AI Engineer

Who We Are Based in The Romania Excellence Centre, Bucharest - our client is seeking for experienced professionals who value teamwork, pioneering technology, and innovation. People who want to take their careers to the next level of success. You will be part of a global and diverse team, contribute to all stages of software development lifecycle and lead the implementation, deployment and test of multi-agent systems. Also, this role will give you the chance to: • Use frameworks like Google Agent Development Kit (Google ADK) and LangGraph to build robust, controllable, and observable agentic architectures • Assist in the design of LLM-powered agents and multi-agent workflows (planning, tool use, orchestration, memory, and human-in-the-loop) So if you are an experienced AI Engineer please join our team to create the next big thing in digital banking. What You’ll Be Doing Design and build complex agentic systems with multiple interacting agents Implement robust orchestration logic (state machines / graphs, retries, fallbacks, escalation to humans) Implement RAG pipelines, tool calling, and sophisticated system prompts for optimal reliability, latency, and cost control Apply core ML concepts to evaluate and improve agent performance, including dataset curation and bias/safety checks Lead the development of agents using Google ADK and/or LangGraph, leveraging advanced features for orchestration, memory, evaluation, and observability Integrate with supporting libraries and infrastructure (e.g., LangChain/LlamaIndex, vector databases, message queues, monitoring tools) with minimal supervision Define success metrics, build evaluation suites for agents (automatic + human evaluation), and drive continuous improvement Curate and maintain comprehensive prompt/test datasets; run regression tests for new model versions and prompt changes Deploy and operate AI services in production, establishing CI/CD pipelines, observability, logging, and tracing Debug complex failures end-to-end, identifying and document root causes across models, prompts, APIs, tools, and data Work closely with product managers and stakeholders to shape requirements, translate them into agent capabilities, and manage expectations Document comprehensive designs, decisions, and runbooks for complex systems What We’re Looking For Bachelor’s degree in Computer Science, Engineering, or related field At least 3 years of experience as Software Engineer / ML Engineer / AI Engineer, with at least 1-2 years working directly with LLMs in real applications Strong proficiency in Python (core language features, packaging, testing, async, type hints) Very strong software engineering practices: version control (Git), unit/integration testing, code reviews, CI/CD Experience building and consuming REST/gRPC APIs and integrating external tools/services Understanding of core ML concepts: supervised/unsupervised learning,…