Staff Engineer – .NET

Role Overview

• Focus on multiple areas and provide leadership to the engineering teams
• Own complete solution across its entire life cycle
• 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.
• Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows.
• Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges.
• Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams.
• Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments.
• Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.
• Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications
• Accountable for the quality, usability, and performance of the solutions
• Lead in design sessions and code reviews to elevate the quality of engineering across the organization.
• Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
• Mentor more junior team members professionally to help them realize their full potential.
• Consistently share best practices and improve processes within and across teams.

Requirements

• 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.

Tech Stack

• Azure
• Distributed Systems
• Docker
• Java
• Kubernetes
• NoSQL
• Python
• SDLC
• SQL

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.