Applied AI Engineer

Alphatec Spine•Carlsbad, CA

1d•$110,000 - $125,000

About The Position

We are seeking a motivated and innovative Applied AI Engineer to join our team. This role focuses on designing and developing enterprise AI solutions powered by Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG)-based information extraction applications and intelligent workflow automation systems. This is an excellent opportunity for candidates with a strong technical foundation who are passionate about applying AI to solve real-world business problems.

Requirements

Experience with web technologies such as:JavaScript (React, Node.js, or similar frameworks), or Other modern web application frameworks.
Understanding of modern AI systems (including machine learning and large language models), their capabilities, limitations, and practical application in software products.
Familiarity with basic ML concepts (training vs inference, overfitting, generalization)
Familiarity with LLM frameworks and tools (e.g., OpenAI APIs, vector databases, LangChain, LlamaIndex,).
Basic experience with data preprocessing, cleaning, and transformation for AI/ML workflows.
Understanding of APIs, RESTful services, and backend development.
Knowledge of databases (SQL and/or NoSQL).
Ability to gather requirements from users and convert them into working applications.
Strong problem-solving skills and attention to detail.
Strong inter-person skills and communication skills

Nice To Haves

Experience building RAG pipelines and working with vector databases.
Experience in creating agentic AI applications
Familiarity with cloud platforms (AWS, Azure, or GCP).
Understanding of prompt engineering and model evaluation techniques.
Experience with enterprise software integration.
Exposure to DevOps practices and deployment pipelines.

Responsibilities

Design, develop, and deploy LLM-based AI applications.
Build and optimize RAG-based information extraction and agentic AI applications.
Develop backend services and APIs to support AI-driven applications.
Implement web-based interfaces for AI applications.
Work closely with stakeholders to gather user requirements and translate business needs into technical solutions.
Fine-tune prompts, optimize LLM workflows, and evaluate model performance.
Integrate AI solutions with enterprise systems and databases.
Collaborate with cross-functional teams including product, engineering, and business users.
Document system architecture, workflows, and technical decisions.
Other duties as assigned.