Forward Deployed Engineer, AI Workflows + Infrastructure

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Forward Deployed Engineer, AI Workflows + Infrastructure Buenos Aires **Position:** Member of Technical Staff (Node.js + AI Workflows) **Location:** Remote (Must be based in Buenos Aires, Argentina) **About Arative / Bancoli:** * We are a distributed fintech team redefining software development. We don't hire "experts" to write code-we hire brilliant overseers to guide, correct, and empower our AI models and assistants. * Our culture prioritizes High Energy, High Integrity, and the humility to know that the AI is the true subject-matter expert. Your job is "Help the AI to help the company!" **Role Overview:** We're hiring a hands-on technical generalist to help enterprise customers turn AI workflows into working production systems. This is the next version of Solutions Engineering: part customer-facing technical partner, part infrastructure/debugging specialist, part AI-agent operator. AI will do more of the raw implementation work; your job is to steer it, validate it, integrate it, and make sure the customer outcome actually works. * **Direct the AI:** Operate as the project leader where AI is your primary workforce. You will break down complex problems, provide the necessary context, and iterate with the AI to achieve perfection. * **Validate and Orchestrate:** Validate the architectural, security, and performance decisions generated by AI agents for our secure payment systems. * **Multi-Disciplinary Generalist:** Flex across domains (backend, infrastructure, fintech logic). You give the AI the "hands and tools" it needs to succeed. **Requirements:** * Own customer technical onboarding from workflow discovery through production rollout. * Translate messy customer requirements into APIs,

Read the full description at jobs.lever.co. FewerJobs shows a preview and links to the original posting.