Staff Engineer, AI Development

At Landis+Gyr, we're helping shape the future of energy—making it more intelligent, resilient, and sustainable. As a global energy technology leader, we're accelerating the energy evolution through purposeful innovation and trusted partnerships. Trusted by more than 2,000 utilities worldwide, our intelligent solutions connect devices, data, and decisions across the grid, helping customers modernize infrastructure, optimize operations, and deliver energy that is more reliable, resilient, accessible, safe, and sustainable. Behind every solution is a team of approximately 3,300 employees across more than 40 countries who are passionate about solving complex challenges, driving innovation, and making a meaningful impact for our utility customers and the communities they serve. Join Team Green and help shape the future of intelligent energy. The Staff Engineer, AI Development will lead the design, development, and delivery of production-grade AI solutions for Smart Grid and energy-management applications. Build scalable AI-enabled services using Go, C#, .NET Core, Java, TypeScript, and modern AI/ML frameworks, large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, APIs, containers, Kubernetes, and cloud platforms such as Google Cloud Platform (GCP), AWS, and Azure. Use AI-assisted development tools, including Cursor and Claude, to accelerate engineering while maintaining strong architecture, security, testing, traceability, and code-quality standards. Collaborate with Product Management, Project Management, Architects, Data Engineering, Cloud Infrastructure, Cybersecurity, and cross-functional R&D teams from discovery through production deployment. Serve as a hands-on technical leader who guides solution design, mentors developers, reviews implementation quality, shares practical AI engineering patterns, and helps the team adopt responsible and effective AI development practices. Key Responsibilities • Lead the architecture, design, development, documentation, validation, and production rollout of AI-enabled software components and end-to-end solutions. • Translate product and business needs into practical AI use cases, technical designs, delivery plans, and measurable acceptance criteria. • 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. • Use Cursor and Claude effectively for code generation, refactoring, debugging, test creation, technical analysis, and documentation, while ensuring all output is reviewed and validated. • Lead by example as a hands-on developer, contributing clean, secure, testable, maintainable, and well-documented code. • Mentor and coach software engineers through pairing, design reviews, code reviews, technical workshops, feedback, and individualized development guidance. • Help the team improve AI fluency and adopt repeatable practices for using AI coding assistants safely and productively. • Collaborate with Cloud Infrastructure, Data Engineering, Architecture, Cybersecurity, QA, Product Management, and domain experts to deliver reliable AI capabilities. • Define prototypes and proofs of concept, assess technical feasibility, and guide successful solutions from experimentation to production. • Create evaluation datasets and automated quality checks for accuracy, relevance, groundedness, latency, cost, safety, and regression detection. • Troubleshoot model, data, integration, performance, and production issues; drive root-cause analysis and sustainable corrective actions. • Provide detailed and accurate estimates for development efforts, technical risks, dependencies, and delivery milestones. • Participate in recruitment and technical interviews, and contribute to engineering standards and continuous-improvement initiatives. • Create technical documentation, architecture decisions, operational guidance, and knowledge-sharing materials. Technical Requirements: • Hands-on software development experience with Go, C#, .NET Core, Java, and TypeScript, along with a reasonable understanding of API and service development. • Demonstrated experience building applications with LLMs, prompt engineering, embeddings, vector search, RAG, tool/function calling, and agentic workflows. • Practical experience with Cursor and Claude for professional software development, including code generation, refactoring, debugging, testing, and documentation. • Experience with AI/ML frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LlamaIndex, or equivalent technologies. • Experience integrating commercial or open-source model platforms and APIs, with sound judgment about model selection, quality, latency, security, and cost trade-offs. • Experience with Docker, Kubernetes (GKE and/or RKE2), Helm, Linux, CI/CD, Git, and cloud-native deployment patterns. • Experience with GCP AI and data services is preferred; equivalent AWS or Azure AI experience is valuable. • Experience with relational, analytical, and/or vector databases, including PostgreSQL and ClickHouse, and with data pipelines, structured data, and unstructured content. • Working knowledge of model and application evaluation, observability, responsible AI, data protection, access controls, and secure software development. • 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. Company Culture: • Supports and adheres to the Company's core values. • Performs other duties or responsibilities as assigned or required. • Supports and adheres to the Company's Code of Conduct and Ethics Policy. • Represents the Company in a positive, professional manner when working with internal and external customers. Knowledge: • Knowledge of development processes, tools and related frameworks • Deep knowledge with relevant development and/or validation methodologies • Deep knowledge of AMI and Smart Grid Systems and Solutions Skills: • Advanced design, development, or validation skills in functional area • Strong technical skillset related to functional area • Good written and oral communication • Creative problem solving Abilities: • Ability to work on complex R&D projects without supervision • Ability to communicate effectively across audiences and through multiple mediums • Ability to work with others of diverse backgrounds • Ability to exercise critical thinking and creative problem solving • Ability to work effectively as part of a cross-regional team • Ability to understand data effectively to solve problems and support ideas • Ability to stay current on changing technologies and their applications in the utility industry • Ability to learn independently and facilitate training and knowledge sharing across multiple teams • Ability to lead a project with a small group of people, such as hosting weekly meetings, communicate with other partners in written forms • Ability to build cross-teams and cross-functional relationships which will facilitate ongoing projects • Make contributions to improve the engineering team. For example, activities like interviewing, or mentoring Accountabilities: • Identify, prioritize, and carry out tasks across the software development life cycle. • Build collaborative relationships and networks to achieve shared goals. • Promote teamwork and foster interdepartmental cooperation. • Adopt relevant technology and digital platforms. • Improve their usage through continuous learning. • Apply a creative and analytical approach to address problems. Identifies workable and timely solutions. • Develop others by providing a supportive growth environment through coaching, feedback, and guidance. • Provide direction, empower teams and removes obstacles to deliver results. • Identify and apply the most effective and efficient processes to deliver results with a focus on continuous improvement. • Create and implement strategies while considering future challenges and changing environments. • Consistently achieves goals and strives for high-quality results. Education and Experience • B.S. in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related degree • Extensive software development experience (7- 15 years). As a part of the Landis+Gyr family, employees are offered a comprehensive and competitive package of benefits including medical, dental and vision coverage, life insurance, and a 401(k)-retirement plan featuring a generous company match incentive. Additionally, we offer three (3) weeks of Paid Time Off (PTO) as well as eleven (11) paid holidays. We also offer a tuition reimbursement program, optional pet insurance, supplemental medical coverage and a host of other perks to ensure the health, wellness, and enrichment of our team members. Pay is in the range of $108,923 - $144,788 per year. The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, and certifications or other professional licenses held. All candidates are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We're committed to shaping a better future for everyone. Join Team Green and be part of what's next in energy. #TeamGreen