NightDragon Acquisition Corp.
Principal Engineer - Machine Learning
NightDragon Acquisition Corp., Arlington, Virginia, United States, 22201
About interos.ai
Interos is the supply chain risk intelligence company – building the most trusted and transparent supply chains in the world. Our pioneering discovery and monitoring intelligence spans the lifecycle of supply chain risk, enabling faster and more informed threat mitigation. As the world’s first, and only, automated supplier intelligence platform, we continuously map and monitor extended supply chains at speed and scale to protect organizations from regulatory fines, unethical labor, cyber-attacks, and other systemic vulnerabilities. Interos serves a variety of commercial, government, and public sector customers around the world including a host of Global Fortune 500 companies and members of the Five Eyes nations. www.interos.ai
About the role
We are seeking an experienced Senior Principal/Principal Machine Learning Engineer who will serve as a technical architect for our ML team. This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI-driven solutions seamlessly integrate deeply within Interos’ product. You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and leveraging LLMs, automation frameworks and enterprise AI technologies to design and develop scalable, reliable and trusted AI agents.
What you will do
Architect AI-powered agents that integrate deeply into Interos.ai product experience Understand AI lifecycle: problem definition, data acquisition, model training, system integration, and validation Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation Define best practices for agent design, security, and governance in AI-driven enterprise applications Collaborate with product, engineering, and data science teams to design and implement AI-based automation solutions Identify new opportunities to embed AI into the Interos.ai platform Collaborate with external AI vendors, cloud providers, and open-source communities to bring the best-in-class technologies into our AI stack Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time
What you bring
12+ years of experience in Software development 7+ years of experience in AI, machine learning, with a focus on enterprise applications Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g., LangGraph) Experience with enterprise-grade AI architectures, API integration, and large-scale automation Proficiency in Python, cloud services (AWS), and AI model deployment Strong problem-solving skills and the ability to translate business needs into AI-powered solutions Experience in data privacy, security, and compliance for AI in enterprise environments Experience in Data lakes such as Snowflake and Databricks
Bonus points for
Masters/Doctorate degree in a relevant field, such as Computer Science, Mathematics, or Engineering Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring Hands-on experience with vector databases, retrieval-augmented generation (RAG), and fine-tuning LLMs Experience with fine-tuning models including identifying and curating datasets as well as experimenting with models for iterative improvement
What We Offer
Comprehensive health, dental & vision insurance 401(k) with employer match Flexible Time Off (FTO) + 10 paid holidays Wellness perks including onsite gym + Peloton room (HQ) Career growth opportunities in a fast-scaling company Employee referral bonuses and recognition programs
Compensation
Base Salary Range: $200,000 - $280,000 USD (depending on experience and location) Variable Compensation: Performance-based annual bonus Equity: Stock options included as part of total compensation package
We believe in rewarding great work with competitive, transparent compensation. Final offer will be based on skills, experience, and geographic location.
Work Environment, Location and Travel
This is a remote-first role open to candidates legally authorized to work in the United States. Employees may optionally work from our Arlington, VA HQ. This position may require up to minimal travel.
Equal Opportunity Employer
Interos.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.
Accessibility & Accommodations
We are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at hr@interos.ai.
#J-18808-Ljbffr
Interos is the supply chain risk intelligence company – building the most trusted and transparent supply chains in the world. Our pioneering discovery and monitoring intelligence spans the lifecycle of supply chain risk, enabling faster and more informed threat mitigation. As the world’s first, and only, automated supplier intelligence platform, we continuously map and monitor extended supply chains at speed and scale to protect organizations from regulatory fines, unethical labor, cyber-attacks, and other systemic vulnerabilities. Interos serves a variety of commercial, government, and public sector customers around the world including a host of Global Fortune 500 companies and members of the Five Eyes nations. www.interos.ai
About the role
We are seeking an experienced Senior Principal/Principal Machine Learning Engineer who will serve as a technical architect for our ML team. This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI-driven solutions seamlessly integrate deeply within Interos’ product. You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and leveraging LLMs, automation frameworks and enterprise AI technologies to design and develop scalable, reliable and trusted AI agents.
What you will do
Architect AI-powered agents that integrate deeply into Interos.ai product experience Understand AI lifecycle: problem definition, data acquisition, model training, system integration, and validation Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation Define best practices for agent design, security, and governance in AI-driven enterprise applications Collaborate with product, engineering, and data science teams to design and implement AI-based automation solutions Identify new opportunities to embed AI into the Interos.ai platform Collaborate with external AI vendors, cloud providers, and open-source communities to bring the best-in-class technologies into our AI stack Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time
What you bring
12+ years of experience in Software development 7+ years of experience in AI, machine learning, with a focus on enterprise applications Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g., LangGraph) Experience with enterprise-grade AI architectures, API integration, and large-scale automation Proficiency in Python, cloud services (AWS), and AI model deployment Strong problem-solving skills and the ability to translate business needs into AI-powered solutions Experience in data privacy, security, and compliance for AI in enterprise environments Experience in Data lakes such as Snowflake and Databricks
Bonus points for
Masters/Doctorate degree in a relevant field, such as Computer Science, Mathematics, or Engineering Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring Hands-on experience with vector databases, retrieval-augmented generation (RAG), and fine-tuning LLMs Experience with fine-tuning models including identifying and curating datasets as well as experimenting with models for iterative improvement
What We Offer
Comprehensive health, dental & vision insurance 401(k) with employer match Flexible Time Off (FTO) + 10 paid holidays Wellness perks including onsite gym + Peloton room (HQ) Career growth opportunities in a fast-scaling company Employee referral bonuses and recognition programs
Compensation
Base Salary Range: $200,000 - $280,000 USD (depending on experience and location) Variable Compensation: Performance-based annual bonus Equity: Stock options included as part of total compensation package
We believe in rewarding great work with competitive, transparent compensation. Final offer will be based on skills, experience, and geographic location.
Work Environment, Location and Travel
This is a remote-first role open to candidates legally authorized to work in the United States. Employees may optionally work from our Arlington, VA HQ. This position may require up to minimal travel.
Equal Opportunity Employer
Interos.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.
Accessibility & Accommodations
We are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at hr@interos.ai.
#J-18808-Ljbffr