Senior Backend Consultant (Python&Java) with AI/ML skills
Kraków Senior AI Engineering
At a glance
Senior AI Engineering role at GFT Technologies. Kraków.
Pay not stated AI Engineering salary
RoleAI Engineering
SenioritySenior
LocationKraków
PostedSep 9, 2026 · 6w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build Python AI and GenAI systems for production, including LLM applications, RAG pipelines and agent-based workflows
- Connect Python solutions to Java services and enterprise platforms through APIs, microservices and integration components
- Test AI outputs against quality measures, adding human review, audit trails and safeguards
- Shape technical designs, build automated tests and contribute to CI/CD checks, monitoring and production support
- Work with architecture, QA, platform and operations teams to resolve delivery risks and improve engineering practices
What you bring
- At least four years of professional software engineering in both Python and Java
- Hands-on experience delivering AI and GenAI solutions, including practical work with LLMs and RAG
- Commercial Java experience with enterprise systems, plus the ability to review and sometimes change Java code
- Experience building APIs and microservices, with strong testing practices and knowledge of secure, resilient software delivery
- You can work from the client’s Kraków office six to eight days each month
Who this fits
This suits a senior engineer who can build AI systems while integrating them into established Java environments. The role involves hybrid work at a client office in Kraków for six to eight days monthly, under a B2B contract.
From the employer
Type of contract: B2B contract
Salary range: 125-160 PLN/H
What will you do?
You will build production-grade AI and GenAI solutions using Python, contributing to a large-scale enterprise technology transformation. You will work on LLM-based capabilities, RAG solutions, agentic workflows and integrations with an existing Java-based ecosystem while ensuring high standards of security, testing, governance and operational resilience.
Your tasks
- Design and develop production-grade AI and GenAI solutions in Python
- Build and integrate LLM-based applications, RAG pipelines and agentic workflows
- Develop secure APIs, microservices and integration components
- Integrate Python-based solutions with existing Java services and enterprise platforms
- Evaluate and validate AI-generated outputs using measurable quality criteria
- Apply human-in-the-loop controls, traceability and auditability
- Contribute to technical design and architecture decisions
- Develop unit, integration, contract and automated evaluation tests
- Follow secure coding standards and AI governance requirements
- Contribute to CI/CD pipelines, quality gates and automated security checks
- Implement logging, monitoring, metrics and tracing
- Identify and resolve technical risks, dependencies and delivery blockers
- Support releases, production readiness and incident response
- Collaborate with architects, Tech Leads, QA, platform and operations teams
- Contribute to engineering standards and continuous improvement
Requirements
- 4+ years of professional software engineering experience in Python and Java
- Hands-on experience building AI and GenAI solutions
- Practical knowledge of LLM capabilities, limitations and safe usage patterns
- Experience designing and implementing RAG solutions
- Experience with agentic or tool-using AI workflows
- Experience with prompt engineering, evaluation and validation approaches
- Knowledge of AI governance, security, traceability and auditability
- Experience developing microservices and APIs
- Previous commercial experience with Java and Java-based enterprise systems
- Ability to understand, review and occasionally modify Java code
- Experience with relational databases such as PostgreSQL or Oracle
- Knowledge of schema design, transactional integrity and performance optimization
- Strong unit, integration and contract testing practices
- Experience with CI/CD pipelines and quality gates
- Hands-on experience with cloud platforms (Azure preferred)
- Knowledge of REST, messaging and event-driven integration patterns
- Experience making pragmatic technical decisions in complex enterprise environments
- Strong understanding of secure software development and operational resilience
- Openness to work hybrid from our client's office (Kraków) 6-8 days a month
Nice to have
- Previous strong hands-on Java and Spring Boot development experience
- Experience delivering solutions in regulated financial services
- Experience with Kubernetes, containers and service mesh technologies
- Knowledge of modern observability tooling
- Experience with performance engineering and resilience testing
- Experience with prompt and model version management
- Experience establishing AI-enabled SDLC practices
- Experience measuring the quality and productivity of AI-assisted development