Staff Engineer, AI Development

Landis+Gyr•Milton, GA

15d•$108,923 - $144,788

About The Position

The Staff Engineer, AI Development leads the design, development, and delivery of production-grade AI solutions for Smart Grid and energy-management applications. The role builds scalable AI-enabled services using Go, C#, .NET Core, Java, TypeScript, AI/ML frameworks, large language models, retrieval-augmented generation, agentic workflows, APIs, containers, Kubernetes, and cloud platforms including GCP, AWS, and Azure. AI-assisted development tools such as Cursor and Claude are used to accelerate engineering while maintaining strong architecture, security, testing, traceability, and code-quality standards. The position collaborates with Product Management, Project Management, Architects, Data Engineering, Cloud Infrastructure, Cybersecurity, and cross-functional R&D teams from discovery through production deployment. It is a hands-on technical leadership role involving solution design, developer mentorship, implementation reviews, knowledge sharing, and supporting responsible and effective AI development practices.

Requirements

B.S. in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related degree.
Extensive software development experience; the posting specifies 7–15 years.
Hands-on software development experience with Go, C#, .NET Core, Java, and TypeScript, and 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 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, LlamaIndex, or equivalent technologies.
Experience integrating commercial or open-source model platforms and APIs, and evaluating trade-offs involving model selection, quality, latency, security, and cost.
Experience with Docker, Kubernetes (GKE and/or RKE2), Helm, Linux, CI/CD, Git, and cloud-native deployment patterns.
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.
Knowledge of development processes, tools, frameworks, and relevant development and/or validation methodologies.
Advanced design, development, or validation skills and strong technical skills in the functional area.
Good written and oral communication; ability to communicate across audiences and mediums and work with people of diverse backgrounds.
Ability to work independently on complex R&D projects, contribute effectively to cross-regional teams, and lead a project with a small group.
Ability to understand data, solve problems creatively and critically, and stay current with changing technologies and their utility-industry applications.
Ability to learn independently and facilitate training and knowledge sharing across multiple teams.
Ability to build cross-team and cross-functional relationships and contribute to engineering improvements, including interviewing or mentoring.
Ability to develop others, provide direction, empower teams, and support delivery of goals.

Nice To Haves

Experience with GCP AI and data services; equivalent AWS or Azure AI experience is valuable.
Experience with NATS, REST APIs, event-driven systems, and distributed microservices.
Knowledge of AMI, Smart Grid, utility systems, LwM2M, LTE, DLMS, ANSI, or Wi-SUN.
Deep knowledge of AMI and Smart Grid Systems and Solutions.

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 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 for code generation, refactoring, debugging, test creation, technical analysis, and documentation, reviewing and validating outputs.
Contribute clean, secure, testable, maintainable, and well-documented code as a hands-on developer.
Mentor and coach software engineers through pairing, design and code reviews, workshops, feedback, and individualized development guidance.
Help the team improve AI fluency and adopt repeatable practices for safe, productive use of AI coding assistants.
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 solutions from experimentation to production.
Create evaluation datasets and automated checks for accuracy, relevance, groundedness, latency, cost, safety, and regression detection.
Troubleshoot model, data, integration, performance, and production issues; conduct root-cause analysis and implement sustainable corrective actions.
Estimate development efforts, technical risks, dependencies, and delivery milestones.
Participate in recruitment and technical interviews, and contribute to engineering standards and continuous improvement.
Create technical documentation, architecture decisions, operational guidance, and knowledge-sharing materials.
Identify, prioritize, and carry out tasks across the software development life cycle.
Build collaborative relationships, promote teamwork, and foster interdepartmental cooperation.
Apply creative and analytical problem-solving, adopt relevant technologies, and improve their usage through continuous learning.
Develop others through coaching, feedback, and guidance; provide direction, empower teams, and remove obstacles to delivery.
Identify effective processes, contribute to continuous improvement, and consistently pursue high-quality results.
Represent the Company positively and professionally, adhere to its core values and Code of Conduct and Ethics Policy, and perform other duties as assigned or required.