Applied AI Engineer

Storm2

New York (NY)

On-site

USD 220,000 - 300,000

Full time

2 days ago
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Benefits offered by this job

Competitive base salary
Meaningful equity package
Medical, dental, retirement benefits
High ownership and impact
Opportunities to work on cutting-edge

Job summary

Storm2 is seeking a Senior Applied AI Engineer to build the intelligence layer behind its platform. You will design and deploy production AI applications powered by LLMs, agents, and machine learning models, shaping customer decisions at scale.

Join a highly technical team focused on retrieval systems, ranking, and end-to-end AI workflows, with equity, comprehensive benefits, and a high-ownership environment.

Qualifications

  • 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, 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 cross-functional collaboration
  • BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience)

Responsibilities

  • Design, build, and deploy production AI applications powered by LLMs, agents, and ML 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 impact
  • Own the full AI lifecycle from research to production deployment and optimization
  • Partner with Product, Engineering, and customers to identify high-impact AI opportunities
  • Stay current on advancements in AI, ML, agents, and LLM tech

Skills

Python
TypeScript
LLMs
AI Agents
Retrieval Systems
Recommendation Engines
Experimentation

Education

BS/MS/PhD in CS/Engineering

Tools

Vector Databases
LLM Observability
Cloud Infrastructure

Job description

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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