AI Engineer — LLMs & Autonomous Agents

Applied Medical; Rancho Santa Margarita (CA); On-site; USD 80,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation ($80k-$140k)

Comprehensive benefits package

Training and mentorship opportunities

On-campus wellness activities

Education reimbursement

401(k) program with discretionary boss

Generous vacation accrual and paid;hol

Job summary

Applied Medical seeks an AI Engineer to design and deploy AI-powered applications leveraging LLMs for reasoning, planning, and autonomous task execution. You will build agentic systems that interact with APIs and tools, and implement MCP-based architectures for persistent context management.

Collaborate with data science, product, and engineering teams while upholding responsible AI practices and data privacy.

Qualifications

• 2+ years building and deploying AI applications with LLMs.
• Strong Python skills with Git, FastAPI/Flask, and ML frameworks.
• Hands-on experience with agent frameworks and orchestration strategies.
• Proficiency in vector databases and embedding techniques.
• Familiarity with cloud/on-prem deployment and containerization.
• Experience implementing Model Context Protocols and multi-agent systems.
• Knowledge of production-grade AI monitoring, logging, and observability.

Responsibilities

• LLM Application Development: Design, fine-tune, and deploy LLM-based applications for reasoning, planning, retrieval, and automation.
• Agent Systems: Build autonomous AI agents that interact with APIs, databases, and tools using frameworks like LangChain, LangGraph, AutoGen, or custom solutions.
• Context & Memory Management: Implement MCP for persistent context, robust coordination between agents, and seamless tool usage.
• Data & RAG Pipelines: Develop RAG pipelines, vector databases, and prompt-engineering strategies to enable context-aware responses.
• Backend & Infrastructure: Build scalable backend systems and deploy solutions on cloud or on-prem environments (Azure, AWS), with containerization (Docker, Kubernetes).
• Research & Innovation: Stay up-to-date with emerging LLM and agentic technologies and evaluate them for practical applications.
• Collaboration & Governance: Work closely with data science, product, and engineering teams while ensuring responsible AI practices, model safety, and compliance with data privacy regulations.

Skills

LLM Application Development

Agent Systems

Context & Memory Management

Data & RAG Pipelines

Backend & Infrastructure

Research & Innovation

Collaboration & Governance

Python

API Integration

Education

Bachelor’s or Master’s in Computer Science, AI/ML, or related field

Tools

LangChain

LangGraph

AutoGen

CrewAI

Docker

Kubernetes

PyTorch

TensorFlow

Pinecone

Milvus

ChromaDB

FAISS

Job description

Applied Medical seeks an AI Engineer to design and deploy AI-powered applications leveraging LLMs for reasoning, planning, and autonomous task execution. You will build agentic systems that interact with APIs and tools, and implement MCP-based architectures for persistent context management.

Collaborate with data science, product, and engineering teams while upholding responsible AI practices and data privacy.