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Storm2

Senior Applied AI Engineer

san antonio, TX

Check who can apply and the requirements below before continuing.

About this opportunity

Storm2 lists this Senior Applied AI Engineer opportunity in san antonio, Texas. Review the employer’s description below for duties, qualifications and application requirements.

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

Who can apply

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