Senior Agentic AI Engineer — Remote & Flexible

AgileEngine, LLC.; Wrocław; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine seeks a Senior AI Engineer to design and build agentic workflows and AI-powered applications for enterprise software products. You will craft patterns for orchestration, tool use, memory, and multi-agent collaboration, using AI coding tools across the development lifecycle.

You will integrate agents into development, testing, deployment, support, and operations, setting standards for evaluation, observability, and security while mentoring engineers and shaping a strategic,

Qualifications

• 5+ years 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 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 escape 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: understand problems deeply, make appropriate tradeoffs, and deliver a complete solution 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

RESTful APIs

AWS

TypeScript

Python

Testing & observability

Job description

AgileEngine seeks a Senior AI Engineer to design and build agentic workflows and AI-powered applications for enterprise software products. You will craft patterns for orchestration, tool use, memory, and multi-agent collaboration, using AI coding tools across the development lifecycle.

You will integrate agents into development, testing, deployment, support, and operations, setting standards for evaluation, observability, and security while mentoring engineers and shaping a strategic,