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
Blockchain • Information Technology • Web3
Design, build, and deploy AI tooling, onboarding systems, and internal applications using LLMs and agents; integrate third-party AI tools; ensure scalable deployment, observability, and cross-functional adoption to improve productivity.
Top Skills:
Agent PlatformsAi AgentsBlockchainClaude CodeCodexCursorLangchainLlamaindexLlm Orchestration FrameworksObservabilityTelemetry
Software • Consulting
Lead design and delivery of production-grade AI features and platforms. Build backend LLM orchestration, RAG pipelines, evaluation systems, and front-end experiences. Architect scalable, cost-efficient AI workflows, define best practices, mentor engineers, and collaborate with Product and Design to prioritize MVPs and technical trade-offs.
Top Skills:
Ai EvaluationAWSC#Ci/CdGoJavaLlmsNode.jsObservabilityPostgresPrompt EngineeringPythonReactRetrieval-Augmented Generation (Rag)Typescript
Logistics • Productivity • Software • Automation
The Operations AI Engineer will design and deploy multi-step AI workflows, integrate with business systems, and ensure reliability and security in production environments while collaborating closely with various teams.
Top Skills:
Llm ApiNext.JsOktaPythonReactSalesforceSnowflakeWorkato
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
