We're looking for a hands-on Software Engineer to help build and scale the next generation of AI-powered solutions. In this role, you'll combine deep Generative AI engineering with direct customer impact, developing production-grade applications that support field services, technical operations and the continued evolution of the AiDASH SaaS platform.
Approximately 75% of your time will focus on designing, building and operating Generative AI solutions, including agentic automation platforms, product-integrated GenAI capabilities and internal AI applications. The remaining 25% will involve partnering with electric-utility customers to deliver tailored solutions, address operational needs and support data-related work, including GIS data corrections.
This opportunity is well suited to someone who brings strong experience with LLM-based applications, backend and distributed systems, cloud services and secure multi-tenant architectures. You'll also have the opportunity to deepen your knowledge of AiDASH's proprietary platforms and the utility vegetation-management domain while collaborating with teams across engineering, product and professional services.
What you'll be doing Generative AI Engineering | Approximately 75%- Build and expand AiDASH's proprietary agentic automation platforms, including the Virtual Field Services Engineer, which supports customer customization development with human review, and the Virtual Support Engineer, designed to scale technical support capabilities.
- Design and deliver Generative AI capabilities within the AiDASH SaaS product, contributing across the full development lifecycle, from technical design and development to testing, deployment and production support.
- Develop enterprise data assistants and conversational web experiences, including a customer 360 assistant that provides clear, reliable answers grounded in current data from internal APIs, SQL and NoSQL databases, documents and search indexes.
- Build retrieval and orchestration services using retrieval-augmented generation, tool calling and structured outputs to connect LLMs with existing product APIs at runtime.
- Create intelligent workflows that transform conversations, documents, meeting notes and incoming requests into structured tasks, work items and notifications, with human approval steps and audit logging built in.
- Apply Generative AI to internal engineering operations, including the development of AI-assisted DevOps tools.
- Integrate, evaluate and monitor LLMs in production, including prompt and model configuration, versioning, automated evaluation and rollback capabilities.
- Track and continuously improve answer quality, source accuracy, latency, safety and cost.
- Implement robust authentication, authorization, tenant-level data separation, audit logging, error handling, retries and observability for AI services handling enterprise data.
- Develop proofs of concept and MVPs, then help evolve the strongest solutions into secure, scalable and production-ready applications.
- Contribute reusable tools, frameworks and engineering patterns that strengthen how AI applications are built and operated across AiDASH.
Professional Services Delivery | Approximately 25%- Design and deliver customer-specific customizations and product extensions using AiDASH APIs, including practical solutions for customer-reported gaps.
- Support customer deployments through operational data work, including GIS and geospatial data corrections.
- Integrate AiDASH products with customer and third-party systems, and support delivered solutions in production.
- Prepare clear technical documentation, deployment notes and product demonstrations for customers and internal teams.
Collaboration- Partner with product, engineering, data science, security, professional services and customer-facing teams to define requirements, scope solutions and deliver high-quality outcomes.
- Communicate technical decisions, dependencies and trade-offs clearly to both technical and non-technical stakeholders.
- Bring a collaborative and pragmatic approach to solving complex technical and customer challenges.
What You'll Bring- A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or an equivalent combination of education and relevant experience.
- 5+ years of professional software engineering experience.
- Hands-on experience building and deploying production Generative AI or LLM applications, such as chatbots, assistants, retrieval-augmented generation solutions, tool-calling workflows or AI evaluation systems.
- Strong programming skills in Python and/or Java, with experience writing maintainable, well-tested, production-quality code.
- Experience developing web applications using React, TypeScript or JavaScript.
- Experience working with microservices, REST APIs, multi-tenant applications and asynchronous processing.
- Experience with AWS or an equivalent cloud platform, including containers, deployment pipelines, monitoring and production support.
- Experience working with SQL and NoSQL databases, search systems, queues and caching technologies.
- Experience delivering software for enterprise customers and integrating solutions with third-party systems.
- The ability to communicate clearly and collaboratively with both technical and non-technical stakeholders.
You might also have- Experience working with utility, energy, geospatial or GIS data.
- Familiarity with secure enterprise AI applications, AI observability or LLM evaluation frameworks.
- Experience moving AI proofs of concept into scalable production environments.
We recognize that skills and competencies can be developed through a variety of experiences, both professional and personal. Even if you don't meet every single requirement listed, we still encourage you to apply. Your unique background and perspective could be exactly what we're looking for.
This job posting represents an active opportunity within our team. All applications are reviewed directly by our recruitment professionals, and no AI is used in the screening or selection process.
Let us learn about you! Apply today.You must submit an online application to be considered for any position with us. This position will be posted until filled.
