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A premier talent firm seeks a Senior Backend & Infrastructure Engineer for a Series A AI startup in NYC. You'll design scalable systems, collaborate with researchers, and shape AI reliability solutions. Ideal candidates have extensive software engineering experience, particularly in cloud and backend technologies.
Title of Role: Senior Backend & Infrastructure Engineer
Location: New York City (In-Person, Flatiron)
Company Stage of Funding: Series A
Office Type: Onsite 5 Days a Week
Salary: $225,000 – $480,000 + Competitive Equity
Company Description
Our client is a Series A, VC-backed AI infrastructure startup building a platform to bring AI-based applications from proof-of-concept to production. Their mission is to improve the reliability and safety of large language model (LLM) applications through advanced testing, guardrails, and evaluation frameworks.
The company is already working with top-tier customers — from leading AI labs to enterprise-scale businesses — to ensure their AI systems are robust, trustworthy, and ready for real-world deployment. With a seasoned founding team and strong technical advisory board, this is an exciting opportunity to join early and shape the future of AI reliability tooling.
What You Will Do
Design and implement scalable systems that orchestrate thousands of LLM operations per second (e.g., evaluations, red-teaming, runtime guardrails)
Collaborate with researchers to deploy novel AI models and build cutting-edge reliability tooling
Interface with customers to refine the platform’s capabilities and improve developer workflows
Contribute to architectural direction and mentor a growing team of engineers
Establish best practices that enable operational excellence across engineering
Ideal Candidate Background
7+ years of experience as a software engineer, including at least 3 years leading large initiatives as an engineer or manager
Demonstrated success in building and scaling complex distributed backend systems
Previous work in early-stage or 0→1 product environments, ideally B2B SaaS
Exposure to applied AI/ML workflows and collaboration with research/ML teams
Experience with cloud-native infrastructure in production environments
Preferred
Familiarity with LLMs, model evaluations, or applied AI testing
Expertise in security, privacy, or compliance in cloud environments
Experience building or operating GPU-based model infrastructure
Contributions to open-source infrastructure or developer tooling projects
Must Haves
Strong proficiency in at least one backend language (e.g., Python, Go, Rust)
Deep knowledge of cloud platforms (AWS, GCP, or Azure), Kubernetes, Terraform
Strong understanding of relational and NoSQL databases (e.g., Postgres, MongoDB, Redis)
Practical, outcomes-oriented mindset with ability to solve ambiguous problems
Strong communication and collaboration skills
Compensation, Benefits & Other Details
Base Salary: $225,000 – $480,000
Equity: Competitive stock options package
Work Location: In-person, Flatiron (NYC HQ)
Visa Sponsorship: Available for exceptional candidates
Team Size: <10, working alongside engineers from top academic and industry backgrounds
Tech Stack: Python, FastAPI, Kubernetes, Terraform, Postgres, MongoDB, Redis, AWS, React, TypeScript
This is a rare opportunity to shape the infrastructure powering the next generation of safe, production-ready AI applications. If you thrive in fast-paced, mission-driven environments and want to build something foundational in AI, we’d love to hear from you.