Senior / Staff Infrastructure Engineer (San Francisco)

About Apiphany Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. About the Role As a Senior / Staff Infrastructure Engineer at Apiphany, you’ll design, build, and operate the infrastructure that powers our intelligence platform. You’ll be responsible for secure, reliable, and scalable cloud deployments, including the unique challenge of deploying into both internal and customer-managed clouds. You’ll ensure our systems meet strict requirements for latency, availability, and compliance in highly data-heavy environments. You’ll also guide our security posture, implement infrastructure-as-code, and set the foundation for engineering teams to ship with confidence. Experience & Skills 3-5 years of experience in cloud infrastructure (GCP preferred; AWS/Azure acceptable) Experience deploying into customer-managed cloud environments and hybrid setups Strong knowledge of application security (RBAC, ABAC, multi-tenant systems, identity/access frameworks, secrets management) Hands-on experience with Kubernetes, Docker, Helm, and service orchestration Proficiency with Infrastructure as Code (Terraform, Pulumi, or equivalent) Experience designing systems to meet low-latency and high-throughput requirements Background in monitoring, logging, and observability Experience building and maintaining CI/CD pipelines for production systems Skilled in networking (VPCs, peering, firewalls, service meshes) Bonus Skills Experience with data infrastructure (streaming frameworks, caching layers, big data stores) Exposure to compliance frameworks (SOC2, ISO, HIPAA, FedRAMP) Prior experience in high-security, regulated industries (aerospace, medtech, automotive) Backend development experience (Python, APIs, distributed systems) Exposure to ML infra Personality & Values: Startup mindset: bias toward action, rapid iteration, and ownership Mission-driven and customer-obsessed Self-motivated, collaborative, and eager to raise the bar for the whole team Passion for building secure, reliable infrastructure that empowers product innovation Compensation & Benefits: Base Salary: $160,000–$300,000 Equity: 0.1%–1.0% Visa Sponsorship Hybrid work: 3 days in San Francisco office 401(k) plan Medical, Dental, and Vision insurance coverage Snacks at the office Paid Time Off (PTO): Flexible vacation policy J-18808-Ljbffr

LLM Applications Engineer (San Francisco)

Thank you for your interest in Uncountable Engineering! Description Uncountable is seeking experienced engineers to lead the transformation of our platform into an AI-first R&D ecosystem. We are building the next generation of tools that empower scientists at Fortune 500 companies to accelerate discovery through Generative AI. As an LLM Applications Engineer, you will be the architect of our LLM infrastructure. You won't just be building interfaces; you will be designing the retrieval systems, agentic workflows, and data pipelines that bridge the gap between complex experimental data and actionable AI insights. Your work will directly modernize how the world’s leading researchers interact with their data. Primary Responsibility Your primary responsibility is to design, build, and scale the LLM infrastructure and user-facing AI features of the Uncountable Web Platform. This is a hybrid role requiring a deep understanding of full-stack development and the unique challenges of deploying LLMs in production. Infrastructure: Implement and optimize RAG (Retrieval-Augmented Generation) pipelines, vector databases, and prompt management systems. Feature Development: Build intuitive, AI-driven UI components that allow scientists to query, analyze, and visualize complex experimental datasets. Integration: Connect LLM capabilities with our core SQL databases and data analysis engines to ensure high-fidelity, grounded AI responses. Salary Range: $130K–$175K Equity Requirements 2 years of software development experience with a focus on full-stack web applications. Proven experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or Haystack). Proficiency in Python and JavaScript/TypeScript: Ability to work across the AI backend and the React frontend. Solid Engineering Fundamentals: Experience with API design, asynchronous processing, and performance optimization. Preferred Qualifications B.S. in Computer Science or a related technical field. Experience with LLM Evaluation: Knowledge of how to measure and mitigate hallucinations in a scientific/technical context. Familiarity with SQL: Specifically optimizing queries that serve as the context for LLM prompts. Product Mindset: A passion for creating LLM-first user experiences that feel seamless rather than bolted-on. Our Current Stack Backend: Flask (Python), Postgres Frontend: React (Typescript), Redux, Sass Benefits Competitive Salary and Equity Health and Dental Insurance 401K with Employer Contribution What's next? Learn more about Interviewing at Uncountable Learn more about our engineering team: Check out our blog J-18808-Ljbffr

Cloud Infrastructure Engineer (San Francisco)

Join to apply for the Cloud Infrastructure Engineer role at Braintrust . About The Company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions — turning production data into better AI with every release. About The Role We’re looking for a Cloud Infrastructure Engineer to help us build reliable, scalable infrastructure and give developers a world‑class platform to ship code with speed and confidence. You’ll lead efforts across Terraform, Kubernetes, CI/CD, observability, and support, and play a key role in how we scale Braintrust both internally and for customers self‑hosting our platform. This is a high‑impact role where you’ll contribute across our internal AWS environment and help customers deploy our stack in AWS, Azure, and GCP. What you’ll do Build and maintain Terraform modules for both internal infrastructure and customer deployments Work directly with customers in Slack to support self‑hosting and troubleshoot infrastructure issues. Build tools to make it easier for them to support themselves. Own and improve our CI/CD pipeline: reduce build times, improve failure visibility, and enable safer, faster releases Centralize and scale observability - including logs, metrics, dashboards, and alerts Partner with engineering teams to build and evolve a secure, developer‑friendly infrastructure platform Support multi‑cloud deployment patterns (AWS primarily, with Azure and GCP support for enterprise customers) Implement tools and automation to improve deployment, rollback, and infrastructure reliability Ideal candidate credentials 5 years of experience in DevOps, SRE, or Infrastructure Engineering roles Deep experience with Terraform and at least one major cloud provider (AWS strongly preferred) Strong Kubernetes skills: deploying, debugging, and scaling real workloads Proficient in scripting or programming (Python, Typescript, or Go) Experience supporting production systems and responding to incidents Comfortable working directly with customers in a support or deployment context Bonus: experience with multi‑cloud environments or self‑hosted enterprise software Benefits include Medical, dental, and vision insurance Daily lunch, snacks, and beverages Flexible time off Competitive salary and equity AI Stipend Equal opportunity Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Location: San Francisco, CA Salary: $180,000–$250,000 per year. J-18808-Ljbffr