anthropic jobs in San Diego

Lead a world-class Mobile Platform Engineering organization at ServiceNow, owning the technical roadmap for enterprise mobile capabilities across iOS and Android. You will hire and mentor exceptional mobile and AI talent, establish reusable frameworks and SDKs, architect enterprise mobile experiences for offline-first and low-connectivity environments, and drive reliability, security, and performance standards.…See more This role requires 12+ years of software engineering with significant mobile leadership experience, deep technical knowledge of mobile architecture, APIs, distributed systems, and cloud-native services, plus hands-on experience building or integrating generative AI and LLM-powered features into mobile applications.

Advanced manager and technical consultant designing and implementing enterprise-scale AI solutions spanning classical ML, generative AI, and agentic AI systems. Responsibilities include architecting AI-powered applications for business transformation (customer service, supply chain, finance, HR, operations), building RAG and autonomous agent workflows, developing ML pipelines, and establishing governance and observability frameworks.…See more Requires 8+ years in AI/ML/data science with 5+ years hands-on experience with Claude, GPT, LLMs, agentic frameworks, and RAG systems, plus deep expertise in prompt engineering, vector databases, and multi-agent architectures.

Design and build production AI systems integrated into enterprise workflows, owning the full stack from APIs and backend services through cloud infrastructure, data pipelines, and AI components. Lead multidisciplinary engineering teams, make architectural decisions across cloud platforms (AWS, Azure, GCP), containers, serverless, and infrastructure-as-code, while building agentic systems with tools, memory, and safety controls.…See more Own DevSecOps practices including CI/CD automation, security scanning, and incident response. Require 5+ years of production software engineering, full-stack development across multiple layers, hands-on experience with a major cloud platform, and proficiency in languages like Java, Python, Go, TypeScript, or C#.

Associate Software Engineer at Resmed will design, build, test, and deploy cloud-native applications and services that solve real healthcare customer problems. The role emphasizes modern software engineering practices, APIs, testing, and version control, with hands-on experience across the full development lifecycle from idea to production.…See more You'll use AI-assisted development tools and coding agents to support development and learning, and participate in code reviews, automated testing, CI/CD, and incident response. The position requires 2+ years of software development experience, strong programming fundamentals in a modern language, and genuine curiosity about how emerging AI-enabled engineering workflows can improve software development.

Build and deploy production-ready AI solutions using LLM orchestration platforms (LangChain, LangGraph, CrewAI, n8n) and agentic workflows that integrate with existing data infrastructure like Snowflake. Develop sophisticated prompt engineering and RAG systems with vector databases, conduct independent data analysis to identify AI opportunities, and translate technical work into clear insights for leadership.…See more Move solutions from concept to deployed, maintainable tools with proper documentation and intuitive interfaces. Collaborate cross-functionally with data scientists, analysts, and stakeholders to drive organizational impact.

AppFolio is hiring a Staff Machine Learning Engineer to design, build, and operate their ML platform on AWS, supporting training, fine-tuning, inference, RAG, and cost optimization across the organization's AI initiatives. You'll partner with applied AI and research teams to productionize prototypes, maintain multi-provider LLM reliability (OpenAI, Google, Anthropic), and operate AI safety guardrails and authorization layers.…See more The role requires production-scale ML infrastructure experience on AWS (ECS, SageMaker, GPU fleets), deep knowledge of model serving and inference optimization, hands-on language model training, and demonstrated cost discipline across AI workloads.

This role combines prompt engineering expertise with AI system governance and enterprise adoption strategy. The engineer will optimize LLM performance across platforms (OpenAI, Anthropic), design and configure AI agents and chatbots with knowledge grounding, and establish prompt governance frameworks and best practices.…See more Success requires 5+ years in AI/ML systems, 2+ years of hands-on prompt engineering, and demonstrated ability to evaluate AI performance, manage knowledge systems, and guide enterprise clients through AI tool adoption and deployment.

Founding Product Engineer at a safety/operations software company building AI-powered dashboards, compliance analytics, and agentic features across edge and cloud infrastructure. You'll own full-stack problems end-to-end—from AWS/container infrastructure and backend services (Go, Python, Java) through real-time frontends (TypeScript/JavaScript) to direct customer deployment and iteration.…See more Expected to ship fast, work across infrastructure, product, and AI agent layers, and demonstrate genuine range across the stack with 7+ years of software engineering experience.

Build and scale evaluation harnesses and automation to measure how well AI-powered software development tools perform. You'll develop reproducible benchmarking systems, validate evaluation approaches against human judgment, and analyze results across repeated runs to identify variance, failure patterns, and optimization opportunities.…See more The role requires strong software engineering expertise in automation and testing, proficiency in Python and at least one other language (Java, JavaScript), and solid knowledge of Git, Docker, CI/CD pipelines, and AI/LLM evaluation methodologies.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

Build and test agent behavior for an AI-driven service, including test case design and evaluation checks distinct from traditional software testing. Support data ingestion pipelines using AWS and BigData tools (PySpark, Airflow), collaborate with product and senior engineers to ship features, and contribute to production support (monitoring, alerting, incident response).…See more Requires 1–2 years of software engineering experience, a Master's in Computer Science or related field, proficiency in Python or another backend language, SQL/NoSQL fundamentals, basic REST API design, and hands-on experience with at least one LLM project (tool calling, chaining, retrieval, or multi-step coordination). Self-directed learner excited about AI tooling and focused on shipping end-to-end products.

Lead the design and engineering of enterprise-ready AI agents with retrieval, orchestration, policy-based routing, and lifecycle observability across multiple AI providers. Develop cloud-native abstraction layers, containerized microservices, and serverless architectures to deliver scalable agentic systems.…See more Tailor domain-specific workflows for finance, healthcare, and retail verticals through intelligent automation. Conduct design workshops, POCs, and code sessions with clients to shape data-driven agent workflows while defining metrics, evaluation harnesses, and best practices for agent accuracy, latency, safety, and cost-effectiveness.

Lead the design, governance, and technical implementation of an enterprise API and AI gateway platform serving internal and external consumers. Define solution standards, security controls, compliance protocols aligned to financial services regulations, and LLM integration patterns across Apigee X, MCP servers, and multiple AI providers.…See more Manage a team through API modernization and AI gateway buildout while actively contributing hands-on engineering on proxies, policies, and MCP integrations when needed.

Senior Forward Deployed Engineer responsible for building and deploying production-grade AI solutions using frontier GenAI platforms (Claude, Gemini, GPT-4o) in client environments. Will lead end-to-end solution delivery, including architecture decisions, demo/POC development, and client enablement while mentoring junior engineers.…See more Requires 5+ years software/data engineering experience, 1+ years hands-on GenAI/LLM development, and demonstrated ability to translate business problems into scalable AI workflows with strong engineering practices (CI/CD, testing, documentation).

As an Anthropic Forward Deployed Engineer, you will embed with government and public services clients to identify business needs and rapidly prototype GenAI-enabled solutions using Claude and related Anthropic technologies. You'll build production-quality AI solutions, agentic platforms, and workflows while working independently and collaborating with senior stakeholders to drive measurable business impact.…See more The role requires 4+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and demonstrated expertise with Anthropic's platform technologies including Claude API, tool use, and extended thinking. You'll develop scalable AI patterns, contribute reusable assets, and mentor team members while balancing quality, safety, latency, and cost considerations.

Senior Applied AI Engineer at West Health will design, build, and deploy production-quality AI-powered tools and workflows using large language models, multi-agent architectures, and orchestration platforms. The role involves building intelligent automation pipelines with tools like n8n, LangChain/LangGraph, and Microsoft Copilot Studio, integrating AI capabilities with existing data infrastructure (Snowflake, Python), and conducting data analysis to identify high-impact AI opportunities.…See more The ideal candidate combines deep practical expertise in applied AI with the ability to rapidly move from concept to fully working, well-documented applications that create measurable value for healthcare delivery and senior care initiatives.