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

Your skills

• 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

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