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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing generative AI and conversational AI solutions, with a strong focus on integrating AI components into enterprise systems. Proficient in modern engineering practices, including automation of development processes and adherence to security and quality standards.
Highest-signal resume keywords
Expert-Level Skills In JavaExpert-Level Skills In PythonGenerative AI Application DevelopmentProficiency In TensorFlowExperience With Docker And Kubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaPythonNode.jsGenerative AIConversational AITensorFlowPyTorchMachine LearningDeep LearningAPIs
Soft Skills
Self-DrivenAdaptableCollaborative
Tools & Technologies
DockerJenkinsKubernetesRedisOAuth 2.0
Industry Keywords
Payments TechnologyAI LifecycleMLOpsCI/CD PipelinesEnterprise Security
Tech Stack
Tools & technologiesAngularCyber SecurityDockerJavaJavaScriptJenkinsKubernetesNode.jsPythonPyTorchReactRedisScikit-LearnTensorflowC++
About the role
Key responsibilities & impact- Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns
- Explore new technologies and translate relevant ideas into secure, scalable business solutions
- Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement
- Address robustness, quality, security, and operational reliability throughout the AI lifecycle
- Collaborate with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams
- Expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies; share learning with peers
- Develop client-focused solutions for Payment Product platforms and use client feedback to refine offerings
- Design and develop APIs integrating Payment Product applications, platforms, AI services, and solutions
- Advance the technology modernization roadmap
- Improve technology stacks, development processes, and methodologies
- Automate software development, testing, deployment, and maintenance processes
- Apply rigorous engineering review and verification to AI-generated outputs
- Follow best practices for quality, security, performance, scalability, availability, resilience, and technical debt reduction
- Support incident, change, and problem management; participate in root-cause analysis and troubleshooting
Requirements
What you’ll need- 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
- Expert-level skills in Java, Python, and Node.js
- Experience with C++ or C# is a plus
- Experience building Generative AI applications, conversational AI solutions, and retrieval-augmented generation (RAG) architectures
- 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree is preferred
- Self-driven, adaptable, and willing to work across technologies and programming languages
- Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models
- Proficiency implementing and fine-tuning AI and machine learning models using TensorFlow, PyTorch, or scikit-learn
- Understanding of machine learning and deep learning fundamentals
- Ability to design, implement, and integrate AI components into larger enterprise systems
- Familiarity with robustness, reliability, security, and responsible-use considerations in AI systems
- Experience with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation
- Exposure to machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns
- Proficiency in React, Angular, and Node.js
- Experience configuring Docker, Jenkins, and Kubernetes
- Expertise in multithreading, concurrency, and error handling
- Proficiency in troubleshooting, root-cause analysis, application design, and enterprise-scale components
- Knowledge of version control, CI/CD pipelines, and application and ML model deployment
- Working knowledge of Redis
- Understanding of enterprise security and certificate management
- Experience with Jenkins and container deployment architecture
- Experience with OAuth 2.0, SSO, and authentication methods or protocols
- Expertise in application security, SSDLC, and cryptography fundamentals
- Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations
- Experience in the payments technology industry is a plus
- Travel 5-10% of the time
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness Program
- Potential bonus
- Potential equity
- Sales incentive payments (if applicable)