Frontier Agents Engineer Job at Scale (San Francisco, CA)

Senior Staff Frontier Agents Engineer

As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be...

Location

United States , San Francisco, CA; New York, NY

Salary:

288000.00 - 360000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Job Responsibility

Customer Integration & Deployment
AI Agent Development
Prompt Engineering & Optimization
Technical Leadership & Collaboration
Problem Solving & Innovation

What we offer

comprehensive health, dental and vision coverage
retirement benefits
learning and development stipend
generous PTO
commuter stipend

Fulltime

Staff Frontier Agents Engineer

As a Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the te...

Location

United States , San Francisco, CA; New York, NY

Salary:

252000.00 - 315000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Job Responsibility

Customer Integration & Deployment
AI Agent Development
Prompt Engineering & Optimization
Technical Leadership & Collaboration
Problem Solving & Innovation

What we offer

Comprehensive health, dental and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Commuter stipend

Fulltime

Senior Frontier Agents Engineer

As a Senior Forward Deployed AI Engineer on our Enterprise team, you'll be the t...

Location

United States , San Francisco, CA; New York, NY

Salary:

216000.00 - 270000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Job Responsibility

Customer Integration & Deployment: Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
Deploy and configure AI models and agents within customer security and compliance boundaries
AI Agent Development: Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
Architect multi-agent systems that orchestrate between different models, tools, and data sources
Implement evaluation frameworks to measure agent performance and iterate toward business objectives
Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement
Prompt Engineering & Optimization: Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
Build and maintain prompt libraries, templates, and best practices for customer use cases

What we offer

comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
commuter stipend (may be eligible)

Fulltime

AI Software Engineer - Comet Agents

Perplexity is seeking an energetic engineer to join our highly driven Comet Agen...

Location

United States , San Francisco

Salary:

210000.00 - 385000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

Strong foundational familiarity with the full AI product stack
Proficiency in Python (bonus points for TypeScript, Go, and/or Rust)
Significant experience in at least one of the following areas: Context engineering and tool interfaces for frontier AI models
Post-training and reinforcement learning (particularly for multimodal models)
Browser technologies (CDP, Playwright, extension development, etc.)
Strong product intuition and taste for user experience excellence
Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership
A passion for shipping products that surprise and delight

Job Responsibility

Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space
Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase
Ensure a high craft and quality bar, in both AI agent performance and user experience
Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into Comet agents and vice-versa
Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team

What we offer

equity
health
dental
vision
retirement
fitness
commuter and dependent care accounts

Fulltime

Senior Software Engineer, Backend — Frontier Data

The Frontier Data team builds the data and systems that power Scale’s most advan...

Location

United States , San Francisco; New York

Salary:

216200.00 - 270250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of full-time software engineering experience (post-graduation)
Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability
Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services)
Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)
Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar
Comfort working close to AI/ML systems (production experience welcome
curiosity and strong fundamentals also valued)
Proficiency with SQL and modern database-backed application development

Job Responsibility

Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment
Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability
Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces
Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity
Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems
Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization
Raise the engineering bar through design reviews, code reviews, and pragmatic best practices

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity grant
commuter stipend

Fulltime

Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI

Scale AI is the data foundation for AI, helping organizations build and deploy r...

Location

United States , San Francisco; New York

Salary:

218000.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases
Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience
Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design
Proven proficiency in Python, including writing production-quality, testable, and maintainable code
Experience building systems that integrate models with external tools, APIs, databases, and services
Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints
Strong communication skills and comfort working in customer-facing or cross-functional environments

Job Responsibility

Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases
Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints
Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings
Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs
Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems
Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage
Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
commuter stipend

Fulltime

Sr. Principal Engineer Software (Unit 42)

The Unit 42 Engineering team specializes in providing tools enabling threat rese...

Location

United States , Connecticut

Salary:

126000.00 - 204500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

In depth knowledge of Modern AI tools and techniques
Experience building AI based Agents using frontier models such as Gemini, Claude, etc
Foundational knowledge of Python and SQL, with an eagerness to learn and work with various database technologies, including non-relational databases like Elasticsearch, Cassandra, BigQuery, or similar
Familiarity with containerization concepts, ideally with some exposure to Docker and container orchestration tools like Kubernetes
Solid programming skills, with the ability to contribute to the development and implementation of features under guidance
Understanding of REST APIs and how to integrate with them
Basic understanding of queuing technologies such as RabbitMQ or Pub/Sub, and an interest in learning to build solutions using these technologies
Good written and verbal communication skills, with a willingness to collaborate effectively in a team environment
Familiarity with front-end frameworks such as React is a plus
Exposure to cloud environments like AWS or GCP is desirable

Job Responsibility

Assist in the development and implementation of features and integrations to support threat data collection, analysis, and countermeasure creation
Collaborate with the team to implement REST APIs and workflows, learning about integration with various data sources such as SQL, NoSQL, BigQuery, and document stores
Contribute to the development and maintenance of frameworks that support threat researchers, gaining experience with tooling and automation to improve efficiency
Work with senior team members to understand technical dependencies, document technical specifications, and support integration with existing systems
Participate in the deployment process, gaining hands-on experience with modern tools such as Git, CI/CD (Gitlab CI, Docker, Airflow, Kubernetes), and containerization

Fulltime

New

Researcher

Microsoft Research Asia Pacific (MSR Asia), established in 1998, is a leading re...

Location

China , Beijing

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's, Master's, or PhD degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Candidates with strong quantitative backgrounds in fundamental disciplines — such as Mathematics, Physics, or Statistics — are equally encouraged to apply
Solid foundation in mathematics (e.g., linear algebra, probability, optimization) with demonstrated analytical and problem-solving skills
Proficient programming skills in one or more of the following: Python, C/C++, or other mainstream languages
Strong self-learning ability and intellectual curiosity, with a track record of quickly mastering new domains, tools, and technologies
Professional working proficiency in English, both written and verbal, sufficient for authoring technical papers, documentation, and cross-team communication
Excellent interpersonal and communication skills, with the ability to collaborate effectively across disciplines, teams, and geographies — both within Microsoft and with external partners and the research community

Job Responsibility

Conduct foundational and frontier research in Large Language Models (LLMs), Multimodal Large Language Models, Agentic AI, and AI Systems/Infrastructure — pushing the boundaries of what is possible in model capability, efficiency, and reliability
Design, develop, and evaluate next-generation AI models and systems, from pre-training and post-training methodologies to novel architectures and scalable inference solutions
Conceive and build AI-native products, prototypes, and demos that showcase breakthrough capabilities and translate research insights into tangible user experiences
Collaborate with cross-functional teams across Microsoft — including product engineering, applied science, and platform groups — to transfer cutting-edge research and models into production-quality products at scale
Publish influential research at top-tier venues and contribute to the broader research community through open-source releases, technical blogs, and industry engagement
Identify high-impact research directions by staying at the forefront of the rapidly evolving AI landscape, proactively proposing new initiatives that align with Microsoft's mission and product strategy

Fulltime

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Frontier Agents Engineer

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