Senior Software Engineer - Infrastructure - Remote - $180-220k + Equity

About Our Client

Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world’s most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI.

The Opportunity

As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity.

What You’ll Do

  • Design, build, and scale highly available backend services and APIs powering AI infrastructure products.
  • Develop cloud-native systems that support large-scale AI and machine learning workloads.
  • Architect distributed systems with a focus on reliability, security, performance, and scalability.
  • Build and maintain Kubernetes-based infrastructure and services.
  • Collaborate closely with product, infrastructure, and security teams to bring new products to market.
  • Contribute to technical architecture decisions and long-term platform strategy.
  • Mentor engineers and help establish engineering best practices across the organization.
  • Improve observability, automation, deployment workflows, and operational excellence.

Required Qualifications

  • Bachelor’s degree in Computer Science or a related technical field.
  • 5+ years of professional backend software engineering experience.
  • Strong experience designing and building scalable backend systems in production environments.
  • Deep expertise with Kubernetes and cloud-native technologies.
  • Experience building distributed systems, microservices, and APIs.
  • Experience working in a startup or high-growth technology environment.
  • Strong understanding of software architecture, system design, and engineering best practices.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience building infrastructure, platform, developer tooling, or security products.
  • Experience with AI/ML infrastructure, model deployment platforms, or large-scale data systems.
  • Experience with public cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with containerization technologies.
  • Experience operating in fast-paced environments with a high degree of ownership and autonomy.

Why Join?

  • Competitive compensation package, including meaningful equity participation.
  • Clear path to future liquidity as the company continues to scale.
  • Opportunity to build foundational products at the intersection of AI, infrastructure, and security.
  • Significant technical ownership and influence on product direction.
  • Collaborative, high-caliber engineering culture.
  • Chance to work on complex technical challenges shaping the future of AI infrastructure.

Equal Opportunity Employer

Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Principal Software Engineer - AI - Remote - $200-250k + Equity

About Our Client

Our client is a rapidly growing, venture-backed technology company building AI-powered intelligence platforms that help organizations discover, evaluate, and act on emerging business opportunities. By combining large-scale data infrastructure, machine learning, and advanced search technologies, they transform fragmented information into actionable insights for investors, enterprise teams, and high-growth companies. With strong backing from leading investors and significant year-over-year growth, the company is focused on building the next generation of AI-native research and discovery tools.

The Opportunity

Our client is seeking a Principal Software Engineer to help architect and scale the intelligence systems that power their AI-driven platform. This individual will play a key role in shaping technical strategy, building large-scale distributed systems, and advancing next-generation search, ranking, and recommendation capabilities. Working closely with engineering, product, design, and data teams, you’ll help define the future of AI-powered user experiences while influencing long-term technical direction across the organization.

What You’ll Do

Design and Scale Core Intelligence Systems

  • Architect and evolve large-scale search, retrieval, ranking, and recommendation systems.
  • Own end-to-end technical design across data ingestion, indexing, personalization, and model orchestration.
  • Develop scalable frameworks that deliver highly relevant and intelligent user experiences.
  • Create reusable architectural patterns that support a variety of discovery and research workflows.

Drive AI-Powered Product Innovation

  • Lead the development of AI-driven features and intelligent workflows across the platform.
  • Evaluate and integrate emerging technologies including LLMs, agentic systems, embeddings, and model orchestration frameworks.
  • Partner with product and design teams to create intuitive AI-native user experiences.
  • Improve experimentation and evaluation frameworks to measure performance and accelerate innovation.
  • Build scalable systems that balance reliability, performance, and rapid iteration.

Provide Technical Leadership

  • Mentor engineers and promote best practices in system design, scalability, and architecture.
  • Drive cross-functional technical decisions across engineering, data, and infrastructure teams.
  • Help define the long-term technical vision for AI-powered products and platforms.

Preferred Qualifications

  • 8+ years of experience building large-scale distributed systems and backend platforms.
  • Expertise in search, recommendation, ranking, retrieval, or information discovery systems.
  • Experience deploying machine learning or LLM-powered solutions into production.
  • Proven track record leading technical initiatives and influencing architectural direction.
  • Strong background in data-intensive applications, asynchronous processing, and event-driven architectures.
  • Experience building AI-native products or intelligent workflow platforms.
  • Familiarity with RAG architectures, vector databases, embeddings, and agentic frameworks.
  • Experience in high-growth startup environments.
  • Passion for emerging AI technologies and solving complex technical challenges.

Equal Opportunity Employer

Our client is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.