Full-Stack Engineer, (AI) Location: NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours, and also Tel Aviv Remote | Full-time Compensation: $160K - $200K Our client is a pioneer in automated, on-chain economic security systems, providing high-fidelity custom EVM simulations to protect and optimize decentralized finance (DeFi) protocols. Trusted by the industry’s leading platforms to secure and manage billions of dollars in assets, our client enables crypto protocols to refine risk management and capital efficiency through actionable, data-driven insights. The organization is seeking a proactive and results-driven Full-Stack Engineer to join their AI division. Reporting directly to the Head of Product & AI, this individual will play a critical role in collaborating with the CEO and the AI team to develop a sophisticated financial AI agent. The ideal candidate thrives in high-velocity, self-directed environments and possesses the technical breadth to manage everything from scalable backend services to high-performance, user-facing interfaces. Key Responsibilities - System Design: Architect and build robust full-stack systems to power a proprietary AI financial agent. - API & Backend Development: Develop scalable APIs and backend services designed to support complex agent workflows. - Interface Engineering: Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction. - AI Integration: Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks. - Data Management: Connect and manage complex data pipelines sourced from various financial providers. - Operational Excellence: Implement rigorous testing, monitoring, and performance best practices to ensure system reliability. - Innovation: Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge. Interview Process - Initial Screening: 30-minute call with Recruiter / HR. - Hiring Manager Interview: 30-minute discussion with the Head of Product & AI. - Technical Evaluation I: 1-hour session focused on LeetCode-style challenges (AI tool usage permitted). - Technical Evaluation II: 1-hour session focused on syntax and programming fundamentals (AI tool usage permitted). - Executive Interview: 30-minute final discussion with the Founder / CEO.

Full-Stack Engineer, (AI) Location: NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours, and also Tel Aviv Remote | Full-time Compensation: $160K - $200K Our client is a pioneer in automated, on-chain economic security systems, providing high-fidelity custom EVM simulations to protect and optimize decentralized finance (DeFi) protocols. Trusted by the industry’s leading platforms to secure and manage billions of dollars in assets, our client enables crypto protocols to refine risk management and capital efficiency through actionable, data-driven insights. The organization is seeking a proactive and results-driven Full-Stack Engineer to join their AI division. Reporting directly to the Head of Product & AI, this individual will play a critical role in collaborating with the CEO and the AI team to develop a sophisticated financial AI agent. The ideal candidate thrives in high-velocity, self-directed environments and possesses the technical breadth to manage everything from scalable backend services to high-performance, user-facing interfaces. Key Responsibilities - System Design: Architect and build robust full-stack systems to power a proprietary AI financial agent. - API & Backend Development: Develop scalable APIs and backend services designed to support complex agent workflows. - Interface Engineering: Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction. - AI Integration: Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks. - Data Management: Connect and manage complex data pipelines sourced from various financial providers. - Operational Excellence: Implement rigorous testing, monitoring, and performance best practices to ensure system reliability. - Innovation: Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge. Interview Process - Initial Screening: 30-minute call with Recruiter / HR. - Hiring Manager Interview: 30-minute discussion with the Head of Product & AI. - Technical Evaluation I: 1-hour session focused on LeetCode-style challenges (AI tool usage permitted). - Technical Evaluation II: 1-hour session focused on syntax and programming fundamentals (AI tool usage permitted). - Executive Interview: 30-minute final discussion with the Founder / CEO.

• Design and build AI systems that can reason, retrieve information, and take action across enterprise tools and data sources • Translate business use cases into structured workflows, defining task decomposition, tool usage, and input/output schemas • Evaluate and prioritize AI use cases based on feasibility, data readiness, and business impact • Define MVP scope and sequence development of AI systems based on prioritized use cases • Develop and optimize LLM-powered systems, including prompt architectures, structured outputs, and multi-step reasoning workflows • Build and scale retrieval pipelines (RAG) across structured and unstructured data (chunking, embeddings, ranking, hybrid search) • Define how AI systems and workflows are orchestrated and structured, enabling reusable and composable capabilities as the platform evolves • Build reusable AI services and APIs that power internal applications and automation • Turn early prototypes into reliable, production-grade systems used by internal teams • Evaluate and improve system performance across accuracy, latency, cost, and reliability in production environments

Title: Senior AI Product Engineer | Growth and Transformation Location: Charlotte United States Job Description: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. We're hiring a Senior Engineer who builds with AI by default. Someone for whom agentic tools are the IDE, not the side project. You'll own the technical direction of our personalization and data platform, built on Go microservices, TypeScript applications, and Python-based AI agents. Your job is to ship product features, make the platform smarter and faster, and raise the bar for how the team builds software. You're a senior IC with tech-lead scope: you own technical direction for your domain, influence architecture decisions across the team, and lead by building, not by org chart. What You'll Do Ship Product & Platform Features - Architect and evolve the personalization and data platform powering our consumer experiences - Design high-performance backend services in Go and full-stack features in React + TypeScript, built for scalability, observability, and maintainability - Build RAG pipelines, semantic search, and LLM-powered product features, including embedding models, vector stores, reranking, and eval-driven quality loops - Drive CI/CD and infrastructure maturity via GitHub Actions, Terraform, and AWS</li> Build AI Into the Platform - Design and ship multi-agent systems using LangGraph, AutoGen, or custom orchestration that operate across the development lifecycle - Break down our multi-language codebase into AI-addressable, agent-ready modules: clean interfaces, well-scoped context, documented patterns - Own the agentic development scaffolding: tool integrations, MCP servers, and shared infrastructure that make every engineer on the team more effective Multiply the Team's Output - Use agentic coding tools (Claude Code, Codex, Cursor, or whatever's next) as co-engineers, not autocomplete, and help the team do the same - Build shared configurations, custom tool integrations, and workflow hooks that encode team conventions and eliminate repeated decisions - Spot opportunities to automate engineering toil (test generation, PR summarization, migration scripts, dependency upgrades, documentation) and build the tooling to make it happen - Track and share measurable productivity gains with engineering leadership Raise the Engineering Bar - Run pairing sessions, internal demos, and workshops that build real AI capability across the team - Define practical AI engineering standards: prompt engineering practices, context window management, human-in-the-loop thresholds, and eval frameworks - Mentor mid-level and junior engineers on how to build effectively with AI as a core skill - Partner with Engineering Leadership to shape the AI adoption roadmap across the portfolio What You Bring Must-Have - An established AI-native development practice: agentic tools are part of your daily workflow, with results to show for it. Faster delivery, fewer manual steps, higher output - 6+ years of software engineering experience with a track record of technical leadership on complex systems - Expert in TypeScript (frontend and backend) and production-grade Go for high-performance services - Strong React and modern frontend architecture experience - Hands-on experience with LLM APIs (Anthropic Claude preferred): prompt engineering, tool use, structured outputs, streaming, context management - Solid understanding of RAG architecture: vector stores, chunking strategies, embedding models, reranking, eval loops - Experience with CI/CD, Terraform, and AWS in a production engineering context Nice-to-Have - Experience building and shipping agentic systems in production: multi-step tool-calling agents, orchestration pipelines (LangGraph, LangChain, AutoGen, CrewAI, or custom) - Familiarity with agentic coding CLI tools and workflow automation that encodes team patterns at the repo level - Knowledge of MCP (Model Context Protocol) and experience building or integrating MCP servers - Experience with code intelligence: AST parsing, static analysis, code graph construction - Background in developer platform or internal tooling engineering - Experience with eval frameworks: RAGAS, LangSmith, Braintrust, or custom evaluation infrastructure - Familiarity with event-driven architectures, message queuing (Kafka, SQS), and distributed systems patterns - Experience with data platforms, ETL pipelines, or personalization systems at scale - Active contributions to open source or technical community leadership Mindset - You treat repetitive engineering work as a problem to solve, not a cost of doing business - Your first instinct when facing toil is: can an agent handle this? - You stay current on model releases, agent design patterns, and emerging frameworks because you're genuinely interested, not because someone assigned it - You balance velocity with rigor: you ship fast, think in systems, and don't create hidden debt Show Us Your Work We care about what you've built. In your application, please share GitHub repos, demos, writeups, or anything that shows your approach to AI-native development. Side projects, open-source contributions, and technical blog posts all count. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. - Total Cash Compensation Range: $100,000 - $180,000 per year Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. - Health Insurance Coverage (medical, dental, and vision) - Life Insurance - Short and Long-Term Disability Insurance - Flexible Spending Accounts - Holiday Pay - 401(k) with match - Employee Assistance Program - Paid Parental Bonding Benefit Program - Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That's why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies - spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. If you are based in California, we encourage you to read this important information for California residents linked here. #LI-HYBRID