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Invisible Technologies · 16 hours ago

Software Engineer, Forward Deployed

New York, United States

Full-time

Hybrid

Entry, Mid Level

$147K/yr - $216K/yr

2+ years exp

Invisible Technologies is an AI company that specializes in automating digital workflows and structuring data for AI applications. They are seeking a Software Engineer with a strong background in full-stack development and Agentic AI to work on ML-powered tools, collaborating closely with clients and internal teams to develop scalable systems and solutions.

Data Center AutomationInformation TechnologyProductivity ToolsProject Management

H1B Sponsor Likely

Responsibilities

As part of the Forward Deployed Engineering team, you’ll contribute during a phase of rapid growth as we focus on scaling models and improving platform performance. You’ll help build backend systems, support client-facing deployments, and enable smoother workflows for machine learning solutions

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

Machine Learning EngineeringBackend DevelopmentPythonCloud PlatformsMLOps FrameworksKubernetesAI AgentsScalable ML SystemsProblem SolvingCommunication

Required

2+ 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

Technical Expertise: 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)

ML Operations: Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management

Problem Solving: Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges

Communication: Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers

Company

Invisible Technologies

Glassdoor3.9

Invisible Technologies makes AI work. Our platform cleans, labels, and structures company data so it’s ready for AI.

Founded in 2015

San Francisco, California, USA

201-500 employees

https://www.invisible.co/

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

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Trends of Total Sponsorships

2025 (9)