AI Engineer / Sr. AI Engineer - Agentic Systems - Argentina

Agentic AI first, with data engineering as your declared second focus. Start: as soon as possible.ABOUT DATABRIDGEDatabridge is a Swiss-led data & AI company based in Zug, Switzerland. We work closely with analytics, AI and data teams across industries such as pharma, insurance, finance and public transport, often in environments where data is business-critical and mistakes are costly. Our work sits between strategy and execution: close enough to the data to solve real problems, close enough to stakeholders to keep initiatives moving. Swiss leadership. Global engineering. Trusted data.In this role you join a new AI initiative with the US organization of a global science & technology leader: the first production agent projects there, which set the pattern for how AI gets built across the business. You work alongside two Databridge engineers already on the account. This is your starting point with us, not the whole picture: Databridge runs data and AI work for several clients, and the people we trust move across them.YOUR PRIMARY FOCUS: AGENTIC AIBuild and run production AI agents. From the governed data platform to the agent you own prompts, tools, APIs and agent designTwo concrete first use cases: automating quotations from incoming customer requests, and preparing sales teams for negotiations with cited briefs, scenario simulations and roleplayWork inside an existing framework, LangChain today, MCP supported, model-agnostic across Anthropic, OpenAI and others, and shape it: maintainable, shareable components rather than one-off buildsEvaluate what your agents produce: factual accuracy, citations, guardrails, and cost per model once a solution is rolled outAct as technical lead on your project: propose how the work should run, drive requirements engineering with the business, set the meeting cadenceYOUR SECOND FOCUS: DATA ENGINEERINGIntegrate the sources your agents need, CRM, market data and internal documents, through the client's central data platform Palantir Foundry and standard AWSDesign the API layer between the data and the agent. Data engineers bring sources into the platform, you take it from thereTooling: Python, Git and Docker as daily tools, AWS as the default environmentWHAT YOU BRING5+ years building and deploying AI/ML applications, 10+ for the Sr. titleProduction experience with LLM APIs, RAG and an agent framework such as LangChain or LangGraph, and with evaluating AI output beyond "it looks right"You have connected an agent or model to a real business system: CRM, ERP or an internal APIEnough data engineering to work end-to-end: pipelines, data quality, API designFluent English, spoken and written. Native level not required4 to 6 hours of live overlap with US West Coast working hoursWHAT WE WEIGHT HIGHEST: MINDSET & SOFT SKILLSCurious · asks questions · challenges us · proactive · takes ownership · fast learner. The requirements are still being written; we want someone who helps write them rather than waits for a ticket.NICE TO HAVEPalantir Foundry, a real advantage on this account. Cited answer generation, CRM-based agents, negotiation or scenario simulation, roleplay applications, AI guardrails, enterprise agent platforms such as Langdock.WHAT WE OFFERA long-term engagement, not a project gig. This is the first of several AI projects with this client, and Databridge has a growing portfolio of data and AI engagements across clients; we keep good people busy. 100% remote from Argentina. Direct collaboration with the technical leads and business stakeholders in an international senior team, an AI-forward engineering culture, competitive compensation, and the chance to set the pattern for the AI projects that follow. Room to grow alongside experienced data scientists and engineers.Setup: independent contractor, you invoice in USD. If you are not set up yet, we will help you sort it out. It is the standard model for international remote work in Argentina.