AI Summary
We're looking for a Senior AI Engineer to build real, production-ready features that make a meaningful impact on the book industry. This is a hands-on engineering position where you'll ship features, improve our search and analytics systems, and use AI coding tools to accelerate development. You'll also help share and model AI best practices with the team.
Key Highlights
Build real, production-ready features that make a meaningful impact on the book industry
Ship features, improve search and analytics systems, and use AI coding tools to accelerate development
Help share and model AI best practices with the team
Key Responsibilities
Use AI Tools as an Engineering Multiplier
Make regular use of Claude Code and similar tools for code generation, debugging, documentation, and refactoring
Model healthy, thoughtful AI-assisted development practices
Own AI-enabled solutions end to end
Evaluate AI tools, models, and approaches for fit, tradeoffs, and risk within the scope of the product
Retain responsibility for validating AI-generated outputs and deciding what code, designs, and behaviors are ultimately shipped
Write, test, and maintain high-quality code using C#, JavaScript/TypeScript, Node, React, and SQL
Contribute to APIs, services, and full-stack features that interact with AI components
Participate in code reviews with an eye toward clarity, maintainability, security, and performance
Troubleshoot complex issues related to search, data pipelines, model performance, latency, and scaling
Build AI-Powered Product Features
Design and deliver AI-enabled capabilities across the Edelweiss platform
Build and refine our LLM-driven chatbot using RAG pipelines, embeddings, and vector search
Integrate AI and ML services into existing products in ways that are safe, reliable, and customer-centered
Help design and evolve architectures for prompt handling, retrieval, ranking, caching, and model-related performance tuning within the systems you work on
Collaboration, Leadership, and Team Development
Mentor teammates on AI tooling, prompting, RAG architecture, and safe, ethical AI usage through pairing, reviews, and knowledge sharing
Communicate status, risks, and tradeoffs clearly to technical and non-technical partners
Work cross-functionally with product, QA, and other dev teams to ensure AI features deliver actual value
Contribute to evolving our internal AI standards and longer-term direction, in collaboration with the broader engineering team
Clearly communicate AI tradeoffs, limitations, and risks to teammates and non-technical partners
Technical Skills Required
Benefits & Perks
Full-time, salaried position with commission bonus structure
Remote work environment (Must live in US time zone)
Opportunities for travel to key industry events
Access to passionate, mission-driven team building tools that support the entire book ecosystem
Salary $130,000 - $165,000
Fully remote with flexible work schedule
36-hour work week
Revenue-sharing program after one year
PTO and sick time
401K w/ match
Health, vision, and dental insurance
Short-term and long-term disability insurance
Life AD&D insurance
FSA for health and dependent care
Fitness and home office stipends
EAP
Nice to Have
Python
Elasticsearch/SOLR or other search engines
Vector databases (Redis, Azure Search, Pinecone, pgvector, etc.)
Analytics pipelines or data modeling
Training or fine-tuning small models
Understanding of EDI workflows and systems
Background in publishing or book-related data
Job Description
We're looking for a Senior AI Engineer who's excited to build real, production-ready features that make a meaningful impact on the book industry. In this role, you'll work across our stack (C#, JavaScript/TypeScript, React/Node) while also integrating modern AI capabilities — including LLMs, RAG pipelines, vector search, and AI-driven analytics.
This isn't a research role. It's a hands-on engineering position where you'll ship features, improve our search and analytics systems, help build an LLM-powered chatbot, and use AI coding tools (primarily Claude Code) to accelerate development. You'll also help share and model AI best practices with the team as we adopt new tools and approaches.
If you love turning ideas into usable, reliable software — and you enjoy pairing your own engineering skills with AI tooling — you'll be right at home here.
This is a senior individual contributor role with a strong hands-on focus, offering influence through mentorship and technical leadership rather than formal people management.
What You'll Do
Use AI Tools as an Engineering Multiplier
- Make regular use of Claude Code and similar tools for code generation, debugging, documentation, and refactoring.
- Model healthy, thoughtful AI-assisted development practices — when to trust, when to verify, and how to iterate.
- Share prompts, patterns, and best practices with the team to improve collective output.
- Own AI-enabled solutions end to end — from design and implementation through production behavior, monitoring, and iteration.
- Evaluate AI tools, models, and approaches for fit, tradeoffs, and risk within the scope of the product.
- Retain responsibility for validating AI-generated outputs and deciding what code, designs, and behaviors are ultimately shipped.
- Write, test, and maintain high-quality code using C#, JavaScript/TypeScript, Node, React, and SQL.
- Contribute to APIs, services, and full-stack features that interact with AI components.
- Participate in code reviews with an eye toward clarity, maintainability, security, and performance.
- Troubleshoot complex issues related to search, data pipelines, model performance, latency, and scaling.
- Design and deliver AI-enabled capabilities across the Edelweiss platform, including improved search, analytics, and user workflows.
- Build and refine our LLM-driven chatbot using RAG pipelines, embeddings, and vector search.
- Integrate AI and ML services into existing products in ways that are safe, reliable, and customer-centered.
- Help design and evolve architectures for prompt handling, retrieval, ranking, caching, and model-related performance tuning within the systems you work on.
- Mentor teammates on AI tooling, prompting, RAG architecture, and safe, ethical AI usage through pairing, reviews, and knowledge sharing.
- Communicate status, risks, and tradeoffs clearly to technical and non-technical partners.
- Work cross-functionally with product, QA, and other dev teams to ensure AI features deliver actual value.
- Contribute to evolving our internal AI standards and longer-term direction, in collaboration with the broader engineering team.
- Clearly communicate AI tradeoffs, limitations, and risks to teammates and non-technical partners.
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- AI features that ship and deliver measurable value — faster search, better insights, smoother workflows, empowered users.
- Stronger engineering velocity through thoughtful use of AI coding tools.
- Reliable AI systems with guardrails, good observability, and low hallucination rates.
- A more AI-confident development team, supported by your mentorship, example-setting, and knowledge sharing.
- AI features that deliver measurable customer or business value, not just technical novelty.
Required Skills & Experience
- Solid professional experience in software engineering (5+ years ideal, but flexible for the right person).
- Strong coding ability in:
- C# / .NET
- JavaScript / TypeScript
- React and Node
- Experience integrating LLMs or AI APIs or clear, demonstrated ability to ramp up quickly.
- Understanding of modern AI application patterns:
- Prompt engineering
- RAG concepts (embeddings, chunking, vector search)
- Model limitations, hallucination behaviors, and evaluation approaches
- Familiarity with cloud services (Azure preferred).
- Comfortable using AI code generation tools daily (Claude Code especially).
- Strong problem-solving, communication, and collaboration skills.
- Ability to deliver high-quality work independently while also being a supportive team player.
- Python (useful for experimentation, data tasks, and AI tooling)
- Experience with:
- Elasticsearch/SOLR or other search engines
- Vector databases (Redis, Azure Search, Pinecone, pgvector, etc.)
- Analytics pipelines or data modeling
- Training or fine-tuning small models
- Understanding of EDI workflows and systems
- Background in publishing or book-related data (not required)
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
We operate remotely, collaborate openly, and rely on trust, ownership, and thoughtful communication. We expect everyone to embody our core values:
- Earn Respect
- Promote Equity and Inclusion
- Open Communication
- Build with Heart
- Cultivate Trust
Equal Opportunity
Edelweiss by Above the Treeline is an equal-opportunity employer. We welcome and support applicants from all backgrounds, identities, and experiences. We're committed to creating an equitable and inclusive workplace for everyone.
Benefits
Compensation & Benefits
- Full-time, salaried position with commission bonus structure
- Remote work environment (Must live in US time zone)
- Opportunities for travel to key industry events
- Access to passionate, mission-driven team building tools that support the entire book ecosystem
Benefits
- Fully remote with flexible work schedule
- 36-hour work week
- Revenue-sharing program after one year
- PTO and sick time
- 401K w/ match
- Health, vision, and dental insurance
- Short-term and long-term disability insurance
- Life AD&D insurance
- FSA for health and dependent care
- Fitness and home office stipends
- EAP
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