Invisible Technologies

Principal Backend Engineer (Forward Deployed)

New York - Hybrid; San Francisco Bay Area - Hybrid · Principal

Sponsorship not specified$25k-$50kDetected 7 days ago

PythonFastAPIFull-Stack DevelopmentAWSGCPCloud PlatformsDockerKubernetesKafkaMachine LearningData EngineeringData ScienceLLMsAI OrchestrationAccessibilitySupply ChainRecruitingUnityCommunicationCollaboration

About the role

This is a hybrid role: equal parts AI engineer, software builder, and technical consultant.
It's perfect for someone who wants to be hands-on with models and close to the impact they generate.
Please note - We are always looking to connect with talented individuals for this role.

Responsibilities

Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to level-up the team
10+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Strong product and system design instincts - you understand business needs and how to translate them into technical architecture
Experience building usable systems from messy data and ambiguous requirements
During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location.

Requirements

Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems

Skills

About Invisible
Invisible Technologies makes AI work.
Our platform cleans, labels, and structures company data so it is ready for AI.
Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)

Compensation

You can find more information about our geographic pay tiers here.
For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.
Additional details on total compensation and benefits will be discussed during the hiring process.
$250,000 - $300,000
For this position, the annual salary range is: $250,000 - $300,000

Benefits

Our salary structure accounts for regional differences in cost of living while maintaining internal equity.
Offers will also include bonus + equity
Bonuses and equity are included in all offers.
Additional details on total compensation and benefits will be discussed during the hiring process.
Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.

Equal opportunity

We're an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.
Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information.
Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria.

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This listing is sourced directly from Invisible Technologies's careers page and normalized into a canonical job model.