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

databridge AG; Argentina; Remote; ARS 137,255,000 - 257,352,000; Full time

Benefits offered by this job

100% remote from Argentina

USD invoicing

Job summary

Databridge AG is hiring for a senior AI/Data Engineering role. The candidate will build production AI agents, manage integration with data platforms, and lead technical initiatives across the US and client teams. You will work with LangChain/LangGraph, Palantir Foundry, and AWS to deliver end-to-end AI solutions.

The role emphasizes design, governance, and performance evaluation of agent outputs, with a focus on maintainability and cross-team collaboration in a remote setting from Argentina.

Qualifications

• 5+ years building and deploying AI/ML applications, 10+ for the Sr. title
• Experience with production LLM integrations and agent frameworks such as LangChain or LangGraph
• Experience connecting agents/models to real business systems (CRM/ERP/internal APIs)
• End-to-end data engineering experience: pipelines, data quality, API design
• Fluent English, spoken and written; US West Coast overlap required

Responsibilities

• Build and run production AI agents across data platforms and tools
• Design the API layer between data sources and agents
• Lead technical decisions, requirements engineering with the business, and set meeting cadence
• Integrate CRM, market data and internal documents via Palantir Foundry and AWS
• Use Python, Git and Docker daily; ensure maintainable, scalable components

Skills

Python

LangChain/LangGraph

LLM APIs

Data engineering

Docker

AWS

Git

API design

English (fluent)

Tools

Palantir Foundry

AWS

Docker

REST APIs

SQL

Job description

Agentic AI first, with data engineering as your declared second focus. Start: as soon as possible.

ABOUT DATABRIDGE

Databridge 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 AI

• Build and run production AI agents. From the governed data platform to the agent you own prompts, tools, APIs and agent design
• Two concrete first use cases: automating quotations from incoming customer requests, and preparing sales teams for negotiations with cited briefs, scenario simulations and roleplay
• Work 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 builds
• Evaluate what your agents produce: factual accuracy, citations, guardrails, and cost per model once a solution is rolled out
• Act as technical lead on your project: propose how the work should run, drive requirements engineering with the business, set the meeting cadence

YOUR SECOND FOCUS: DATA ENGINEERING

• Integrate the sources your agents need, CRM, market data and internal documents, through the client's central data platform Palantir Foundry and standard AWS
• Design the API layer between the data and the agent. Data engineers bring sources into the platform, you take it from there
• Tooling: Python, Git and Docker as daily tools, AWS as the default environment

WHAT YOU BRING

• 5+ years building and deploying AI/ML applications, 10+ for the Sr. title
• Production 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 API
• Enough data engineering to work end-to-end: pipelines, data quality, API design
• Fluent English, spoken and written. Native level not required
• 4 to 6 hours of live overlap with US West Coast working hours

Curious · 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 HAVE

Palantir 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 OFFER

A 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.