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
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.
Top Skills:
Ai AgentsLlmsMySQLPostgresReactRetrieval-Augmented Generation (Rag)Ruby On Rails
Big Data • Healthtech • Software • Biotech
Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.
Top Skills:
SparkAws SqsBullmqClinvarDbsnpDuckdbGenomic AnnotationsGnomadHgvsLarge Language ModelsLlm ApisPostgresQdrantRabbitMQRedisTranscript DatabasesTypescriptVcfVector Databases
Fintech • Real Estate • Software
Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.
Top Skills:
AWSAzureCi/CdContainersError BudgetsGCPGoJavaKafkaKubernetesObservabilityPulumiPythonServerlessService MeshSlosTerraform
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
