Senior AI Engineer — Scalable LLM Systems & Mentorship

GEICO; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive Pay

Benefits

Flexibility

Personalized Development Programs

Mentorship

Certification Assistance

Job summary

GEICO is seeking a senior/lead software engineer to drive AI-powered product development and agentic workflows, automating business processes and improving customer experiences. The role requires crafting scalable production systems and mentoring peers in AI and LLM implementations.

You will collaborate across teams to implement Generative AI, LLMs, and distributed architectures, ensuring robust, maintainable solutions. Strong Python expertise and modern AI frameworks are essential.

Qualifications

• Requires 4+ years of software engineering experience with at least one year of production experience with Generative AI or LLMs.
• Must be proficient in Python and modern AI frameworks with a strong background in distributed systems and scalable architecture.

Responsibilities

• Lead the development of AI-powered products and agentic workflows to automate business processes and enhance customer experiences.
• Design, deploy, and operate scalable production systems while mentoring other engineers in AI and LLM implementation.

Skills

Python

Generative AI

Large Language Models

LangChain

LangGraph

LlamaIndex

Hugging Face

OpenAI API

Anthropic API

Retrieval-Augmented Generation

Vector Databases

Knowledge Graphs

Distributed Systems

Agentic Workflows

System Design

Software Engineering

Tools

LangChain

LangGraph

LlamaIndex

Hugging Face

OpenAI API

Anthropic API

Job description

GEICO is seeking a senior/lead software engineer to drive AI-powered product development and agentic workflows, automating business processes and improving customer experiences. The role requires crafting scalable production systems and mentoring peers in AI and LLM implementations.

You will collaborate across teams to implement Generative AI, LLMs, and distributed architectures, ensuring robust, maintainable solutions. Strong Python expertise and modern AI frameworks are essential.