Staff AI Engineer — Lead Production AI & Architecture in Argentina

Jobgether; Argentina; On-site; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Competitive salary package

Production AI solutions used by real X

Broad technical scope across multiple:

Job summary

Jobgether is seeking a Staff AI Engineer based in Argentina to lead major AI initiatives and shape scalable AI infrastructure. You will drive architecture decisions, mentor teams, and deliver production-ready AI solutions that improve customer experiences.

In this role, you will own end-to-end delivery from design to deployment, ensuring reliability, security, and cost efficiency while collaborating with Product, Design, QA, and Operations across cross-functional teams.

Qualifications

• Staff Engineer level with proven ability to lead complex, ambiguous initiatives as hands-on contributor.
• Experience designing, building, and deploying production-grade LLM applications, AI agents, or generative AI features used by real customers.
• Ability to influence architectural decisions across teams, establish engineering standards, and drive initiatives from proposal through implementation.
• Proven experience building and maintaining AI evaluation frameworks that combine automated testing, agent traces, human feedback, and production monitoring to measure quality and prevent regressions.
• Strong understanding of AI agent architecture, tool design, and orchestration, including discerning when deterministic logic is preferable to LLM-based solutions.
• Experience designing secure and reliable tool boundaries, human-in-the-loop workflows, and systems balancing performance, latency, security, and costs.
• Sound judgment in build-versus-buy decisions, model selection, and AI provider integrations.
• Strong backend and platform engineering expertise, particularly with Python and Django, PostgreSQL, Redis, asynchronous workers, and REST or GraphQL APIs.
• Ability to design scalable shared AI infrastructure with well-defined interfaces, caching strategies, and tenant isolation.
• Excellent problem-solving, communication, and collaboration skills across Product, Design, QA, and engineering teams.
• A pragmatic, measurement-driven approach to AI development, prioritizing evidence and reliability.

Responsibilities

• Lead the technical design, development, and delivery of major AI initiatives, including AI-powered assistants, contextual data systems, and generative AI features.
• Contribute directly to production AI systems from architecture through deployment, addressing opportunities and improving workflows.
• Drive early improvements in AI quality, reliability, and performance by expanding evaluation coverage and reducing failure points.
• Take ownership of major AI projects from architecture and planning through cross-functional collaboration, deployment, and ongoing optimization.
• Define and influence architectural decisions across engineering teams, with responsibility for AI architecture and shared platform infrastructure.
• Establish scalable AI quality frameworks, including automated evaluations, regression testing, guardrails, agent tracing, human feedback mechanisms, and production monitoring.
• Design and implement reliable AI agents and tool integrations, balancing deterministic logic with LLM capabilities while considering security, latency, reliability, and cost.
• Drive broader engineering initiatives to improve development quality and velocity, including AI evaluation standards and documentation.
• Collaborate with Product, Design, QA, Operations, and engineering stakeholders to translate business needs into effective technical solutions.
• Promote engineering excellence through mentorship, architecture standards, and a culture of continuous improvement.

Skills

Leadership

Backend engineering

Python/Django

AI systems design

Cross-functional collaboration

Problem solving

Tools

Python

Django

PostgreSQL

Redis

REST APIs

GraphQL

Job description

Jobgether is seeking a Staff AI Engineer based in Argentina to lead major AI initiatives and shape scalable AI infrastructure. You will drive architecture decisions, mentor teams, and deliver production-ready AI solutions that improve customer experiences.

In this role, you will own end-to-end delivery from design to deployment, ensuring reliability, security, and cost efficiency while collaborating with Product, Design, QA, and Operations across cross-functional teams.