Senior Agentic AI Engineer ID87667

AgileEngine, LLC.

Santiago del Estero

Hybrid

ARS 212,224,000 - 303,177,000

Full time

2 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay
Exciting projects
Flextime

Job summary

AgileEngine is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered applications for enterprise software products.

You will develop reusable patterns for agent orchestration, tool use, memory, and multi-agent collaboration, applying AI agents and agentic coding across the lifecycle. The role offers flextime with remote and office options and USD-based compensation.

Qualifications

  • 5+ years in a software product development environment.
  • Strong proficiency with Java and Spring Boot.
  • Hands-on experience building AI agents and orchestrated workflows.
  • Experience with multi-agent systems, RAG, vector search, and human-in-the-loop workflows.
  • Proven ability to design agentic applications with robust security and reliability.

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 (planning, testing, debugging, deployment).
  • Integrate agents into development, testing, deployment, and operations workflows.
  • Establish standards for evaluation, observability, security, and governance of agents.
  • Mentor engineers and shape an agentic-first technical strategy across the organization.

Skills

Java
Spring Boot
TypeScript
Python
RESTful APIs
AWS
AI agents
multi-agent systems
vector search
observability

Job description

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 applications for enterprise software products.

MUST HAVES
  • 5+ years of experience in a software product development environment.
  • Strong proficiency with Java and Spring Boot.
  • Strong proficiency with relational databases.
  • Hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.
  • Experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop 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.
  • Experience with Python.
  • Experience with RESTful APIs.
  • Experience with 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.
  • Demonstrated ability to use AI coding agents as productive engineering collaborators across an application codebase.
  • Ability to provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.
  • Strong judgment in reviewing, testing, securing, and improving agent-generated code rather than accepting outputs without verification.
  • Ability to decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.
  • Experience creating workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and **escalate to people when appropriate**.
  • Ability to design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
  • Ability to move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.
  • A product mindset: the ability to understand a problem deeply, make appropriate tradeoffs, and deliver a complete solution that customers can depend on.
NICE TO HAVES
  • Experience building enterprise SaaS or multi-tenant systems.
  • 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.
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.
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