Senior Agentic AI Engineer - Remote & Flexible

AgileEngine, LLC.

Perímetro Urbano Manizales

Sur place

COP 221 498 000 - 348 068 000

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Il y a 3 jours
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Avantages offerts par ce poste

Professional growth
Competitive pay (USD)
Exciting projects
Flextime

Résumé du poste

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

You will own end-to-end development of intelligent agents, integrate them into CI/CD pipelines, and ensure production readiness with robust testing, observability, and security practices. Ideal candidates bring 5+ years in software product development, strong Java/Spring Boot and TypeScript/Python experience, and a track

Qualifications

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

Responsabilités

  • 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 elevate 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.

Connaissances

Java
Spring Boot
Relational DBs
AI agents
LLM workflows
Code review tooling
TypeScript
Python
REST APIs
AWS
APIs & integrations
Testing & observability
Security & governance
Multitenant SaaS
Leadership

Outils

AWS

Description du poste

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

You will own end-to-end development of intelligent agents, integrate them into CI/CD pipelines, and ensure production readiness with robust testing, observability, and security practices. Ideal candidates bring 5+ years in software product development, strong Java/Spring Boot and TypeScript/Python experience, and a track

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