Senior Agentic AI Engineer ID87667

AgileEngine, LLC.; Rio de Janeiro; Hybrid; BRL 602,000 - 953,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. seeks a Senior AI Engineer to design and build agentic workflows and AI-powered applications for enterprise software.

You will lead reusable patterns for agent orchestration, tool use, and memory across production systems. You will use agentic coding tools throughout the lifecycle, integrate agents into development and operations, and establish standards for evaluation, observability, security, and governance.

Qualifications

• 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.

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.

Skills

Java

Spring Boot

Relational databases

AI agents

Multi-agent systems

RAG

Vector search

Agent evaluation

Human-in-the-loop workflows

TypeScript

Python

RESTful APIs

AWS

APIs

Workflow engines

Event-driven architectures

Distributed systems

Testing

Observability

Security

Permissions

Failure recovery

Agentized development

Tools

AWS

RESTful APIs

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.