AI Backend Engineer, Python

Job not on LinkedIn

🔥 15 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• 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 • Collaborate closely with cross-functional teams in a fast-paced financial-industry environment

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Remote-first culture – work from anywhere • In-Company English Lessons • Wellhub or sports club stipend to stay active • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • Food credits via Pedidos Ya • Birthday off + an extra vacation week (Mutt Week!) • Referral bonuses • Annual Mutters' Trip • Monthly Childcare Reimbursement