This role requires an experienced GenAI engineer with a passion for working on LLMbased applications. The team is tasked with building key GenAI applications and scalable pipelines. The successful candidate should have a proven track record of developing multiple GenAI applications and be adept at managing the entire spectrum of GenAI application development while leading multiple workstreams.
Key responsibilities include:
- Leading and delivering specific project deliverables as a Senior GenAI Engineer
- Providing guidance to the engineering team on building new LLM applications and leveraging existing GenAI applications
- Improving the productivity of the engineering organization by infusing GenAI into our coding standards and practices.
- Acting as the GenAI projects design authority
- Shaping best practices and methodologies within the team
This role involves 70% GenAI and 30% Core Payments application development. The successful candidate should be open to working on payments application development to understand the current processes and suggest enhancements to improve productivity using LLM models. This position offers an excellent opportunity for a candidate with strong AI engineering credentials to increase their knowledge and experience in the payments industry.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
- Bachelors Degree in Computer Science Electronics/ Electrical Engineering or a related technical discipline is required
- Strong knowledge of AI and data technologies with expertise in Python
- Experience in developing GENAIbased applications utilizing RAG (RetrievalAugmented Generation) techniques with a strong preference for experience in developing GENAIbased applications aimed at improving developer productivity.
- Experience in using machine learning technologies such as TensorFlow PyTorch and Scikitlearn is a plus.
- Demonstrated experience in developing scalable AI pipelines and integrating models into realtime systems.
- Proven track record of managing and executing multiple highimpact LLM based projects balancing delivery speed with quality.
- Able to showcase the productivity improvement by collecting relevant metrics.
- Selfdriven and act as a leader in the GenAI space within the department.
- Act as a mentor to the rest of the developers to leverage existing and new GenAI toolsets.
- Ability to communicate complex AI concepts to both technical and nontechnical stakeholders.
- Spearhead development embedding automation and operation of scalable AI applications.
- Ensure technical quality and reliability of AI solutions through rigorous testing validation and implementing frameworks for scalable data ingestion.
- Optimize AI application performance and efficiency.
- Collaborate across teams to drive AI innovation while expanding your expertise within an experienced inclusive and international team.
- Extensive relevant mid level work experience
- Proficient in Python software development and application of AI models.
- Highly skilled in realizing the full potential of LLMbased AI frameworks.
- Electronic payment systems experience is preferred
- Hands on experience on Golang is preferred
- Ability to take ownership of open ended and highly complex problems and drive them to completion
- Ability to work effectively on multiple concurrent assignments with both AI and nonAI applications projects
- Excellent communication skills with examples of influencing listening actively and negotiating within a team environment to effectively advocate for Software Engineering best practice within the department and communicate design decisions effectively
- Positive attitude friendly to others encouraging of cooperation honesty and respectfulness in the workplace
- Collaborative mindset with an ability to empathise with colleagues and establish relationships
- Flexibility selfmotivated high work standards attention to detail ability to perform as a leader of a team
- Willingness and desire to learn new skills and take on new tasks and initiatives.
- Proven ability to multitask independently in a fastpaced environment and handle multiple competing priorities with minimal direction from management.
- Should be process oriented and possess good planning and organizational skills
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime