Senior Agentic AI Engineer — Remote & Flexible

AgileEngine, LLC.; Medellín; Hybrid; COP 442,996,000 - 664,494,000; Full time

Benefits offered by this job

Mentorship

Education budget

Team activities budget

Flexible schedule

Job summary

AgileEngine, LLC. is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. The role emphasizes leading edge AI, scalable architectures, and collaboration across teams.

You will craft reusable agent orchestration patterns, implement production-grade AI tooling, and ensure security, observability, and reliability across complex systems. The position offers flexible schedules with remote and office options.

Qualifications

• 5+ years in a software product development environment.
• Experience with Java and Spring Boot.
• Experience with relational databases.
• Hands-on building AI agents, tool-using LLM apps, or orchestrated workflows.
• Experience using agents to support coding, reviews, testing, release management, or incident response.
• Senior-level experience building/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 testing, observability, security, permissions, and failure recovery knowledge.
• 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 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 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.

Skills

Java

Spring Boot

Relational databases

AI agents

Code review

RESTful APIs

TypeScript

Python

AWS

Distributed systems

Observability

Security

Leadership

Enterprise SaaS

Job description

AgileEngine, LLC. is seeking a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education. The role emphasizes leading edge AI, scalable architectures, and collaboration across teams.

You will craft reusable agent orchestration patterns, implement production-grade AI tooling, and ensure security, observability, and reliability across complex systems. The position offers flexible schedules with remote and office options.