Senior Agentic AI Engineer - Remote & Flexible

AgileEngine, LLC.

Metropolitana

On-site

COP 323,656,000 - 453,118,000

Full time

4 days ago

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Job summary

AgileEngine, LLC. is seeking a Senior AI Engineer to design and implement agentic workflows and AI-powered apps for enterprise software products. You will build multi-agent systems and tool-using LLM applications, coordinating tools, data, and human approvals.

Ideal candidates have 5+ years in software product development, strong Java/Spring Boot, TypeScript, Python, RESTful APIs, and AWS experience, plus a track record delivering production-grade AI-enabled services.

Qualifications

5+ years in software product development.
Proficient in Java and Spring Boot.
Proficient in relational databases.
Experience building AI agents, tool-using LLM apps, 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 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 context, constraints, architecture, acceptance criteria, and technical direction.
Strong judgment in reviewing, testing, securing, and improving agent-generated code.
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.

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.