Senior AI Software Engineer

Talanto; Kraków; Hybrid; PLN 218,000 - 387,000; Full time

Job summary

Talanto is seeking a Senior Software Engineer to define an agentic-first approach to software development. You will design agentic workflows using Java, Spring Boot, React, and AI orchestration patterns to production systems with strong security and reliability.

You will mentor teams, implement agent-based tooling, and collaborate with leaders to deliver meaningful outcomes while ensuring observability and governance across services.

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.
• Demonstrated ability to use AI coding agents as productive engineering collaborators.
• Ability to provide agents with context, constraints, architecture, acceptance criteria, and technical direction.
• Strong judgment in reviewing, testing, securing, and improving agent-generated code.

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.
• 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.

Skills

Java

Spring Boot

Relational Databases

AI agents

LLM workflows

Multi-agent systems

TypeScript

Python

RESTful APIs

AWS

Observability

Security

Tools

AWS

Job description

ID87667

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 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 escalating 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.

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.

Match

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Based on 40 similar vacancies

5185–9225$ /month

5185 $ 25%

7207 $ median

9225 $ 75%

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.