Invisible Technologies · 2 days ago
Principal Software Engineer
Invisible Technologies is a company focused on making AI work through their end-to-end AI platform. They are seeking a highly skilled Principal Software Engineer to join their AI/ML team, where the role involves developing scalable backend systems, optimizing cloud infrastructure, and collaborating with clients to deploy machine learning solutions.
Data Center AutomationInformation TechnologyProductivity ToolsProject Management
Responsibilities
Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines
Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models
Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance
Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms
Client Engagement: Collaborate directly with Invisible’s clients, working embedded with client teams to support use case discovery, product development, and AI deployment
Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows
Qualification
Required
5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production
Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads
Prior experience working directly with clients in use case discovery, product development, and leading client engagements
Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development
Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications
Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads
Familiarity with Kubernetes and other container management tools
Ability to write well-structured, organized code and automated unit/E2E tests
Comfortable with polyglot persistence models (SQL vs. NoSQL)
Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management
Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges
Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers
Company
Invisible Technologies
Invisible Technologies makes AI work. Our platform cleans, labels, and structures company data so it’s ready for AI.
H1B Sponsorship
Invisible Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Growth StageRecent News
Business Wire
2024-10-24
Company data provided by crunchbase