Sapiom: Financial infrastructure for autonomous AI agents.
8+ YOE8+ years building large-scale backend or distributed systems; staff/principal level technical leadership; strong Python, Go or Typescript skills; experience with developer platforms, event-driven architectures, and modern AI/LLM systems.
Applied Compute: Developing specialized AI agents for corporate enterprise workflows.
Strong full-stack engineering skills, production web application experience, real-time and asynchronous systems experience, rapid application development ability, and familiarity with LLM-powered applications and agent architectures.
Drata: Automated security and compliance platform for businesses.
3+ YOE3+ years software engineering; experience with AI tooling and developer platforms; MCP and CI/CD; AWS; TypeScript or Python; CI/CD tooling; knowledge of Anthropic API or equivalents; strong prompt engineering; agile experience.
TELCOR: Provides healthcare software for laboratory and point-of-care operations.
2+ YOE2+ years experience with TypeScript and ReactJS; experience with LLMs; Redis and Postgres; personal projects; open source contributions preferred.
FreshworksNASDAQ: FRSH: Provides cloud-based customer support and IT management software.
6+ YOE6+ years backend experience, 1-2+ years in AI/ML platform work; expert Java and Python; experience with LangChain/LangGraph/LangSmith, Kubernetes, AWS, Terraform, PostgreSQL and vector DBs; Temporal or Airflow and Kafka.
San Francisco or Toronto or Montreal or United States or Canada
RemoteFull Time
MaintainX: Provides mobile-first software for maintenance and asset management.
10+ YOE10+ years software engineering experience, 3+ years building ML/LLM systems, strong Python backend skills, platform engineering and developer-experience experience, technical leadership at Principal level.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
5+ YOEDegree in CS/CE or related, 5+ years systems/DevOps/ML infrastructure experience, hands-on AI/GPU cluster and Linux/Kubernetes expertise, Python/Bash scripting, and knowledge of storage, networking, and security.
Exact SciencesNASDAQ: EXAS: Provides molecular diagnostic tests for early cancer detection.
3+ YOE3+ MgmtDesign and deploy AI/ML and NLP solutions (including LLM/Gen AI) with leadership experience, strong Python skills, AI/ML knowledge, ethical AI awareness, and 3+ years project leadership experience.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design, build, and operate scalable AI data platforms, develop reusable platform services and data pipelines, and implement data quality frameworks for AI-ready datasets.
McAfee: Provides cybersecurity and privacy protection software for consumers.
10+ YOE10+ years platform engineering experience with GenAI/LLM ecosystems, Kubernetes (EKS/GKE), cloud (AWS/GCP), Python and Go, Terraform, Backstage, CI/CD, vector stores/OpenSearch, Kafka, and enterprise AI security and governance.
Hellyeah AI: AI-powered automated advertising and growth engine.
Experience building platform/tooling systems with TypeScript or Python; browser automation or simulation experience; strong product instincts; AI-first development.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years building and operating production platform/backend infrastructure; 5+ years ML infrastructure; strong Python and a compiled language; experience with job queues, sandboxed execution, and production reliability.
Nextdata: Provides an operating system for building autonomous data products.
Hands-on experience building backend services, agentic AI apps, RAG/retrieval systems, SQL and vector search integration, API development, and production controls (access, audit, testing).
San Francisco or Alabama or Arkansas or California or Colorado or Florida or Georgia or Illinois or Kentucky or Massachusetts or Michigan or Montana or Missouri or Nevada or New Jersey or New York or North Carolina or Oregon or Pennsylvania or Texas or Washington or Utah or Virginia or Wisconsin or United States
$169k-$273k/yrHybridFull Time
Afresh: AI-powered inventory management for grocery store fresh food departments.
5+ YOE5+ years building production software/data/ML systems; strong Python, systems and API design; hands-on LLM systems (retrieval/RAG, agents, evaluation); Databricks/MLflow and modern data-platform experience.
GuidewireNYSE: GWRE: Provides a software platform for property and casualty insurers.
10+ YOE10+ years software engineering; 5+ years ML platforms/infrastructure; distributed systems; Python/Go/Java; Docker/Kubernetes; MLOps tools; cloud experience; knowledge of ML models.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOE8+ years designing and operating production platform/backend infrastructure,5+ years ML infrastructure,BS/MS/PhD or equivalent in CS/EE/CE,strong Python and compiled-language skills,experience with Kubernetes Jobs and job queues.
Senior. Distinguished AI Engineer (Agentic AI Platform)
San Francisco or McLean or Cambridge or San Jose or New York
$343k-$392k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
8+ YOEMaster's + 8 years or Bachelor's + 10 years in AI/ML; deep software engineering skills; experience with agentic frameworks, LLMOps, cloud platforms, Kubernetes, and mentoring/architecting large-scale AI systems.
AI Platform Engineer, Backend (Agentic Engineering)
San Francisco, California, United States
HybridFull Time
Brain Co.: Builds AI software platforms for governments and large enterprises.
5+ YOE5+ years building backend systems in production; deep proficiency in Python, TypeScript, Go, or Rust; strong fundamentals in distributed systems; designed APIs and services; built shared infrastructure; strong developer experience.
Notable: Automates administrative and clinical workflows for healthcare providers using AI.
Production Python proficiency, experience building and operating LLM-powered features, familiarity with Jupyter environments, designing for reliability/scalability/observability, and ability to decompose ambiguous problems and own delivery end-to-end.