Descripción de la oferta
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!
What you'll doDesign, develop, and deploy AI driven platform capabilities, part of a state of the art orchestration and automation platform;
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.
Who you areBachelor'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.#J-18808-Ljbffr
