Staff / Principal AI Engineer Job at Inworld AI (Mountain View)

Staff / Principal Machine Learning Engineer

Our intelligent runtime must seamlessly connect to foundational models - whether...

Location

United States , Mountain View

Salary:

240000.00 - 385000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

A PhD in a relevant technical field, or a BA/BS degree with equivalent research and/or engineering experience
5+ years of combined experience in software development (Python, C++) and applied ML engineering
Demonstrated experience applying or researching ML in domains such as natural language processing, speech processing, and/or action planning
Strong foundation in data structures, algorithms, and neural network architectures
Proficiency with ML frameworks such as PyTorch

Job Responsibility

Experiment with and implement cutting-edge ML models and techniques to advance our core AI capabilities
Train, evaluate, and optimize production-scale models and systems, focusing on quality, latency, cost, and on-device constraints
Collaborate with product and backend teams to translate novel ideas and research findings into robust, production-ready solutions

What we offer

bonus
equity
benefits
relocation assistance

Fulltime

Principal Engineer for Storage Software Development

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap fo...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven track record of delivering V1 products and anchoring multiple releases in storage product development
Demonstrated ability to handhold customers and played role of trusted advisor for their technology decisions
Bachelor's or master's degree in computer science, Information Systems, or equivalent
Typically, 15-20 years' experience
Expertise in multiple software systems design tools and languages
Strong analytical and problem-solving skills
Designing software systems running on multiple platform types
Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools
Excellent written and verbal communication skills
mastery in English and local language

Job Responsibility

Set technology direction for broader engineering team on next generation storage involving multiple technologies such as object, file & AI ready workloads
Ability to detail out multi release delivery content from high level vision for the products
Help leadership and Product Management to understand finer details on contemporary technological trends
Inspire engineering team to question the status quo and make bold moves on technology roadmap and deliverables
Designs enhancements, updates, and programming changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools
Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution
Writes and executes complete testing plans, protocols, and documentation for assigned portion of application
identifies and debugs, and creates solutions for issues with code and integration into application architecture
Leads a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned systems portion or subsystem
Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Staff Product Designer, AI

FloQast is at the forefront of the accounting industry, providing an AI-powered ...

Location

United States , Los Angeles; San Jose

Salary:

164000.00 - 246000.00 USD / Year

FloQast

Expiration Date

Until further notice

Requirements

7+ years of professional experience designing and shipping high-quality, complex SaaS or enterprise products at scale
Deep professional history in enterprise product design
World-class portfolio showcasing exceptional strategic thinking, interaction design, and visual polish, particularly on large-scale data applications, complex workflows, or platform-level tooling
Proven experience successfully leading and shipping product initiatives from 0-1 that became core components of the platform
Mastery of design and prototyping tools (e.g., Figma)
Deep experience contributing to robust design systems used by multiple teams
Advanced proficiency in AI-powered tools (e.g., Figma Make, ChatGPT/Gemini/Claude, etc.) to accelerate knowledge, quality, collaboration, and delivery
Expert knowledge in designing intelligent, AI-driven experiences, including establishing user controls, building trust, translating complex models into user value, and addressing ethical implications
Exceptional strategic collaboration and organizational influencing skills
Proven ability to articulate and defend design rationale to executive leadership

Job Responsibility

Define and drive the long-term design vision and strategy for major, cross-functional product domains within the FloQast platform
Act as the principal designer translating complex AI capabilities and enterprise requirements into intuitive, high-trust, and scalable experiences
Partner closely with Product, Design, and Engineering Leadership to define the product roadmap and architecture
Set the bar for design quality across the entire platform and guide the evolution of the design system
Design and lead high-impact research initiatives that deepen the organization's understanding of users' unmet needs
Own execution on the most complex, ambiguous projects, driving them to completion
Mentor and coach other designers on the team in strategy, execution, technical feasibility, and cross-functional leadership
Proactively influence stakeholders across the organization, effectively communicating complex design problems, rationale, and solutions to executive leadership and large cross-functional teams

What we offer

Medical
Dental
Vision
Family Forming benefits
Life & Disability Insurance
Unlimited Vacation

Fulltime

Staff Security Engineer

At hyperexponential, we’re building the AI-powered platform that enables the wor...

Location

United Kingdom , London

Salary:

Not provided

hyperexponential

Expiration Date

Until further notice

Requirements

Built or significantly contributed to security programmes from the ground up, establishing foundational security controls, compliance readiness, and incident response capabilities
Designed and implemented security architecture for cloud-based distributed systems (AWS or equivalent), including multi-account strategies, identity and access management, network security, and data protection
Driven technical security improvements by writing code, building tools, and implementing controls that scaled with company growth
Integrated security into development workflows through DevSecOps practices including automated testing, secrets management, container security, and infrastructure-as-code security
Led or supported compliance initiatives (SOC2, ISO27001, GDPR, or similar), mapping technical controls to compliance requirements and guiding teams through audit cycles
Built trust with engineering teams by contributing technically and making security collaborative and frictionless
Balanced security rigor with business goals, making risk-based trade-offs that enabled growth while protecting customers and the business
Evaluated security implications of AI/ML systems, including understanding AI-specific risks and implementing controls to secure them

Job Responsibility

Build hx's security programme from the ground up, setting direction for security architecture, compliance, and incident response as we scale globally
Design and implement security controls across AWS cloud infrastructure, Kubernetes workloads, and our multi-product platform, ensuring systems are secure by design
Integrate security into engineering workflows by embedding automated security testing, vulnerability management, and threat detection into CI/CD pipelines without slowing teams down
Lead or contribute to compliance initiatives (SOC2, ISO27001) by implementing technical controls and working cross-functionally with legal, engineering, and business teams to enable enterprise sales
Build security automation and tooling by writing code and scripts that scale security practices, detect vulnerabilities, and enforce policies efficiently
Partner with Engineering Managers, Principal Engineers, and Product Managers to embed security thinking early in design and architecture decisions
Act as a trusted voice in critical moments: responding to incidents, unblocking teams on security questions, and keeping high-stakes initiatives secure and on track
Assess and secure AI-powered systems across hx's platform, implementing controls that enable safe adoption of AI while mitigating risks like prompt injection, data leakage, and model vulnerabilities

What we offer

£5,000 training and conference budget for individual and group development
25 days of holiday plus 8 bank holidays (33 days total)
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life
Individual wellbeing allowance via Juno
Private healthcare insurance through AXA
Income protection and Life Insurance
Cycle to Work Scheme
Top-spec equipment (laptop, screens, adjustable desks, etc.)
Regular remote and in-person hackathons, lunch and learns, socials, and game nights

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

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

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Machine Learning Engineer - AI Assistant + Autonomous AI Agents

Glean is looking for senior engineers who will provide expert-level individual c...

Location

United States , San Francisco Bay Area

Salary:

240000.00 - 300000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

2+ years as a Staff Engineer, Principal Engineer, or equivalent
5+ years of industry experience in AI or Machine Learning Engineering
Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
Proven ability to design, build, and ship production-ready systems
Proficiency in your ML framework of choice
Strong coding skills (Python, Go, Java, C++, ...)
Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features

Job Responsibility

Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
Drive technical strategy and mentor other engineers, raising the technical bar across the team
Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
regular events
healthy lunches daily

Fulltime

Sr. Principal Engineer, AI

You are a Senior Principal Engineer who is both AI-native and relentlessly produ...

Location

United States

Salary:

214000.00 - 303000.00 USD / Year

Brightwheel

Expiration Date

Until further notice

Requirements

Foundational AI Depth: deep intuition for why models fail, gained from experience that predates the LLM boom
10+ Years of Engineering Excellence: end-to-end ownership of large, business-critical systems
Strategic Architecture: experience formulating technical strategy at the organization or department level
The "Player-Coach" Standard: a track record of mentoring Staff and Principal engineers
Production AI at Scale: a proven track record of shipping AI-powered products to production

Job Responsibility

Own outcomes end-to-end
Define the AI technical direction
Make build-versus-buy decisions
Lead by implementation
Create the paved highway
Raise the bar across Engineering and Product

What we offer

Offers Equity
Comprehensive medical, dental, and vision coverage
Generous paid parental leave
Flexible PTO
Local retirement or savings plans (e.g., 401(k) in the U.S.)

Fulltime

Staff / Principal AI Engineer

Inworld AI

Location:
United States , Mountain View

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 13, 2026

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