Senior Engineer (JavaSoftware DevelopmentAI) Hybrid

Position Description

Our Senior Engineer works with our engineering team to innovate and build new systems improve and enhance existing systems andidentifynew opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities including shaping how applied AI and intelligent automation are incorporated into enterprise solutions where they materially improve business outcomes. The ideal candidate is a self-starter with deep technicalexpertisein theirdomainanda strong senseof which AI technologies areappropriate forvarious use cases while ensuring solutions meet enterprise standards for reliability security and operability.

Position Responsibilities

As a Senior Engineer you will:

• Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise including applied AI architecture technology selection and integration patterns across teams

• Collaborate across team members and across the tech organization to solve our toughest problems working with product domain experts and analytics partners to translate business needs into technical designs that may include AI components

• Deliver high-quality services and software for a variety of domains including AI-augmented workflows and intelligent services whereappropriate with accountability for the quality usability and performance of the solutions

• Identifyand evaluate opportunities to apply AI intelligent automation and agentic workflows to enterprise processes distinguishing high-value use cases from hype-driven experiments

• Utilize programming languages like Java C# or other object-oriented languages SQL and NoSQL databases container orchestration services including Docker and Kubernetes cloudtoolsand services across Azure/AWS/GCP and integrate AI services model APIs and orchestration tooling into the platform stack

• Work on end-to-end solutions that may span front-end implementations (Flutter Angular React) through API tiers and back-end domain services

• Be a role model and mentor helping to coach and strengthen the technicalexpertiseandknow-howof our engineering and product community including applied AI patterns production evaluation and responsible deployment practices. Influence and educate executives

• Design durable observable AI workflows using orchestration and agent patterns (e.g. Temporal for long-running workflows; Fable and comparable agent frameworks) combining tools APIs business rules and human-in-the-loop steps

• Select and rationalize AI technologies for each use casemodels retrieval vector stores knowledge graphs workflow engineswith clear tradeoffs on cost latency accuracy security and operability

• Establish engineering patterns for evaluating monitoring and governing components in production including testing quality metrics safety fallback behavior and incident response

Qualifications

• Exemplary ability to design perform experimentsincluding AI/LLM evaluation measurement and iterative improvement in productionand influence engineering direction and product roadmap

• Extensive experience shipping LLM generative AI or intelligent automation solutions in production environments

• Strong grasp of when to use agents retrieval-augmented generation classical ML rules-based workflows or hybrid approaches for a given business problem

• Experience integrating AI into enterprise services via APIs events authentication and observability patterns

• Understanding of agent architectures workflow orchestration vector retrieval and knowledge/context design

• Extensive experience in leading and building full-stack application and service development with a strong focus on SaaS products / platforms

• Provenexpertisein designing and developing microservices using GraphQLgRPC Java Python Kafka with a deep understanding of both API and event-driven architectures including integration of AI inference retrieval and async/agent workflows

• Proven experience designing and deliveringhighly-resilientevent-driven and messaging-based solutions at scale with minimal latency including long-running failure-tolerant workflows for multi-step AI processes

• Fluency and specialization with at least two modern OOP languages such as Java C# C or Python including object-oriented design

• Great understanding of open-source databases like MySQL PostgreSQL etc. anda strong foundationwith NoSQL databases like Cosmos Cassandra Apache Trino etc.

• Knowledge of developer tooling across the software development life cycle (task management source code building deployment operations real-time communication)

• Fluency in test engineering and automated testing concepts including evaluation and regression testing for non-deterministic AI components

Experience

6 years full-stack development experience (Java/C#/Python/Go) withexpertisein client-side and server-side frameworks

4 years of experience with architecture and design

2 years of applied AI generative AI or intelligent automation experience in production or demonstrable ownership of AI-enabled platform capabilities

2 years of experience with AWS GCP Azure or another cloud service

Education

Bachelors degree in Computer Science Information Systems or equivalent education or work experience

At this time GEICO will consider sponsoring a new applicant for employment authorization for this position.