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This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

YEAR

Anthropic

Staff Research Engineer, Multi-Agent Scaling

ea_via_bold

Bonus: Operating Terraform/OpenTofu at large scale - managing thousands of workspaces or state files, module registries and versioning strategy, drift detection and remediation, and policy-as-code enforcement. Demonstrated mastery of Infrastructure as Code (Terraform/OpenTofu strongly preferred; Crossplane, CloudFormation, or similar) including module design, state management, and scalable patterns for large teams.

Gusto Inc

Staff Software Engineer, Cloud Infrastructure

Our values of growth mindset, ownership, and humility are core to the way we work: we're tenacious in the face of challenges, we take the initiative to solve problems that drive our shared success, and we operate from a place of empathy and openness, seeking to understand many points of view. Amplitude is the leading AI analytics platform, helping over 5,200 customers-including Atlassian, Burger King, NBCUniversal, and Square-build better products and digital experiences.

Amplitude Inc

Staff Software Engineer - DevX

You''ll work hands-on across the stack (Ruby on Rails, Sidekiq), including evaluating both traditional API integrations and emerging AI agent protocols like MCP (Model Context Protocol), while partnering closely with Product, Design, and Data Science to make sure every integration fits naturally into how accountants actually work. The team maintains a growing portfolio of integrations today (including our Bookkeeping integrations), and we expect that portfolio to keep expanding as the team grows what "integrations" means for Gusto Pro.

Staff Software Engineer, Gusto Pro Integrations

9+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python o OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 8+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python. OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.

GitHub Inc

Staff Software Engineer, Planning & Tracking

You’ll own LLM-driven product features end-to-end, design agentic workflows that real users depend on, and collaborate closely with Product, Infrastructure, and Research to push the limits of AI-driven development. We’re expanding our AI Engineering Team to build next-generation AI-powered development workflows—enabling users to describe their applications in natural language and have AI generate, modify, and enhance their apps seamlessly.

Bubble

Senior Applied AI Engineer

Success means delivering just-in-time capacity, running workloads quickly, and ensuring data scalability across numerous applications, while balancing costs and addressing issues like implementation and infrastructure inefficiencies. Everything you need comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business.

Software Engineer II, Platform

Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users. We're continuing to build out our NYC engineering team and are looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments.

Knit Inc

Senior Full Stack Engineer

Build working integrations against third-party APIs, CRMs, field service management (FSM) platforms, telephony systems, and partner ecosystems, writing real code, handling REST APIs, JSON, authentication, and webhooks, and getting a credible proof of concept working quickly. Build and maintain the demo and sandbox tooling the GTM org relies on: reusable demo environments, representative fixture data, and internal tools, treating one-off deal builds as reusable assets (integration patterns, reference implementations, scripts) rather than throwaway work.

Avoca

Field Engineer

Staff Full Stack Engineer

You'll collaborate closely with our recruiting and marketing teams, translating business needs into technical solutions while maintaining the delicate balance between speed and scalability that defines successful startups. This isn't just another engineering role - you'll be a true product engineer who understands that every line of code impacts real users.

Fonzi

You will own the entire feature lifecycle—from architectural design to App Store launch - using Swift and SwiftUI to solve some of the hardest technical challenges in security and cryptography in order to secure personal information (PII), account data, and even voice & SMS traffic. Our journey began when our founder recognized a critical vulnerability in our modern world: everyone relies on the same stagnant cellular infrastructure and legacy systems that track our every movement, monitor and profile our connections, and lose and sell our personal data.

Cape

Software Engineer, iOS

Build the workflow engine and scale the data tier to ensure reliability and scalability, supporting high-volume ingest, export, and workflows for diverse direct-to-consumer applications. Success means delivering just-in-time capacity, running workloads quickly, and ensuring data scalability across numerous applications, while balancing costs and addressing issues like implementation and infrastructure inefficiencies.

bubble

Senior Software Engineer, Backend

As a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow.

Harvey, Inc.

Staff Software Engineer, Officejs

As a member of our team, you will collaborate with world-class engineers, architects, and visionaries, and work across organizational lines to solve "impossible" problems and deliver mission-critical results for our users every single day. Our journey began when our founder recognized a critical vulnerability in our modern world: everyone relies on the same stagnant cellular infrastructure and legacy systems that track our every movement, monitor and profile our connections, and lose and sell our personal data.

Software Engineer, Android

Work in a cross-functional team with frontend, backend, machine learning engineers and product managers to build and deliver compelling user-facing products and features, and expand existing ones. Play a crucial role in accelerating our product expansion by leading the launch of beta products and actively collaborating with clients to gather feedback and iterate on products for continuous improvement.

EliseAI

Senior Software Engineer (Full Stack)

WHAT WE'RE LOOKING FOR • 3+ years building production systems • Experience with retrieval systems, embeddings, vector databases, LLMs or knowledge graphs • Production ML experience: monitoring, versioning, evaluation frameworks • Experience with LLM orchestration (LangChain, LlamaIndex) and multi-agent systems • Familiarity with semantic layers (dbt), data warehouses (Snowflake, BigQuery), enterprise data systems Nice to Have • Enterprise data systems (Snowflake, BigQuery, Salesforce, Segment, Gong) • Multi-agent systems (LangGraph, CrewAI) or workflow orchestration (Airflow, Prefect) • Knowledge graphs, graph databases, semantic layer tools (dbt, Cube) • Real-time data pipelines and streaming architectures TECH STACK Core: Python (primary), TypeScript/JavaScript, SQL LLMs: Anthropic Claude API, OpenAI, in-house frameworks Knowledge Graphs/RAG Data Infrastructure: Snowflake/BigQuery/Redshift, dbt, Kafka/Pulsar, Reverse ETL (Hightouch, Census) Enterprise Integrations: Salesforce, HubSpot, Segment, Gong, Slack, Zendesk, Mixpanel/Amplitude COMPANY CONTEXT Stage: $3.3M pre-seed, proven product-market fit, growing adoption Team: Small senior team from Uber, Lyft, OM1, Capchase. Deepline is a context manager that understands how the real-world works, with an intent compiler that turns context & natural language into outcomes with guardrails and observability.

deepline.com

Founding Go-to-Market Engineer (Contract-to-Hire)

Ship across the full stack-leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend-to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.

Staff Software Engineer, Backend - NYC

The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Research Engineer / Research Scientist, RL Frontiers

This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic's ambitions.

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