Senior AI Engineer: Agentic Workflows (Remote)

Visa Hunt; Buenos Aires; Remote; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Mentorship

Education budget & growth programs

Team activities budgets

Flexible schedule

Job summary

AgileEngine is hiring a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise higher education clients. You will own end-to-end development, including frontend interfaces, backend services, data pipelines, deployment, and production readiness, collaborating with cross-functional teams to deliver robust, scalable solutions.

You’ll work with TypeScript, Python, RESTful APIs, and AWS, leveraging tools like Gemini Enterprise and ADK to build multi-tenant

Qualifications

• 5+ years 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 apps, 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 AWS infrastructure.
• 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 ability to influence engineering practices.
• Experience building enterprise SaaS or multi-tenant systems.
• Leadership mindset and ability to drive changes across teams.

Responsibilities

• 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 escalate 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.

Skills

Java

Spring Boot

Relational databases

AI agents

LLM tool usage

Orchestrated workflows

Coding support for agents

Production software

TypeScript

Python

REST APIs

AWS infrastructure

APIs & architectures

Testing & observability

Security & permissions

Failure recovery

Communication

Enterprise SaaS

Leadership

Tools

Gemini Enterprise

ADK / Google tools

LangChain / LangGraph

Job description

AgileEngine is hiring a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise higher education clients. You will own end-to-end development, including frontend interfaces, backend services, data pipelines, deployment, and production readiness, collaborating with cross-functional teams to deliver robust, scalable solutions.

You’ll work with TypeScript, Python, RESTful APIs, and AWS, leveraging tools like Gemini Enterprise and ADK to build multi-tenant