Applied AI Engineer – Experience Innovation
Remote in United States
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Ledger Investing
Ledger Investing is building an open insurance system that connects risk to capital. Institutional investors can invest in ILS while underwriters and insurers can get direct access to capital for reinsurance needs.About Ledger Investing
Ledger is a Y Combinator-backed Insurtech startup transforming how insurance risk is financed. Ledger is building a marketplace that enables re/insurers to transfer risk to capital markets investors – we have originated over $2 billion of premium volume to institutional investors. Insurance securitization is on the path to becoming a $100 billion market but has been limited by opacity and complexity. Ledger is expanding this market by building a seamless data platform that powers the marketplace, as well as reports and analytics that insurers and investors need to transact. Our $75 million Series B investment funding has successfully set us up for long-term growth.
About the Team:
- The engineering platform team is a remote-first team building the web platforms, data infrastructure, and developer APIs that shape how people understand and handle billions of dollars of insurance risk
- Engineers at Ledger have the opportunity to touch every part of the tech stack
- We collaborate frequently with product thinkers, designers, sales, and domain experts to carefully craft valuable customer experiences
- We believe in collaboration, communicating often, and treating others with kindness and respect
- We believe everyone should have significant ownership and measurable impact
- We believe in continuously improvement and constantly evaluate what works and what doesn’t
- We believe in using modern tooling and technology to deliver the best developer experience possible
About the Role:
Join us in shaping the future of AI-driven experiences! We're looking for an Applied AI Engineer to push the boundaries of how users interact with technology. You'll have the opportunity to apply cutting-edge AI to create intuitive and innovative products that solve real-world problems. The ideal candidate is a proactive problem-solver with a passion for AI and a knack for turning complex ideas into elegant user experiences. You're excited to work in a fast-paced environment, embrace new challenges, and collaborate with a team of like-minded innovators to redefine how people interact with technology.
On the engineering team, you will
- Design, develop, and optimize AI-powered experiences, with a focus on conversational AI systems that deliver value through natural language interfaces
- Create prototypes that demonstrate innovative applications of AI technologies
- Collaborate with product, design, and business teams to identify opportunities where AI can enhance user experiences
- Implement and refine agentic workflows using frameworks to create autonomous AI agents
- Build chat-based user interfaces using modern web technologies
- Optimize AI solutions for performance, cost, and user experience
Technical Implementation Focus:
- Text analysis and language generation systems
- Image analysis pipelines for text and table extraction
- Systems that translate natural language into structured representations, such as mathematical formulas
- Chat-based user interfaces and components using React and Tailwind
- AI model evaluation, optimization, and deployment
Qualifications:
- 5+ years of experience in backend or full-stack software development
- Experience deploying AI solutions in production, with familiarity across cloud platforms (Vercel, Railway, Modal, AWS, GCP, Azure)
- Built user interfaces with React and Tailwind CSS
- Deep understanding of LLMs (OpenAI, Gemini, Claude, Mistral) and ability to evaluate, optimize, and select the right model for a given task
- Experience with RAG systems (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate, Qdrant) for semantic search
- Knowledge of agentic workflow frameworks (e.g., MCP, A2A, AutoGen, CrewAI, PydanticAI, LangGraph)
- Proficient with model evaluation techniques, MLOps practices, and AI-assisted dev tools (Cursor, Claude Code, Zed, Devin)
- Experience using text-to-app platforms (v0, Replit, Figma Make) for rapid prototyping
- Background in image analysis, especially text and table extraction
- Contributions to open-source AI projects
- Strong problem-solving and communication skills
Benefits:
- Competitive salary, bonus potential, and equity compensation
- Work from anywhere. We’re flexible. Our headquarters is in New York, but this position can be fully remote or hybrid.
- Uncapped paid time off
- Paid Holidays
- 401k
- Medical, dental, and vision insurance - multiple plans to choose from
- Company paid Life and AD&D insurance
- ClassPass - We contribute to your monthly membership offering a large range of providers & services in Fitness and Wellness. Get a massage on us!
- Up to $2,500 paid by Ledger towards your dream desk setup! Customize what works for you.
For US based positions:
Ledger Investing is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Claude Conversational AI Engineering GCP Gemini LangChain LLMs MLOps OpenAI Open Source Pinecone Pipelines Prototyping RAG React Weaviate
Perks/benefits: Competitive pay Equity / stock options Flex vacation Health care Insurance Salary bonus Startup environment
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