Job Description A high-growth technology company focused on artificial intelligence, data platforms, and cloud-native solutions is seeking a Principal Software Platform Engineer to join its fully remote engineering organization. This opportunity is open to candidates residing in Maine who are passionate about building scalable infrastructure that powers modern AI and machine learning applications.
In this role, you will help shape the engineering foundation that supports advanced analytics, machine learning models, generative AI systems, and large-scale data processing workflows. You will serve as a senior technical leader responsible for designing highly available platform services, improving operational reliability, and driving best practices across cloud infrastructure and software engineering.
This position is ideal for someone who enjoys solving large-scale technical challenges, influencing engineering direction, and building systems that enable teams to deploy and operate AI solutions efficiently and securely. You'll partner with software engineers, machine learning practitioners, platform teams, and security stakeholders to deliver robust cloud-based services used in production environments. Required Skills & Experience 10+ years of experience developing and operating enterprise software systems
Strong background in distributed systems, cloud platforms, and backend engineering
Demonstrated experience leading technical initiatives and making architecture decisions
Extensive experience supporting machine learning infrastructure in production environments
Hands-on experience deploying AI and LLM-based applications at scale
Deep understanding of software platform design, system scalability, and resilience engineering
Experience with model lifecycle management, versioning, deployment, and operational support
Knowledge of retrieval systems, vector search technologies, embeddings, and RAG architectures
Advanced proficiency in Python and TypeScript
Experience designing and maintaining RESTful APIs and backend services
Strong AWS experience and familiarity with cloud-native application development
Experience with Docker and containerized deployment environments
Familiarity with Infrastructure as Code practices using CloudFormation, AWS CDK, or similar tools
Knowledge of observability frameworks, performance monitoring, and distributed tracing
Experience securing applications that manage regulated or sensitive data
Excellent communication and cross-functional collaboration skills
Desired Skills & Experience Experience building AI platforms that support agent-based workflows
Familiarity with modern LLM orchestration technologies and AI development frameworks
Knowledge of infrastructure optimization for AI inference and model-serving environments
Experience establishing platform standards for AI evaluation and quality assurance
Exposure to multimodal machine learning workloads and large-scale data processing
Understanding of model optimization techniques and production AI performance tuning
Experience working in regulated industries with compliance and audit requirements
Background in scientific computing, healthcare technology, biotechnology, or laboratory systems
Experience improving platform efficiency through automation and operational tooling
What You Will Be Doing Daily Responsibilities Design and enhance the software platform that enables AI and machine learning capabilities
Develop cloud-based services that support scalable model deployment and execution
Build systems that improve reliability, availability, and operational efficiency
Establish engineering standards for platform architecture and software delivery
Support model lifecycle workflows including versioning, deployment, promotion, and rollback
Design secure infrastructure that supports customer data protection and tenant isolation
Implement monitoring, logging, alerting, and tracing solutions across platform services
Collaborate with engineering teams to improve developer experience and deployment processes
Lead technical discussions and contribute to long-term platform strategy
Mentor engineers and promote software engineering best practices
Evaluate emerging technologies and identify opportunities for platform enhancement
Contribute to automation initiatives across infrastructure, deployment, and operational workflows
The Offer Competitive compensation package
Fully remote opportunity for candidates located in Maine
Opportunity to build and scale next-generation AI and software platforms
Significant technical ownership and influence across engineering initiatives
Collaborative environment focused on innovation, technical excellence, and continuous improvement
You will receive the following benefits Medical Insurance
Dental Benefits
Vision Benefits
Unlimited Paid Time Off (PTO)
401(k)
Life Insurance
Short-Term Disability Coverage
Long-Term Disability Coverage
Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Sponsorship is not available for this position.