/job/data-engineer-lead-databricks-muttdata-argentina-37rbr0rng04c) β€” Argentina - [Semi Senior Machine Learning Engineer](https://feeny.ai/job/semi-senior-machine-learning-engineer-muttdata-remote-t6jypwhxm74z) - [Data Analytics Engineer](https://feeny.ai/job/data-analytics-engineer-muttdata-remote-yty2bz4vem8d) - [Java Developer Senior](https://feeny.ai/job/java-developer-senior-muttdata-argentina-dtk5v4cnan4c) β€” Argentina - [Senior Machine Learning Engineer](https://feeny.ai/job/senior-machine-learning-engineer-muttdata-remote-703pxbb8m5hm) - [Data Engineer Semi Senior - Databricks](https://feeny.ai/job/data-engineer-semi-senior-databricks-muttdata-argentina-vf6qkv8c0k0k) β€” Argentina - [Data Engineer Senior - Databricks](https://feeny.ai/job/data-engineer-senior-databricks-muttdata-argentina-1jzkty4eqg6z) β€” Argentina - [Senior AI Engineer](https://feeny.ai/job/senior-ai-engineer-muttdata-remote-tbjy688k052x) - [AI Data Engineer](https://feeny.ai/job/ai-data-engineer-muttdata-buenos-aires-qfvd7555n8na) β€” Buenos Aires, Argentina - [Data Engineer Lead - Databricks - Eng](https://feeny.ai/job/data-engineer-lead-databricks-eng-muttdata-argentina-k8ra3qbxpxjr) β€” Argentina