Senior Ai Engineer – Agentic Systems (Remote, Contractor)

Darwoft; Buenos Aires; Híbrido; ARS 216.357.000 - 309.081.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

USD-based pay with education budget

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education.

This role focuses on developing reusable patterns for agent orchestration, tool use, and context management, while mentoring engineers and shaping an agentic-first technical strategy across the organization.

Formación

• 5+ years in software product development.
• Strong proficiency with Java and Spring Boot.
• Experience with relational databases.
• Hands-on experience building AI agents and LLM apps.
• Experience using agents to support coding, testing, or incident response.
• Senior-level experience building production software systems.
• Experience with TypeScript, Python, RESTful APIs, and AWS.
• Experience with APIs, workflows, event-driven architectures, and distributed systems.
• Strong testing, observability, security, permissions, and recovery.
• Ability to turn ambiguous opportunities into practical solutions.
• Strong communication and leadership across teams.
• Experience building enterprise SaaS or multi-tenant systems.

Responsabilidades

• Design and build agentic workflows coordinating tools and data.
• Develop patterns for agent orchestration and multi-agent collaboration.
• Use agentic coding tools across planning, implementation, testing, and review.
• Integrate agents into development, testing, deployment, and support workflows.
• Establish standards for evaluation, observability, security, and governance.
• Prototype new capabilities and turn experiments into production systems.
• Mentor engineers and shape an agentic-first strategy.
• Collaborate with product and engineering leaders to link capabilities to outcomes.

Conocimientos

Java

Spring Boot

Relational DBs

AI agents

Code reviews

Production systems

TypeScript

Python

RESTful APIs

AWS

Distributed systems

Observability

Security & permissions

Leadership

Herramientas

AWS

CI/CD

Agent tooling

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!

ABOUT THE ROLE

We are looking for a Senior AI Engineer to design and build agentic workflows and AI‑powered products for enterprise customers in higher education.

MUST HAVES

• 5+ years of experience in a software product development environment.
• Strong proficiency with Java and Spring Boot.
• Experience with relational databases.
• Hands‑on experience building AI agents, tool‑using LLM applications, or orchestrated workflows.
• Experience using agents to support coding, code review, testing, release management, or incident response.
• Senior‑level experience building and operating production software systems.
• Experience with TypeScript, Python, RESTful APIs, and infrastructure on AWS.
• Experience with APIs, workflow engines, event‑driven architectures, integrations, or distributed systems.
• Strong understanding of testing, observability, security, permissions, and failure recovery.
• Ability to turn ambiguous opportunities into practical, reliable technical solutions.
• Strong communication skills and the ability to influence engineering practices across a team.
• Experience building enterprise SaaS or multi‑tenant systems.
• Leadership mindset and ability to drive changes across different teams.

NICE TO HAVES

• Experience with multi‑agent systems, RAG, vector search, agent evaluation, or human‑in‑the‑loop workflows.
• Familiarity with higher education technology and its privacy and compliance requirements.
• Experience leading technical transformation or introducing new engineering practices.

WHAT YOU WILL DO

• Design and build agentic workflows that coordinate tools, services, data, and human approvals.
• Develop reusable patterns for agent orchestration, tool use, context management, memory, and multi‑agent collaboration.
• Use agentic coding tools throughout the development lifecycle, including planning, implementation, testing, debugging, refactoring, code review, and documentation.
• Integrate agents into software development, testing, deployment, support, and operational workflows.
• Establish standards for agent evaluation, observability, reliability, security, and governance.
• Prototype new agentic capabilities and turn successful experiments into production systems.
• Build complete, usable products—not just demonstrations or isolated model integrations.
• Identify opportunities to improve engineering productivity and product delivery through agentic development.
• Mentor engineers and help shape an agentic‑first technical strategy across the organization.
• Collaborate with product and engineering leaders to connect agentic capabilities to meaningful outcomes.
• Demonstrate the ability to use AI coding agents as productive engineering collaborators across an application codebase.
• Provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.
• Review, test, secure, and improve agent‑generated code rather than accepting outputs without verification.
• Decompose complex application work into agent‑ready tasks while maintaining architectural consistency and product intent.
• Create workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escape to people when appropriate.
• Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
• Move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.
• Understand problems deeply, make appropriate tradeoffs, and deliver complete solutions that customers can depend on.

PERKS AND BENEFITS

• Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation : USD‑based pay with education, fitness, and team activity budgets.
• Exciting projects : Modern solutions with Fortune 500 and top product companies.
• Flextime : Flexible schedule with remote and office options.