Staff Engineer, AI Development
Landis+Gyr18 days ago
Alpharetta, GA, USASenior / Staff+
Base Salary
$109k - $145k/yr
Responsibilities
- Lead the architecture, design, development, documentation, validation, and production rollout of AI-enabled software solutions.
- Build and integrate LLM applications, RAG pipelines, semantic search, prompt workflows, AI agents, model APIs, and supporting microservices.
- Establish engineering patterns for prompt management, evaluation, observability, guardrails, security, data privacy, human oversight, and responsible AI.
- Develop clean, secure, testable, maintainable, and documented production code using AI-assisted development tools such as Cursor and Claude.
- Create evaluation datasets and automated quality checks covering accuracy, relevance, groundedness, latency, cost, safety, and regression detection.
- Prototype solutions, assess technical feasibility, troubleshoot production and integration issues, and guide capabilities from experimentation to production.
- Mentor and coach software engineers through pairing, design reviews, code reviews, workshops, feedback, and development guidance.
- Collaborate with Product Management, Project Management, Architecture, Data Engineering, Cloud Infrastructure, Cybersecurity, QA, and domain experts.
- Provide estimates for development effort, technical risks, dependencies, and delivery milestones.
- Participate in recruitment and technical interviews and contribute to engineering standards, documentation, knowledge sharing, and continuous improvement.
Requirements
- Bachelor of Science degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
- Seven to fifteen years of extensive software development experience.
- Hands-on development experience with Go, C#, .NET Core, Java, and TypeScript, plus API and service development knowledge.
- Experience building LLM applications using prompt engineering, embeddings, vector search, RAG, tool or function calling, and agentic workflows.
- Professional experience using Cursor and Claude for code generation, refactoring, debugging, testing, and documentation.
- Experience with AI/ML frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, and LlamaIndex.
- Experience integrating commercial or open-source model platforms and APIs while evaluating model quality, latency, security, and cost trade-offs.
- Experience with Docker, Kubernetes, GKE and/or RKE2, Helm, Linux, Git, CI/CD, and cloud-native deployment patterns.
- Preferred experience with GCP AI and data services; equivalent AWS or Azure AI experience is valuable.
- Experience with relational, analytical, or vector databases, including PostgreSQL and ClickHouse, as well as data pipelines and structured and unstructured content.
- Working knowledge of model and application evaluation, observability, responsible AI, data protection, access controls, and secure software development.
- Additional experience with NATS, REST APIs, event-driven systems, and distributed microservices is a plus.
- Knowledge of AMI, Smart Grid, utility systems, LwM2M, LTE, DLMS, ANSI, or Wi-SUN is a plus.
- Ability to lead complex R&D work, communicate across audiences, mentor others, solve problems creatively, and collaborate across regions and functions.
Benefits
- Medical, dental, and vision coverage are provided.
- Life insurance and a 401(k) retirement plan with a company match are offered.
- Three weeks of paid time off and eleven paid holidays are provided.
- Tuition reimbursement, optional pet insurance, supplemental medical coverage, and additional wellness and enrichment perks are available.
Tech Stack
AWSAzureC#ClickHouseDockerGitGoGoogle Cloud PlatformHelmJavaKubernetesLinuxPostgreSQLPyTorchscikit-learnTensorFlowTypeScript
Categories
About Landis+Gyr
Landis+Gyr builds smart metering systems, grid-edge devices, and analytics software for electric, gas, and water utilities. It sells meters, AMI networks, device management platforms, and managed services that support energy management and smart infrastructure modernization. Headquartered in Cham, Switzerland, the company serves thousands of utilities in more than 40 countries.