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

Staff AI Developer Productivity Engineer

This is a staff-level, hands-on role at the intersection of Developer Productivi...

Location

United Kingdom , London OR Chester

Salary:

Not provided

Equals Group PLC

Expiration Date

Until further notice

Requirements

8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps)
Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js
Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality
Solid understanding of CI/CD, test strategy and code-quality tooling
able to design fast inner loops and reliable pipelines
Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases
Excellent communication and influence skills
comfortable enabling teams via docs, workshops and remote office hours
A role model for our values: Make it happen
Succeed together

Job Responsibility

AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes
Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time
Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes
Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes
run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments
productionise successful approaches
Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates
Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams
measure usage and satisfaction and iterate

What we offer

25 days holiday per year + your birthday off
Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development
Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere
GetActive with Aviva - Health and Wellbeing discounts on services and products
Interbank currency rates on travel money and international transfers
Bupa Private Healthcare
Free Eye Test and £50 up to the cost of glasses
EAP Service - Mental Health Services
Life Assurance Policy - x3 annual salary
Contributory pension scheme

New

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

Member of technical staff - Research - Agent

About H: H exists to push the boundaries of superintelligence with agentic AI. B...

Location

France; United Kingdom , Paris; London

Salary:

Not provided

H Company

Expiration Date

Until further notice

Requirements

Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from conception to production
Education / Publication: Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science
Core Expertise: Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs)
Soft Skills: Collaborative: Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment
High-Impact Communicator: Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly
Mission-Driven: Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI

Job Responsibility

Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs)
Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents. This includes both the foundational infrastructure and the novel algorithms, reward models, and sophisticated training environments
Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. You will own system reliability, scalability, and observability for our entire research infrastructure
Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. You will establish and enforce engineering standards, tooling, and best practices for both code and research design
Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle

What we offer

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development

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

Member of Technical Staff, Agent Code

Code-generating LLMs and autonomous agents are revolutionizing how software is b...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends
Hands-on experience with frontier LLMs and their applications in code generation or automation
Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks
Experience with distributed systems, cloud infrastructure, and scalable architectures
A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems

Job Responsibility

Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems
Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling
Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users
Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Lis Interface Engineer

We are seeking an LIS Interface Engineer to design, implement, and support integ...

Location

Ireland , Dublin

Salary:

Not provided

Proscia

Expiration Date

Until further notice

Requirements

At least 3 years of interface implementation and product development experience within a healthcare information systems vendor or provider environment
Working knowledge of HL7 standards applied to a variety of ADT, Order, and Results interface integrations and the judgment to know when to reach for AI tools to accelerate your work through unfamiliar territory
Business or technical presentation or teaching experience
Ability to own your work end-to-end and collaborate as an engaged team member—you proactively propose fixes and improvements rather than waiting to be assigned
Ability to communicate effectively and professionally with executive, technical and non-technical individuals within and outside of Proscia—your written communication is strong enough to document decisions and context for humans and for the AI tools that increasingly work alongside us
Minimum bachelor’s degree in technical field or equivalent experience preferred
Demonstrated experience with Iguana or similar interface engine (ex. Mirth Connect)—bonus if you’ve already used AI tools to write or debug interface scripts
Ability to travel (approximately 10-20%) across the EMEA region
Familiarity with REST APIs
Experience building with or on top of LLMs, AI agents, or agentic pipelines

Job Responsibility

Evaluate client information systems that need to interface with the Concentriq image management system, including anatomic pathology laboratory information systems (AP-LIS), interface engines, or other middleware
Implement integration solutions utilizing documented product procedures and industry best practices using AI tools to rapidly prototype, validate, and iterate on interface logic
Work with Implementation Project Manager to establish project interface milestones
Manage interface components of the project plan and ensure timelines are met
Resolve complex customer issues in creative and effective ways—you’re resourceful, whether that means deep-diving into HL7 specs, leveraging AI to accelerate your analysis, or bridging a gap between business context and technical constraints
Educate customers on Proscia’s interface implementation process, including the integration framework and specification review
Educate customers on application and interface support
Assist customers with HL7 message review and initial testing, bringing modern tooling and thoroughness to validation
Develop and maintain interface implementation methodology and supporting materials, documenting decisions and context clearly so that a colleague and an AI agent could pick up where you left off
Provide second-level support for complex interface-related issues

What we offer

Competitive pay
Savings, schedule, and insurance options that promote long-term health and personal growth

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

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

Select Country

Staff Frontier Agents Engineer

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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