The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.
Remote, Full Time, Individual Contributor, +4 years of experience
Who We Are
At Yuno, we are building the payment infrastructure that enables all companies to participate in the global market. Founded by a team of seasoned experts in the payments and IT industries, Yuno provides a high-performance payment orchestrator. Our technology offers companies access to leading payment capabilities, allowing them to engage customers confidently and maintain global business operations with seamless payment integrations worldwide.
Shape your future with Yuno!
We are orchestrating the best high-performing team!
We are looking for a Senior AI Engineer with extensive experience building products powered by Large Language Models (LLMs) and deep expertise in prompt engineering. In this role, you will spearhead the development of innovative AI-driven solutions tailored to our end users, enabling Yuno to redefine the payment landscape.
As a key member of our AI Product Team, you will design, implement, and optimize AI-powered systems that enhance user experiences and solve complex challenges in payment orchestration. If you’re passionate about creating cutting-edge AI applications and thrive in a dynamic, fast-paced environment, we’d love to hear from you.
🟣 Your challenge at Yuno
• AI Product Development
- Build and deploy scalable AI products leveraging LLMs to support Yuno’s payment orchestration platform.
- Develop and optimize prompts to ensure high-quality outputs from LLMs for specific use cases, such as customer service, fraud prevention, and payment assistance.
• Prompt Engineering
- Design, test, and iterate prompts to achieve optimal performance for AI models.
- Analyze and refine outputs based on feedback loops and user interaction data.
• Integration with Payment Systems
- Collaborate with cross-functional teams to integrate AI features into existing payment systems and workflows.
- Ensure seamless interaction between AI solutions and Yuno’s core services.
• AI Research and Innovation
- Stay updated on advancements in LLMs, prompt engineering, and related AI fields.
- Experiment with emerging technologies to identify opportunities for Yuno’s product innovation.
• Data Utilization
- Leverage payment and user interaction data to fine-tune AI models and improve product performance.
- Ensure adherence to data privacy regulations and best practices in AI ethics.
🟣 Skills you need
Minimum Qualifications
• Extensive Experience with LLMs: Proven track record of building and deploying products using models like GPT or similar.
• Extensive Experience with LLMs: Proven track record of building and deploying products using models like GPT or similar.
• Prompt Engineering Expertise: Ability to design, test, and optimize prompts for specific outcomes and use cases.
• Programming Proficiency: Strong experience with Python and frameworks like TensorFlow, PyTorch, or similar.
• API Integration: Expertise in integrating AI solutions with RESTful APIs and third-party platforms.
• Vector Database Knowledge: Hands-on experience with vector databases such as Pinecone, Weaviate, or FAISS for semantic search and embedding retrieval.
• Speech-to-Text and Text-to-Speech Technologies: Familiarity with tools like Whisper, AWS Polly, or Google Speech-to-Text for voice-based solutions.
• Scalability: Experience developing and deploying scalable AI systems in cloud environments (e.g., AWS, GCP, Azure).
• Problem-Solving Skills: Ability to conceptualize and implement AI-driven solutions for complex business challenges.
• Fluent English.
Preferred Qualifications
• Familiarity with NLP libraries like Hugging Face or OpenAI APIs.
• Strong analytical and data visualization skills.
🟣 What we offer at Yuno
• Competitive Compensation
• Remote work - You can work from everywhere!
• Home Office Bonus - We offer a one time allowance to help you create your ideal home office.
• Work equipment
• Stock options
• Health Plan wherever you are
• Flexible Days off
• Language, Professional and Personal growth courses
Similar Jobs
Marketing Tech • Real Estate • Software • PropTech • SEO
As a Staff Applied AI Engineer, you will lead technical initiatives on the Auggie platform, focusing on multi-agent orchestration, autonomous workflows, and integration with various systems while leveraging AI in software development.
Top Skills:
Anthropic ClaudeAWSKubernetesLanggraphMcpNode.jsPostgresPythonRedisSqsTemporalTypescript
Artificial Intelligence • HR Tech • Information Technology • Social Impact
The Full Stack AI Engineer will design, build, and ship AI-powered products, integrate AI/ML capabilities, and collaborate across teams to improve real estate asset management.
Top Skills:
AWSAzureGCPGoNext.JsNode.jsPythonReactTypescript
HR Tech • Information Technology • Marketing Tech • Professional Services
As a GTM Engineer / AI Engineer, you'll architect and scale systems for growth, develop AI workflows, and unify tools like Salesforce and HubSpot to enhance the customer lifecycle.
Top Skills:
Ai ToolsAirtableAPIsAutomation ToolsHubspotMakeSalesforceZapier
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
