[Remote] Sr. Software Engineer - Applied AI
Note: The job is a remote job and is open to candidates in USA. GEICO is seeking an experienced Sr. Software Engineer to join their Unified Communications Service Engineering group and lead the development of cutting-edge AI product development. This role focuses on designing, developing, and deploying core consumer experiences that leverage AI to drive business transformation.
Responsibilities
- Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems
- 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
- 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
- Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability
- Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
- Partner across functions: Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into robust technical designs
- Mentor and upskill others: Coach engineers and scientists in AI, LLMs, and agentic workflow design through pairing, reviews, and architectural guidance
- Drive innovation: Explore new models, frameworks, and reasoning techniques and apply them thoughtfully to real-world challenges
- Influence architecture: Provide technical guidance on architecture, experimentation, and deployment within and across teams
- Experiment and evaluate rigorously: Run end-to-end experimentation, including hypothesis definition, measurement, validation, and iterative improvement in production environments
- Model best practices: Establish and promote engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Skills
- 5+ years of professional software engineering or applied machine learning experience, including 1+ years working with Generative AI or LLM-based systems in production
- Strong 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 track record building scalable, resilient, secure, and maintainable systems that run reliably in production
- Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
- Ability to work deeply with engineers, product managers, and domain experts to co-create solutions
- Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
- History of delivering measurable business outcomes with AI solutions
- Strong competency in distributed systems, service design, performance optimization, and reliability engineering
- Experience building domain-tuned LLMs, vector reasoning techniques, or specialized retrieval architectures
- Experience in insurance, financial services, or other regulated industries
- Experience deploying AI components in Java ecosystems (e.g., Spring AI, LangChain4j, Embabel)
- Background in document intelligence, fraud or anomaly detection, or complex ontology and knowledge graph design
- Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance
- Ability to clearly communicate complex technical topics to senior leadership and non-technical stakeholders
Benefits
- Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
- Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
- Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
- Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
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