Spur

Socratix AI is building AI coworkers for fraud, financial crime, and compliance teams. Our agents investigate transactions and users around the clock, gathering evidence across various data sources to provide a complete picture for each case. As one of the first engineers, you will shape the technical foundation of the company, designing and shipping production AI agents that automate real investigations and produce decisions trusted by regulators. This is a high-impact role with significant growth potential, where you will define how agentic AI transforms financial crime operations.

Optexity is a product-driven research lab focused on building clinical reasoning and computer use models using unique, proprietary data obtained directly from clinics and hospitals. We integrate with clinical systems to access real-world physician reasoning trajectories, creating a feedback loop between patient encounters, our models, and product development. This role offers a unique opportunity to work with exclusive clinical data, define research agendas, and have direct access to founders, compute resources, and the ability to move quickly from idea to experiment.

Optexity is a product-driven research lab building clinical reasoning and computer use models on proprietary data obtained directly from clinics and hospitals. We provide integration infrastructure, enabling us to become a preferred partner and gain access to unique clinical reasoning trajectories from physicians. This creates a feedback loop between patient encounters, our models, and the products built upon them. We are a small, fast-moving founding team with a background from top tech companies and academic institutions, backed by prominent investors.

Modo is seeking a Founding Engineer to join their seed-stage startup. This role is crucial in shaping the product, company, and engineering culture. You will be responsible for writing code, engaging with customers, translating feedback into product changes, influencing the roadmap, and assisting in sales by rapidly building essential features. The position offers an opportunity to own features end-to-end, from prototyping to production, and to contribute to the core product surfaces, including employee-facing guidance UX and a manager dashboard. You will work across the full stack and integrate LLM features into production environments, while also establishing telemetry and evaluation systems for credible insights. As the company grows, there's a clear trajectory for leadership within the engineering team.

$140k - $200k

Manhattan Labs is building an AI-native compliance platform for community banks and financial institutions, addressing the challenges of intensifying regulatory pressure and sophisticated financial crime. The platform aims to provide an intelligence layer that can answer complex compliance questions with defensible, auditable answers. This is a founding engineer role where you will architect and build the AI-native platform, taking it from an early-stage MVP to a secure, reliable, enterprise-grade system. You will work directly with the founding team, own technical decisions, and lay the foundation for a fast-growing SaaS company by reimagining KYB and AML as autonomous intelligence.

Elo is building the ad network for consumer AI applications, experiencing rapid growth with millions of users acquired in a short period. As AI becomes the primary user interface, digital advertising will integrate into AI experiences. Elo aims to monetize AI apps by connecting them with advertisers to reach the right audience at the right time. Backed by prominent venture capital firms and advised by industry experts, the company is poised to revolutionize AI-driven advertising. The founding engineer will play a crucial role in designing the core ad delivery engine and supporting infrastructure, handling millions of requests per minute and scaling to meet future demand.

$140k - $200k

Spur is seeking a Technical Customer Success Engineer to help clients successfully implement and utilize our AI-driven testing platform in production environments. This is a hands-on, technical position focused on working closely with customers, analyzing metrics, and contributing to product growth. You will begin by shadowing experienced Solution Engineers and collaborating with Account Executives, eventually taking full ownership of customer accounts, pilot programs, and test strategies. This role is ideal for individuals who enjoy solving real-world problems, value direct customer interaction, and are eager to learn and grow rapidly within a dynamic environment.

Takt is building the intelligence layer for factories, aiming to transform them into smarter, more efficient operations. While factories have digitized extensively, data remains fragmented and underutilized. Takt bridges this gap by orchestrating AI agents with deep operational context across the manufacturing stack, enabling systems to reason, predict, and act. This role is for a Founding Full-Stack Engineer who will be the first engineering hire, working directly with the founders to build the core intelligence engine. You will influence critical early decisions in product, infrastructure, and architecture, gaining deep ownership and long-term impact in a software-defined manufacturing industry.

$120k - $180k

Spur is building foundational technology for the future of Quality Assurance with autonomous browser agents that mimic real user behavior. We are a small, elite team with experience from top tech companies and a mission to help customers deliver exceptional digital experiences. We are experiencing rapid growth due to strong market demand and are seeking a Founding Applied AI Product Engineer to join our New York City office.

$150k - $250k

Atrix is seeking a Forward Deployed Engineer (AI Solutions) to join their team. This role sits at the intersection of engineering, implementation, and customer value, partnering directly with enterprise pharma and biotech teams. You will transform complex scientific workflows into reliable, AI-powered systems to accelerate evidence generation, medical strategy, commercial insights, and patient impact. As a technical owner of key customer accounts, you will embed deeply into their workflows, translate needs into requirements, configure Atrix's AI-native platform, and ensure accuracy and trust. This is a hybrid role based in NYC, requiring office presence but offering flexibility for remote work.

Shiplight AI is building the foundation for enterprise-scale automation powered by intelligent agents, aiming to transform how work gets done. The company's initial mission is to fully automate software quality assurance by developing state-of-the-art agentic QA systems that integrate deeply into the software development cycle. As a founding engineer, you will join a small, mission-driven team led by industry veterans, working at the intersection of AI agents, system engineering, and real-world developer productivity.

TrueMeter is building the AI Energy Agent to revolutionize how businesses pay for and save on energy. As the grid faces unprecedented demand from AI and electrification, businesses struggle with rising energy costs and unpredictability. TrueMeter offers a solution by transforming complex utility bills into a simple, cost-effective, fixed-price subscription powered by AI. Having launched their MVP in May 2024 and already securing millions in energy bills from major brands, TrueMeter is experiencing rapid growth and seeking elite AI-native engineers to scale their innovative platform. This role offers a unique opportunity to own data and AI infrastructure end-to-end, working directly with the CTO to shape the company's data flow from raw telemetry to business impact in a fast-paced startup environment.

TrueMeter is building an AI Energy Agent to revolutionize how businesses pay for power, consolidating utility bills into a single, cheaper subscription. We've launched our MVP and are experiencing rapid growth, backed by top Silicon Valley investors. We are seeking a Backend Software Engineer (AI Applications) to join our early-stage team. This role involves building the backend systems that power our AI Energy Agent, integrating LLM-driven systems with data and APIs, and developing services to make AI practical in production. You will work closely with the CTO and other engineers to design scalable backend systems, ensuring speed, ownership, and pride in your work.

FlowGen Labs is a well-funded startup in the SF Bay Area, backed by tier-1 investors. We are building an agentic platform focused on solving complex, high-value software problems within large enterprises. Our product integrates program analysis, developer tooling, and code generation to significantly accelerate enterprise transformations while ensuring verification, auditability, and real-world guarantees. As a founding engineer, you will have the opportunity to own a zero-to-one product and its infrastructure, working directly with customers and shaping the company's culture, engineering standards, and future roadmap.

$240k - $400k

NomadicML is building a platform to unlock machine intelligence from over 5 trillion miles of driving footage. They are developing Vision-Language Models (VLMs) that transform raw footage into structured intelligence for autonomy and robotics, partnering with industry leaders to extract insights from vast amounts of data. The company was founded by experts in distributed systems, large-scale model training, and AI research. This role is for a Machine Learning Engineer who will work at the intersection of foundation model research and production engineering. You will be instrumental in training and fine-tuning large-scale VLMs to understand complex real-world video, focusing on building multi-modal architectures that can perceive, localize, and describe motion events. Your work will translate research breakthroughs into robust APIs and SDKs for enterprise customers.

FlowGen Labs is a well-funded SF Bay Area startup backed by tier-1 investors, building developer tools and AI-powered platforms for complex enterprise software, including code generation and workflow automation. This is a technical leadership role within a talent-dense founding team, offering meaningful equity and growth upside at the intersection of ERP and artificial intelligence. The role involves defining architecture, standards, and delivering solutions end-to-end, blending core platform design in cloud (AWS/Azure) data and application architecture with hands-on, customer-facing delivery.

$240k - $400k

You will be the technical founder driving the machine learning and AI backbone behind Known, an intelligent, compatibility-driven dating platform that blends psychology, data, and human-like conversation. You will design and ship the systems that make Known feel magical, including personalized matching algorithms, adaptive recommendation loops, and natural voice/LLM-based interactions to help users connect meaningfully. You will work closely with the founding team to shape both the data and ML foundations and the user-facing experiences that differentiate Known. This is a hands-on role with ownership across research, prototyping, and production deployment.

Known is seeking a foundational engineer to own its core infrastructure and platform systems, which power AI-driven matching, voice, and scheduling experiences. This role involves designing and scaling cloud infrastructure, data orchestration, performance monitoring, and model deployment assistance to ensure the platform is fast, reliable, and secure. You will collaborate directly with the founding team, including AI/ML, product, and design, to establish the company's technical foundation, influencing architecture, engineering culture, and best practices from the outset. This position is ideal for a pragmatic builder who thrives in early-stage environments, enjoys building from scratch, and prioritizes reliability, velocity, and simplicity.

Atrix is building purpose-built AI for life sciences, designed for the accuracy and rigor biopharma requires. We are live with top-10 pharmaceutical companies and scaling fast, focused on helping the right treatments reach the right patients, sooner. The core of our platform involves AI-native workflows that ingest unstructured data, structure it with AI, and deliver insights instantly and reliably. This role will be a core builder of our backend infrastructure, working on scalable data pipelines, robust APIs, and real-time inference systems. You will be instrumental in building a modular, agentic platform that connects to customer-approved data sources, transforms unstructured data using LLM-based agents, and delivers decision-ready intelligence to regulated teams.

Scend is modernizing M&A and bringing efficiency to private markets with a strong team, early customers, and backing from top investors. As a founding engineer, you will work directly with the founders to shape the product and architecture from the ground up. You'll have an outsized impact on everything from system design to our engineering culture. While prior experience is not required, a background or interest in LLMs and Machine Learning is a big plus.