**The job in short** -------------------- Are you passionate about exploring cutting\-edge advancements in AI and software engineering? Do algorithms excite you, and do you thrive on tackling complex, data\-driven challenges? If you're a true team player who's ready to roll with a crew of experts, we want you on our squad! Join us as an AI Engineer and be part of a dynamic team dedicated to creating innovative AI solutions on the Investment that will transform the banking landscape. Apply now and let's make some magic happen! **Meet the job** ---------------- **Responsibilities:** * Design, develop, and deploy AI driven platform capabilities, part of a state of the art orchestration and automation platform; * Analyze available data for training machine learning models or fine\-tuning LLMs; * Leverage composable frameworks for implementing AI driven capabilities as a single service or as an agentic flow; * Collaborate with other experts and stakeholders to understand functional and non\-functional requirements and translate them into scalable solutions; * Optimize deployed AI capabilities, ensuring optimal performance in high demanding environments; * Share knowledge in the team and across other value streams. **How about You** ----------------- * Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 3\-4 years of engineering experience; * Strong experience in software engineering, designing modular systems, design patterns and coding best practices; * Value\-driven, to craft solutions that bring value to customers; * Proven problem\-solver, fast learner, resiliency; * Proficiency experience in Python 3 (3\.9\+) and experienced using Python web frameworks such as FastAPI / Flask / Django; * Familiarity with AI agents concepts: LLMs, Knowledge bases / Memory, Reasoning, States, Agent Tools,etc; * Strong communication and collaboration skills; * Knowledge in *software architectures* and event driven architectures; * Experience shipping applications to production; * Knowledge in designing SDLC through CI / CD flows, using any tool; * Some experience in coding agents using some of the mainstream AI frameworks; * Practical experience with LLM applications: prompt engineering, multi agent pipelines / workflows, RAG workflows, etc; * Experience working with cloud computing platforms (e.g., AWS, Azure, GCP); * Knowledge with AI context specific components and its particularities: LLMs, Vector databases, MCPs; * Exposure to MLOps/LLMOps workflows: prompt versioning, CI/CD pipelines, trace logging, and automated LLM evaluations; * Experience with monitoring, tracing and logging (observability stacks) tools.