Staff 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

Senior Staff Engineer

GEICO is seeking an experienced Engineer with a passion for building high-perfor...

Location

United States , Chevy Chase

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency and specialization with at least two modern languages such as Java, Python, GO, or C# including object-oriented design
8+ years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production
A track record of turning research ideas into working products with measurable outcomes
Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Strong understanding of retrieval-augmented generation (RAG), prompt engineering, text-to-structure extraction, and vector database design
Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features
Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
Experience mentoring engineers and helping others grow in AI, LLM, an agent-based system design

Job Responsibility

Focus on multiple areas and provide leadership to the engineering teams
Partners with engineering teams, data scientists, and product leaders to design, build, and scale AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience
Experiment rigorously: define hypotheses, run evaluations, measure impact, and refine models in production
Lead through technical influence, providing technical direction and mentorship on AI architecture, LLMs, agent-based development, experimentation, and deployments across multiple teams
Set standards for AI reliability, interpretability, and governance tailored to application domains and regulatory constraints
Stay on the frontier of AI capabilities continuously evaluating new tools, models, and frameworks to apply responsibly in application domains
Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges
Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems
Utilize programming languages like Python, C#, Java or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

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

Staff Machine Learning Engineer

Orbital uses AI to build data center hardware that outperforms the competition. ...

Location

United Kingdom , London

Salary:

Not provided

Orbital

Expiration Date

Until further notice

Requirements

5+ years of professional experience in ML/AI research or engineering
OR a relevant PhD + 2 years of professional experience in ML/AI research or engineering
Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
A genuine interest in building AI systems that enable breakthrough scientific and industrial applications

Job Responsibility

Set the technical bar and ensure engineering excellence
Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
Drive technical decisions on model selection, training approaches and deployment strategies
Deliver high-impact AI projects across diverse domains
Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
Rapidly upskill in new technical areas through close collaboration with domain experts
Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
Push the frontier of ML research

Fulltime

New

Customer Success Architect - AI Business Process Solutions

The Customer Success Architect (CSA) for AI Business Process Solutions helps ent...

Location

Singapore , Singapore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. Experience must include hands-on delivery with Microsoft business-applications and low-code/agent platforms — Dynamics 365 Customer Engagement, Power Platform, and Copilot Studio or Azure AI Foundry — including demonstrated hands-on agent building.
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
4+ years experience working in a customer-facing role (e.g., internal and/or external).
4+ years experience working on technical projects.
Technical Certification in Microsoft Cloud Technologies (e.g., Azure, AI, Power Platform, D365 and security certifications).
Demonstrated experience building, testing, and deploying agents in Copilot Studio and/or Azure AI Foundry.
Hands-on delivery experience with Dynamics 365 Customer Engagement and/or Power Platform (Power Apps, Power Automate, Dataverse).
Relevant Microsoft certifications such as PL-600 (Power Platform Solution Architect), PL-200, the Dynamics 365 / MB-series, and AI-102.

Job Responsibility

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking).
Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction.
Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks.
Executes work in compliance with industry and Microsoft guidelines and procedures.
Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals.
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets.
Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage.
Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities.
Provides feedback to Unified Delivery Team on VBDs to refine and further develop content.
Proactively identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation.

Fulltime

Product Manager, Applied Research

Luma's mission is to build unified general intelligence that can generate, under...

Location

United States , SF Bay Area

Salary:

Not provided

Luma AI

Expiration Date

Until further notice

Requirements

Principal or Staff-level product management experience (L6 seniority or above) with a track record of bridging pure research and ambitious product development at an AI lab or applied AI company
You are genuinely comfortable in a research environment — you can read evaluations, understand what they mean, ask the right questions, and help researchers see the product implications of their work
You've shipped products that originated in research — not just optimized existing products, but taken emergent capabilities and turned them into new product surfaces
You can build prototypes yourself — you have the technical depth to work directly with models, write prompts, test hypotheses, and validate ideas before involving a full engineering team
You operate with extremely high agency and a strong self-starter mentality — research environments are inherently ambiguous and this role has no existing playbook
You have a general manager mindset — you can evaluate research directions not just for technical novelty but for commercial viability and customer impact
You bring a mix of large-company and earlier-stage experience — you understand both the pace of a research lab and the urgency of a startup building a commercial business
You can influence without authority — researchers don't report to you, but your input on priorities needs to carry weight because it's well-informed and well-reasoned

Job Responsibility

Own the product strategy for translating Luma's frontier research capabilities into shippable features across Canvas, Agents, and the model platform
Work directly within the research team to shape priorities, ensuring model development and evaluation are informed by real enterprise needs in marketing, advertising, and entertainment
Establish and operate the feedback loops between research, product, go-to-market, and forward-deployed teams — so that market signals flow into research prioritization and research breakthroughs flow into product planning
Interpret evaluation results and research findings to identify which emerging capabilities have the highest product and commercial leverage — and make bets accordingly
Build prototypes yourself to validate product ideas before committing engineering resources — using the models directly to test hypotheses about what's possible and what customers will value
Define the product implications of research advances in multimodal understanding, generation, tool use, and agent capabilities — translating "the model can now do X" into "customers can now solve Y"
Partner with the Agent PM and Enterprise PM to ensure research priorities align with the capabilities that enterprise products and customer deployments actually need
Drive the cadence and process for research-to-product handoffs — defining what "ready to ship" means, managing the transition from research prototype to production feature, and owning the quality bar

Fulltime

Sr AI Engineer - Agentic Systems

As a core technical leader within our Agentic AI initiatives, you will shape the...

Location

United States , Anywhere

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

8+ years of relevant software engineering experience
Proven track record of technical leadership (as a Senior, Staff, or Principal Engineer) shipping complex, large-scale systems
Strong foundations in scaling distributed systems and production-grade infrastructure
Experience with LLM Platforms: Inference optimization and fine-tuning strategies
Experience with Data & Retrieval: Advanced retrieval systems and memory architectures
Experience with Agent Frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems
Experience with AI Ops: Evaluation, observability, and safety frameworks for production AI systems
Experience with Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI
Experience with Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems
Operational Excellence: Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-debt gaps

Job Responsibility

Drive Technical Strategy: Own the architectural roadmap and delivery of Dialpad’s Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems
Build & Scale: Design and deploy scalable, multi-modal AI agents capable of autonomous support, real-time voice reasoning, and secure API tool execution across complex enterprise workflows
Mentor & Influence: Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC
Partner Cross-Functionally: Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad’s long-term business strategy
Push the Frontier: Research and implement emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and cutting-edge safety/policy guardrails to keep Dialpad at the absolute forefront of the era of the agent

What we offer

Competitive salary
Comprehensive benefits
Real opportunities for growth
Cutting-edge AI tools
Robust training program
Inclusive office environment

Fulltime

Product Manager, Enterprise

Luma has built frontier multimodal capabilities — foundation models, Canvas, and...

Location

United States , SF Bay Area

Salary:

225000.00 - 325000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Staff or Principal-level product management experience (L5/L6 seniority or above) with a track record of building enterprise products in high-ambiguity environments
You’ve built successful enterprise AI applications — especially agentic products with strong real-world adoption, not just traditional SaaS
You possess functional AI/ML fluency — not just academic. You can reason about model capabilities, evals, latency/cost tradeoffs, fine-tuning vs. prompting vs. tool use, and the shape of a frontier roadmap. You are technical enough to prototype a solution on a whiteboard with a customer’s ML team and credible enough that a research lead actually wants you in the room
You operate effectively across complex cross-functional environments involving product, engineering, research, go-to-market, and customer-facing teams
You have a general manager mindset with P&L visibility and experience — you think in terms of business tradeoffs, commercial viability, and revenue outcomes, not just product metrics
You thrive in significant ambiguity with extremely high agency and a strong self-starter mentality — this is the highest-priority trait for this role
You bring consultative PM skills and the ability to play an advisory role with enterprise customers, asking clarifying questions about needs and commercial viability rather than immediately saying yes to requests
You have a mix of large-company and earlier-stage startup experience, and can work in extremely unstructured environments with limited scaffolding
You can partner with and influence research teams in product development environments, helping ensure frontier model capabilities are shaped by market needs

Job Responsibility

Define product opportunities across enterprise segments by identifying customer profiles, workflows, jobs-to-be-done, and unmet needs in marketing, advertising, and entertainment
Translate Luma’s capabilities across models, Canvas, Agents and APIs into clear product definitions that serve real commercial customers and generate revenue
Drive cross-functional execution across research, product, engineering, go-to-market, and forward-deployed teams within a pod-based team structure
Partner directly with enterprise customers to understand requirements, validate opportunities, and shape product direction — showing up in customer meetings to represent research, product strategy, and vision
Play a consultative product role that connects customer feedback to product strategy and roadmap decisions, complementing forward-deployed engineers and creatives rather than duplicating their work
Bridge market signals back to research and product development teams, establishing feedback loops so that model prioritization and evaluation are informed by real commercial needs
Build agentic products — not just traditional SaaS — that serve clear enterprise needs and can generate revenue immediately while scaling to serve broader demand
Operate with a GM-style mindset, making product choices that align with revenue goals, commercial viability, and practical business outcomes

Fulltime

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Staff Frontier Agents Engineer

Job Description

Job Responsibility

Requirements

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What we offer

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