Sr. Software Engineer - Applied AI

GEICO GEICO · Insurance · Palo Alto, CA

Senior Software Engineer to lead the development of cutting-edge AI product development, focusing on building products powered by LLMs. The role involves designing, developing, and deploying AI solutions for insurance business transformation, including agentic workflows, automation, document intelligence, and decision support. Responsibilities include owning production systems, leveraging knowledge graphs, collaborating across functions, mentoring, and driving innovation in AI and LLM applications.

What you'd actually do

  1. Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems.
  2. Design and ship applied AI solutions: Architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants.
  3. Build agentic workflows: Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale.
  4. Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability.
  5. Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.

Skills

Required

  • Python
  • LangChain
  • LangGraph
  • LangSmith
  • LlamaIndex
  • Hugging Face
  • OpenAI APIs
  • Anthropic APIs
  • distributed systems
  • service design
  • performance optimization
  • reliability engineering

Nice to have

  • domain-tuned LLMs
  • vector reasoning techniques
  • specialized retrieval architectures
  • insurance
  • financial services
  • Java ecosystem
  • Spring AI
  • LangChain4j
  • Embabel
  • document intelligence
  • fraud detection

What the JD emphasized

  • lead the development of cutting-edge AI product development
  • deep expertise in building products powered by AI models
  • working with large language models (LLMs)
  • designing, developing, and deploying core consumer experiences that leverage AI
  • building the foundational voice, chat, text, email and core contact center experiences
  • harnessing the power of Generative AI
  • build delightful and friction-less product experience for our customers
  • drive transformative change in the industry by harnessing the power of Generative AI
  • architect, build, and deploy AI solutions for high-value workflows
  • Build agentic workflows
  • Own production systems
  • Leverage knowledge graphs
  • Experiment and evaluate rigorously
  • Model best practices
  • 1+ years working with Generative AI or LLM-based systems in production
  • Production AI delivery: Demonstrated experience designing, building, and operating production AI systems, including agentic workflows and intelligent automation features
  • AI & data architectures: Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration

Other signals

  • building foundational voice, chat, text, email and core contact center experiences
  • designing, developing, and deploying core consumer experiences that leverage AI
  • architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants
  • design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
  • own production systems
  • leverage knowledge graphs
  • experiment and evaluate rigorously
  • model best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
  • 1+ years working with Generative AI or LLM-based systems in production
  • production AI delivery: Demonstrated experience designing, building, and operating production AI systems, including agentic workflows and intelligent automation features
  • AI & data architectures: Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration