Software Engineer - AI Engineer II/III

Position Overview

Applied Medical is a new generation medical device company with a proven business model and commitment to innovation fueled by rapid business growth and expansion. With over 35 years of experience developing advanced surgical technologies, our dedication to quality innovation allows team members to play expansive roles. We are seeking a highly skilled AI Engineer with expertise in Large Language Models (LLMs), AI agent frameworks, and Model Context Protocols (MCP). In this role, you will design, develop, and deploy AI-powered solutions that leverage LLMs for reasoning, planning, and autonomous decision-making, build agentic systems capable of multi-step tasks, integrate with external APIs and tools, and orchestrate complex workflows. Collaboration is key as the role requires on-site engagement with cross-functional teams to drive innovation and growth.

Key Responsibilities

• Design, fine-tune, and deploy LLM-based applications for various use cases (retrieval, reasoning, planning, automation).
• Develop AI agents that integrate with external tools, APIs, and databases using frameworks like LangChain, LangGraph, AutoGen or custom solutions.
• Implement and optimize RAG pipelines, vector databases, and prompt-engineering strategies for context-aware responses.
• Build scalable backend systems to support LLM-based solutions in production environments.
• Leverage and implement Model Context Protocols to enable seamless context sharing and coordination between LLMs, agent frameworks, and external resources.
• Research and evaluate emerging LLM and agentic technologies to drive innovation.
• Collaborate with cross-functional teams (data science, product, engineering) to align AI solutions with business goals.
• Ensure responsible AI practices, model safety, and compliance with data privacy regulations.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (Ph.D. a plus).
• 2+ years of experience building and deploying AI applications using LLMs (OpenAI, Anthropic, Hugging Face, etc.).
• Strong experience with Python, Git, FastAPI/Flask, and common ML frameworks (PyTorch, TensorFlow).
• Hands-on experience with agent frameworks (AutoGen, LangGraph, CrewAI, etc.) and orchestration strategies.
• Proficiency in vector databases (Pinecone, ChromaDB, FAISS) and embedding techniques.
• Solid understanding of prompt engineering, RAG, and LLM optimization.
• Familiarity with on-prem deployment and cloud environments (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Experience implementing Model Context Protocols for enhanced context management and interoperability across agentic systems.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Benefits & Perks

• Compensation: $80000 - $140000 / year (California)
• Benefits: Comprehensive benefits package
• Training and mentorship opportunities
• On-campus wellness activities
• Education reimbursement program
• 401(k) program with discretionary employer match
• Generous vacation accrual and paid holiday schedule