Senior Engineer - AI Enablement

IG KnowHow; Kraków; On-site; PLN 182,800 - 218,959; Full time

Benefits offered by this job

Performance-related bonus

Private medical cover

Multikafeteria system

Life insurance

LinkedIn Learning access

Employee Share Plans

Technical training

Well-being events

Additional days off

Home office reimbursement

Job summary

IG KnowHow is seeking a Senior Engineer specializing in AI Enablement located in Kraków. This role involves hands-on engineering to modernize services and implement AI-powered tools. Candidates should have over 8 years of experience in Java backend development and knowledge in API design and microservices architecture.

The position offers a performance-related bonus, private medical cover, and opportunities for technical and leadership training. Join us to advance in a collaborative, delivery-focused environment!

Qualifications

• 8+ years of software engineering experience.
• Experience modernizing production systems at scale.
• Strong knowledge in design and architecture of APIs.

Responsibilities

• Modernize legacy services using AI.
• Build AI-powered development infrastructure.
• Implement AI in CI/CD pipelines for automation.

Skills

Java backend expertise

API design

Microservices architecture

AI/LLM Implementation

Model Context Protocol (MCP)

CI/CD pipeline implementation

Prompt engineering

Job description

Senior Engineer – AI Enablement

Minimum compensation: starting from 18000PLN. The final offer will be determined based on the candidate's experience and competencies.

IGGroup is a FTSE250 FinTech company operating across multiple regions, providing mobile, web and desktop platforms that enable trading of stocks, shares, leveraged products, futures & options, and crypto.

Role

Joined the newly formed Service Modernisation & AI team as a pioneer of AI‑first development practices. The role is hands‑on engineering focused on delivery of modernised services and AI‑powered tooling.

Responsibilities

• Service Modernisation (50%)
  • Modernise legacy services using AI to analyse codebases, understand dependencies, and extract clean APIs.
  • Implement strangler‑fig patterns and other proven migration approaches.
  • Deliver modernised services with comprehensive tests, documentation, and multi‑instance deployment capabilities.
  • Ship results quickly: complete modernisations in fast cycles with monthly milestones.
  • Use AI to accelerate analysis, refactoring, testing, documentation.
  • Demonstrate measurable improvements: faster APIs, better performance, higher reliability.
• AI Implementation & Automation (50%)
  • Build AI‑powered development infrastructure: implement Model Context Protocol (MCP) servers, automate CI/CD pipelines, create AI‑assisted code review, security scanning and test generation.
  • Develop reusable AI tooling for the team and other engineers.
  • Use AI for all coding tasks: refactoring, test creation, documentation, debugging.
  • Achieve measurable productivity improvements and document patterns.
  • Train teams on AI‑enabled workflows and guide when AI should be used versus human judgment.

Qualifications

• Backend Engineering
  • 8+ years of software engineering with Java backend expertise.
  • Experience modernising production systems at scale.
  • Strong API design and microservices architecture knowledge.
  • Understanding of strangler‑fig patterns, service decomposition, and legacy migration strategies.
• AI/LLM Implementation (Critical Differentiator)
  • Hands‑on experience building with Model Context Protocol (MCP).
  • Demonstrated use of ClaudeCode, GitHub Copilot, or similar AI development tools in production.
  • Experience implementing AI in CI/CD pipelines (code review, testing, security scanning).
  • Built agentic AI solutions or AI‑powered automation tools.
  • Understanding of prompt engineering, model selection, and LLM capabilities/limitations.
• Proven AI Impact
  • Achieved measurable productivity improvements using AI in development.
  • Implemented AI‑assisted refactoring, test generation, or documentation at scale.
  • Track record of shipping production systems built with AI assistance.

Culture & Leadership

• Delivery‑focused: ship working modernised services, not just tools.
• Hands‑on: write code daily.
• Pragmatic: use AI to go faster, not be clever.
• Teacher through doing: share learnings via PRs and shipped work.
• Measurement‑driven: track AI productivity gains and share data.
• Collaborative: work across divisions and time zones professionally.

Benefits

• Performance‑related bonus.
• Private medical cover (Medicover).
• Multikafeteria system with multi‑sport card, vouchers, etc.
• Life insurance (Generali).
• LinkedIn Learning platform free access.
• Employee Share Plans.
• Employee‑led diversity networks with budget for events.
• Technical and leadership training in‑class and online.
• Well‑being events, Employee Assistance Programme.
• Summer picnic, New Year party, other social events.
• 3 additional days off a year – 1 for birthday, 2 for voluntary work.
• Home office equipment reimbursement.
• App‑based parking spot booking system.
• Stretching sessions and wellbeing weeks.