As a key innovator within the engineering organization, the Principal Software Engineer embeds artificial intelligence—particularly large language models (LLMs)—into both development workflows and product capabilities, accelerating delivery, enhancing developer productivity, and enabling intelligent, data-driven features.
This position requires a hands-on leader who has successfully migrated complex systems to the cloud, possesses strong expertise in AWS services and architecture, and actively applies AI/ML technologies to solve real-world engineering challenges. The ideal candidate thrives in forward-leaning environments, shaping technical strategy while mentoring teams and setting engineering excellence standards across the organization.
Platform Modernization
- Lead migration of .NET / Windows-based systems to Linux and AWS
- Re-architect legacy applications into cloud-native services
- Move from tightly coupled systems to modular, scalable architecture
AWS-Based System Design and Delivery
- Design and operate production systems using: EKS / Lambda, API Gateway, S3, RDS/Aurora
- Build infrastructure using: Terraform or CloudFormation
- Own CI/CD pipelines and deployment strategies using: TFS and AzureDevOps
AI-Driven Development
- Use AI to write, design, and accelerate software development
- Using LLMs (OpenAI, Copilot, Anthropic, etc.) for:
- Code generation and refactoring
- Test generation
- API design and documentation
- Building internal tooling that uses AI to improve developer velocity
- Leveraging AI to speed up debugging, migrations, and system design
AI-Powered Product Features
- Build and integrate AI-driven capabilities into the product, such as:
- Document ingestion and semantic search (RAG)
- Workflow automation powered by LLMs
- Agentic systems that take actions across services
- Design systems that combine:
- Structured data, unstructured content, AI reasoning, deterministic workflows
Content & Workflow Systems
- Work with document/content management systems
- Build workflow-driven pipelines (approval, routing, automation)
- Enhance workflows using:
- AI classification
- Summarization
- Decision support
- Bachelor’s Degree
- 10+ years’ experience in software engineering
- Experience migrating from Windows to Linux Environments
- Experience decomposing monolithic applications into cloud architecture
- Strong background in:
- C# / .NET (including modernization to .NET Core/.NET 6+)
- Backend systems and API design
- Deep experience with AWS services (not just exposure)
- Experience building and running production systems
- Strong understanding of observability, scaling, resilience
- Actively use AI tools in your development workflow
- Have built at least one real AI-powered feature or system
- Understand concepts like:
- RAG (Retrieval-Augmented Generation)
- Embeddings and vector search
- Prompt design and system orchestration
- Have experimented with or built:
- Agentic workflows or multi-step AI pipelines
- Able to make pragmatic tradeoffs in:
- Migration strategies
- Build vs buy decisions
- Comfortable working across:
- Legacy systems
- Modern cloud platforms
- Emerging AI tooling
Through scalable workflows, customizable digital forms, and AI-powered automation, the Laserfiche platform enables teams to simplify complex processes and operate with greater efficiency. Our no-code solutions empower employees to innovate, adapt quickly, and make data-driven decisions that move their organizations forward.
Learn more about our team here.
Laserfiche complies with all Equal Opportunity and Affirmative Action regulations. Laserfiche makes all employment decisions – such as recruiting, hiring, training, promotion, compensation, professional development practices, discipline and termination – without regard to race, religion, color, national origin, ancestry, citizenship, sex, pregnancy, age, creed, physical or mental disability, medical condition, genetic characteristic, marital status, veteran status, gender identity/expression, sexual orientation or any other characteristic protected by law, except as may be permitted by law.
Skills Required
- Bachelor's degree
- 10+ years of software engineering experience
- Experience migrating Windows-based systems to Linux environments
- Experience decomposing monolithic applications into cloud architectures
- Strong C# and .NET experience, including modernization to .NET Core or .NET 6+
- Strong backend systems and API design experience
- Deep experience with AWS services and architecture
- Experience building and operating production systems
- Understanding of observability, scaling, and resilience
- Active use of AI tools in software development workflows
- Experience building at least one AI-powered feature or system
- Understanding of RAG, embeddings, vector search, prompt design, and system orchestration
- Experience experimenting with or building agentic workflows or multi-step AI pipelines
- Ability to make pragmatic migration and build-versus-buy tradeoffs
- Comfort working across legacy systems, modern cloud platforms, and emerging AI tooling
What We Do
Laserfiche develops intelligent content management and business process automation software that accelerates how business gets done. Today, Laserfiche is innovating with cloud, machine learning and AI to enable organizations to boost productivity and deliver digital-first customer experiences.
Why Work With Us
Here at Laserfiche, we all share a common curiosity for anything and everything. This brings an all-hands-on-deck approach to our office. Employees quickly become experts in their roles, but more often form cross-functional teams, collaborate at all levels and take on impactful projects from day one.
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