AI Software Engineer
New
A
AgileEngineHigher education technology
Workplace type: remote; Locations: Kraków, Olszańska St, 7, Warszawa, 00-002, Poznań, 60-001, Lublin, 20-001, Szczecin, 70-001, Kraków, Country code: PLFull-TimeSenior
Salary6,200 - 8,069 USD per month
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Job Details
- Languages
- Upper-intermediate English level.
- Experience
- 5+ years of experience in a software product development environment.
- Required Skills
- AWSPythonJavaJavascriptSpring BootTypeScriptReactRESTful APIsLLM
Requirements
- Have 5+ years of experience in a software product development environment.
- Bring senior-level experience building and operating production software systems.
- Have hands-on experience building AI agents, tool-using LLM applications, or orchestrated workflows.
- Have experience with multi-agent systems, RAG, vector search, agent evaluation, or human-in-the-loop workflows.
- Have experience using agents to support coding, code review, testing, release management, or incident response.
- Be proficient in Java and Spring Boot.
- Have experience with JavaScript and React.
- Have experience with TypeScript and Python.
- Have experience with RESTful APIs and relational databases.
- Have experience with infrastructure on AWS.
- Understand APIs, workflow engines, event-driven architectures, integrations, or distributed systems.
- Understand testing, observability, security, permissions, and failure recovery.
- Have strong English communication skills and an upper-intermediate English level.
- Familiarity with higher education technology and its privacy and compliance requirements is a plus.
- Experience building enterprise SaaS or multi-tenant systems is a plus.
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 for 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 agentic capabilities and turn successful experiments into production systems.
- Build complete, usable products rather than 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.
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