MABASA / LINKEDIN
Senior Applied AI Engineer
Storm2
- Location
- New York, NY
- Work type
- fulltime
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
Job description from the source
**Senior Applied AI Engineer** **$220,000 \- $300,000 Base Salary \+ Equity** A high\-growth, venture\-backed software company is hiring a **Senior Applied AI Engineer** to help build the intelligence layer behind its platform. This is an opportunity to work on the cutting edge of **LLMs, AI agents, retrieval systems, recommendation engines, and applied machine learning** , developing products that directly influence customer decisions and business outcomes at scale. You'll join a highly technical engineering team responsible for transforming large volumes of operational and transactional data into intelligent recommendations, automated workflows, and AI\-powered experiences used by thousands of customers. What You'll Be Doing * Design, build, and deploy production AI applications powered by LLMs, agents, and machine learning models * Develop intelligent systems for recommendation, retrieval, ranking, and decision automation * Build document understanding and information extraction workflows using modern AI techniques * Create agentic workflows that automate complex customer and operational processes * Develop evaluation frameworks, observability tooling, and experimentation systems to measure model quality and business impact * Own the full AI lifecycle from research and prototyping through production deployment and continuous optimization * Partner closely with Product, Engineering, and customers to identify high\-impact AI opportunities * Stay current on emerging advancements in AI, machine learning, agent frameworks, and LLM technologies Highlights 🤖 **Production AI \& Agent Development** – Build AI systems that power real customer\-facing workflows and business decisions 🧠 **Work Across the Full AI Stack** – Own everything from model experimentation and evaluation to deployment and monitoring 🔎 **Advanced Retrieval \& Recommendation Systems** – Build ranking, search, personalization, and context\-aware intelligence products 📊 **Own AI Evaluation \& Quality** – Design testing frameworks, observability tooling, and model performance infrastructure 🚀 **High Ownership \& Impact** – Take ideas from concept to production and influence product direction ⚡ **AI\-First Engineering Culture** – Work alongside a highly technical team leveraging modern AI tools and development workflows 📈 **Massive Growth Opportunity** – Join during a period of rapid expansion and help shape the company's long\-term AI strategy What They're Looking For * 5\+ years of experience building and shipping AI, machine learning, or data\-driven products * Strong software engineering skills with Python and/or TypeScript * Experience developing LLM\-powered applications, AI agents, retrieval systems, recommendation engines, or similar AI products * Strong understanding of experimentation, evaluation, monitoring, and production AI systems * Ability to independently solve complex technical challenges and drive projects from idea to launch * Strong communication skills and experience working cross\-functionally * BS, MS, or PhD in Computer Science, Engineering, or a related technical field (or equivalent experience) Nice to Have * Experience building agentic workflows or AI\-powered automation platforms * Experience with RAG, embeddings, vector databases, ranking, or personalization systems * Familiarity with LLM observability, evaluation, or monitoring frameworks * Experience with modern cloud infrastructure and scalable distributed systems * Background in commerce, analytics, forecasting, pricing, or operational intelligence products Compensation \& Benefits * **$220,000 \- $300,000 base salary** * Meaningful equity package * Comprehensive medical, dental, and retirement benefits * High\-impact role with significant ownership * Opportunity to work on cutting\-edge AI products alongside experienced engineers and startup operators
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