AI Engineer

Where Innovation Meets Excellence! We're transforming the banking industry with cutting-edge technology and unparalleled customer experiences. Be part of a dynamic team that's redefining the future of digital banking. Together, we'll create groundbreaking solutions and achieve incredible success. Your journey to making a real impact starts here!"

Backbase created the Backbase Engagement Banking Platform – a unified platform with the customer at the center, helping banks orchestrate seamless journeys across every stage of the customer lifecycle.

From customer onboarding, to customer servicing, customer loyalty and loan origination, we help financial institutions surpass customers’ expectations in every phase of the customer lifecycle.

Built from the ground up with the customer at the heart, our Engagement Banking Platform easily plugs into existing core banking systems and comes pre-integrated with the latest fintechs so financial institutions can innovate at scale.

Industry analysts Forrester, Gartner, Celent, Omdia and IDC continuously recognize Backbase’s category leadership position.

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 that will transform the banking landscape. Apply now and let’s make some magic happen!

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.

• Bachelor's degree or equivalent in Computer Science, Engineering, ●Mathematics or related field, with 3+ years of engineering experience;
• Proficiency in programming in Python and/or Java;
• Experience working with event driven architecture;
• Solid understanding of latest AI/Machine Learning technologies, and frameworks;
• 2+ years of work experience in designing, training and evaluating (transformer based) models;
• 1+ year of work experience with implementing Generative AI applications leveraging composable frameworks (e.g. LangChain/LangGraph, LlamaIndex, DSPy) and API-based LLMs;
• Proven experience with agent orchestration frameworks like LangGraph, Haystack, AutoGen, CrewAI, LlamaIndex workflows;
• Proven work experience with fine-tuning LLMs;
• Experience working in multiple multi-functional teams (engineering, data science, ops, product management);
• Experience working with cloud computing platforms (e.g., AWS, Azure, GCP);
• Proven problem-solver and fast learner;
• Passion for solving complex problems with AI/ML technologies;
• Value-oriented - you want to create solutions that bring value to our customers;
• Strong communication and collaboration skills.