Staff Engineer - .net

GEICO GEICO · Insurance · Bethesda, MD +1

Staff Engineer role focused on building and scaling AI-powered capabilities, including agentic workflows and knowledge graph integration, to automate workflows and improve decision-making within an insurance business transformation. The role involves leading technical influence, mentoring engineers, and establishing best practices for production AI systems.

What you'd actually do

  1. Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will also mentor engineers who want to learn AI, LLMs, and agent-based development, fostering a culture of learning, curiosity, and innovation.
  2. Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.
  3. Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.
  4. Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments.
  5. Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

Skills

Required

  • Fluency and specialization with at least two modern languages such as Java, Python or C# including object-oriented design
  • 8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.
  • Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.
  • Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features.
  • Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production.
  • Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration.
  • Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts.
  • Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design.
  • A history of delivering measurable business outcomes from AI systems.
  • Strong competency in distributed systems, service design, performance optimization, and reliability engineering.
  • Experience in building products using micro-services oriented architecture and extensible REST APIs
  • Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
  • Knowledge of developer tooling across the software development life cycle(task management, source code, building, deployment, operations, real-time communication)
  • Risk assessment
  • Ability to excel in a fast-paced, startup-like environment
  • 8+ years of professional software development experience with C#, Java or any object-oriented programming language, and building advanced Generative AI capabilities including domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures
  • 4+ years of experience in open-source frameworks
  • 3+ years of experience with architecture and design
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service

Nice to have

  • Python
  • C#
  • object-oriented languages
  • SQL
  • NoSQL databases
  • Container Orchestration services including Docker and Kubernetes
  • Azure tools and services
  • Java

What the JD emphasized

  • 8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.
  • Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs.
  • Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features.
  • Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration.
  • Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design.

Other signals

  • AI-powered capabilities
  • agent-based development
  • knowledge graphs
  • agentic workflows
  • Generative AI or LLM-based systems in production