Senior Software Engineer ID87667

AgileEngine; Medellín; Presencial; COP 277.675.000 - 462.792.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

USD-based compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Software Engineer in Medellín to define agentic workflows using Java, Spring Boot, React, and AI orchestration patterns. You will design, implement, and productionize agentic capabilities with a focus on security, reliability, and auditability for enterprise customers.

You will mentor engineers, collaborate with product and engineering leaders, and help shape a long-term agentic‑first technical strategy across the organization.

Formación

• 5+ years in a software product development environment.
• Strong proficiency with Java and Spring Boot.
• Strong proficiency with JavaScript and React.
• 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.
• 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.
• Ability to decompose complex application work into agent-ready tasks while maintaining architectural consistency.
• Experience creating workflows where agents can reason, select tools, call APIs, manage state, recover from failures, and elevate to people when appropriate.
• Senior-level experience building and operating production software systems.
• Experience using agents to support coding, code review, testing, release management, or incident response.
• 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.
• A product mindset: understand problems deeply, make appropriate tradeoffs, and deliver complete solutions.
• Strong communication skills and the ability to influence engineering practices.
• Upper-intermediate English level.

Responsabilidades

• 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.
• Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
• Move agentic solutions from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.

Conocimientos

Java

Spring Boot

JavaScript

React

Relational Databases

AI agents

LLM workflows

Multi-agent systems

TypeScript

Python

RESTful APIs

AWS

Observability

Security

Incident response

Distributed systems

Natural language tooling

Herramientas

APIs

Workflow engines

Event-driven architectures

Integrations

Distributed systems

Descripción del empleo

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 Software Engineer to help define an agentic‑first approach to software development. This person designs agentic workflows using Java, Spring Boot, React, and AI orchestration patterns, turning successful experiments into production systems. Strong judgment around security, reliability, and auditability matters for enterprise customers.

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.
• Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
• Move agentic solutions from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.

MUST HAVES

• 5+ years of experience in a software product development environment.
• Strong proficiency with Java and Spring Boot.
• Strong proficiency with JavaScript and React.
• 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.
• 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 elevate to people when appropriate.
• Senior‑level experience building and operating production software systems.
• Experience using agents to support coding, code review, testing, release management, or incident response.
• 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.
• A product mindset: the ability to understand a problem deeply, make appropriate tradeoffs, and deliver a complete solution that customers can depend on.
• Strong communication skills and the ability to influence engineering practices across a team.
• Upper‑intermediate English level.

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.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.