AI Engineer focused on building data platforms and solutions for analytics at PRODYNA. Collaborating with Data Architects and ML Engineers in a hybrid working model in Athens, Greece.
EG
Hybrid Software Development Engineer III, AI Platform – Finance Products
Posted 21 hours ago
About the role
- Software Development Engineer III developing AI products and deployment pipelines for Finance team. Collaborating with Product Managers to deliver trusted and explainable AI systems.
Responsibilities
- Design and build end-to-end AI products and deployment pipelines.
- Own technical architecture for AI workflows including prompt engineering, RAG, and agentic systems
- Develop and review backend services, APIs, and data pipelines powering AI products
- Translate complex Finance problems into scalable AI system designs
- Ensure AI solutions meet standards for performance, reliability, security, and governance
- Drive production readiness including monitoring, logging, evaluation, and cost control
- Establish best practices for AI development, deployment, and maintenance
- Partner closely with Product and stakeholders to shape technical solutions
Requirements
- Strong hands-on expertise in Python and SQL; Java preferred
- 5+ years of development experience in an enterprise-level engineering environment
- Proven experience building and deploying ML / AI / LLM-powered systems in production
- Deep understanding of prompt engineering, RAG architectures, and agentic workflows
- Experience with modern LLMs and frameworks such as OpenAI, Claude, Gemini, Llama, LangChain, Langflow, LlamaIndex, Semantic Kernel
- Strong software engineering background: API design, distributed systems, system integration
- Experience with data platforms, semantic modeling, and time-series logic
- Good knowledge of Data Structures and Algorithm.
- Solid understanding of cloud-native architectures, containers, and CI/CD pipelines
- Experience with MLOps concepts such as monitoring, evaluation, and lifecycle management
- Understanding of AI security, auditability, and compliance considerations
- Ability to rapidly learn and apply new AI tools and technologies
Benefits
- full benefits package
- exciting travel perks
- generous time-off
- parental leave
- flexible work model
- career development resources
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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