MixMode is a leading provider of AI-powered cybersecurity solutions at scale, pioneering a patented third-wave, context-aware AI approach that automatically learns and adapts to dynamic environments. The MixMode platform delivers self-supervised, real-time threat detection for known and unknown threats across cloud, hybrid, and on-premises environments. Large organizations with big data workloads – including those in enterprise, critical infrastructure, US Department of War and US Intelligence Community – trust MixMode to defend their most important assets. Backed by PSG and Entrada Ventures, MixMode is headquartered in Santa Barbara, California. Learn more at www.mixmode.ai. Job Summary: We are hiring a Senior Software Engineer to enhance the reliability, performance, and scalability of our production AI systems. We value clear thinking, incremental improvement, and engineers with real production incident experience. This role focuses on understanding, refining, and strengthening existing distributed services across application, database, and container orchestration layers. You will collaborate with ML researchers to make our systems more robust, maintainable, flexible, and scalable. What you’ll be doing (responsibilities): - Own the reliability, performance, and operational health of production AI services - Refactor and harden existing systems to improve resilience, clarity, and maintainability - Diagnose and resolve issues across distributed services, data pipelines, and storage layers - Design and implement monitoring, alerting, and debugging tools for high-availability systems - Partner with researchers and engineers to productionize predictive systems at scale - Establish best practices for testing, deployment, capacity planning, and incident response - Contribute to incident response and postmortems, driving continuous improvement What you’ll need to bring (qualifications): - Ability to travel to our office in Santa Barbara, CA, a few times per year - 7+ years of professional software engineering experience - Strong proficiency in Python and at least one JVM language (Java, Scala, Kotlin) - Proven experience designing, building, and operating distributed systems in production - Strong understanding of service architecture, concurrency, resource management, and distributed failure modes - Experience operating Kubernetes deployments - Strong experience with relational databases, including query performance analysis, indexing, and connection management - Demonstrated ability to diagnose and resolve performance, scalability, and reliability issues across system layers - Experience implementing automated testing and production observability (logging, metrics, tracing) - Experience collaborating with ML or data science teams (deep ML expertise is not required) - Ability to improve system architecture and engineering practices through design, code review, and mentorship Our Interview Process: Our interview process focuses on real-world production experience and practical systems thinking. We assess how you reason about distributed systems, refactor existing code, and operate under real constraints—not abstract puzzles. We support the use of AI tools in our development, but we want to understand your capabilities first. No AI tools will be allowed for remote interviews early in the process. The process includes: - Conversations about systems you’ve personally owned, improved, and operated in production - A live refactoring and testing exercise in your choice of Java, Kotlin, or Scala, centered on improving existing code without changing behavior - A distributed systems discussion covering performance, state management, failure modes, and debugging under load - An ML production discussion focused on stabilizing and operating model-driven systems in real environments - The final stage of our interview process includes an in-person conversation at our Santa Barbara office, focused on senior-level ownership, judgment, and technical leadership We are open to hiring great talent who may have qualifications above or below those specifically listed in this job description. Pursuant to California law, we must display the pay range for this job. Since we are willing to hire within a broad spectrum of qualifications, we also reflect a broad pay range. The base hourly range that we are targeting for this position is $150,000-$210,000 though we can adjust based on individual qualifications. Individual salary is determined by qualifications, role, level, and location. Compensation and benefits are competitive based on industry standards. Benefits for full-time team members include: - Remote-First Work Culture - Healthcare (Medical, Dental, Vision, Accident) - Basic & Voluntary Life and AD&D - Flexible Spending Account (FSA) - 401(k) with Employer Match - Paid Holidays & Flexible Paid Time Off (PTO) MixMode provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Disability and Reasonable Accommodations | E-Verify | Right to Work Please note: MixMode does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of MixMode.

We are looking for a Senior AI Engineer to work alongside our balanced agile delivery teams on highly complex DoD projects, specifically developing AI-powered DevSecOps processes that accelerate the velocity of development and testing of our mission planning and decision support systems. Hypergiant with its partners is building innovative agentic AI solutions that leverage cloud-based AI platforms and custom model context protocol (MCP) connectors to seamlessly integrate existing capabilities and processes to orchestrate application creation . An ideal candidate is able to design and implement custom agentic workflows, build and deploy MCP connectors for containerized services, and ensure system security and reliability. This position will work alongside our infrastructure and security teams on highly complex DoD projects. Role & Responsibilities - Build and deploy custom model context protocol (MCP) connectors for new and existing services - Design and implement custom agentic workflows using cloud AI platforms - Develop server-side application logic and APIs that integrate AI capabilities with existing enterprise systems - Contribute to the development and maintenance of reusable AI component libraries and shared code infrastructure - Write high-quality code, applying best practices, coding standards, and design patterns for AI systems - Participate in the entire AI solution lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process - Participate in code reviews and ensure code quality through effective testing strategies and security validation - Collaborate with infrastructure teams, security teams, developers, designers, testers, project managers, product managers, and project sponsors - Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools - Ensure seamless integration with backend systems, cloud services, databases and messaging systems - Team with other developers, fostering a culture of continuous learning and professional growth in AI engineering Required Experience: - At least 5+ years of professional software engineering experience with a focus on Python and TypeScript/JavaScript - Proven experience building and deploying production AI systems, custom integrations, and agentic workflows using LLM-based platforms - Hands-on experience with Model Context Protocol (MCP) architecture or similar plugin/connector frameworks and workflow orchestration tools (n8n, Airflow, LangGraph) for complex AI pipelines - Demonstrated expertise with containerization technologies (Docker, Kubernetes) and cloud-native deployment patterns for scalable AI systems - Solid understanding of Amazon Web Services cloud platform including their native AI/ML services, vector databases, graph databases, and observability solutions - Experience with RESTful API design, GraphQL, and event-driven architectures across multiple LLM providers (OpenAI, Anthropic, Bedrock, Groq) - Experience with advanced prompt engineering techniques and specialized knowledge of ensemble prompting strategies for effectively combining and synthesizing outputs from multiple LLM models - Proficient with infrastructure-as-code tools (e.g., terraform) - Experience with CI/CD pipelines and automated deployment strategies - Familiarity with security best practices for AI systems, including authentication, authorization, logging, and data encryption - Strong understanding of microservices architecture and distributed systems - Proficient with version control systems (e.g., Git) and effective collaborative development workflows - Must be a US Citizen and eligible to obtain and maintain a US Security Clearance Preferred Experience: - Experience building custom LLM integrations, RAG architectures, or AI agent frameworks beyond standard implementations using frameworks such as LangChain - Familiarity with graph databases and advanced vector database optimization techniques - Experience with specialized LLM evaluation frameworks and benchmarking methodologies, including tools like LangFuse - Experience with monitoring and observability tools (Datadog, New Relic, Prometheus/Grafana) - Familiarity with design and documentation tools for creating system architecture diagrams - Experience with component development frameworks like Storybook - Knowledge of Outline or similar documentation platforms for technical knowledge management - Experience with project management and issue tracking tools such as Jira - A portfolio of past AI projects or MCP connector repositories with code samples or GitHub links - Experience auditing third-party AI services and dependencies - Familiarity with compliance frameworks relevant to AI systems (CMMC, FedRAMP) - Penchant for learning new AI technologies and frameworks, balanced with strong organizationally-minded thinking - Ability to make effective architecture decisions for AI systems and document them clearly - Design-minded attention to detail in user interface implementation for AI-powered applications - Ability to travel as needed - Active Security Clearance Clearance Requirements Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link. EEOC & Know Your Rights Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish Pay Scales & Benefits The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. Benefits include… - Paid Time Off - Paid Company Holidays - Medical, Dental & Vision Insurance - Optional HSA and FSA - Base and Voluntary Life Insurance - Short Term & Long-Term Disability Insurance - 401k Matching - Employee Assistance Program

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves serving as the technical face of PADO in the field, responsible for driving sales conversations, leading complex deployments, and ensuring customers extract maximum value from our platform. - Lead discovery sessions to architect tailored solutions for prospects; deliver compelling demos and proof-of-concept (PoC) deployments that showcase measurable ROI. - Execute end-to-end deployments across on-prem and cloud environments, integrating PADO with existing DCIM, BMS, monitoring stacks, and orchestration layers. - Partner with the sales team to close high-value agreements by translating complex infrastructure challenges into clear technical value propositions for C-suite stakeholders. - Act as the primary technical resource for key accounts, training customer teams and surfacing field insights to the product and engineering teams to shape the roadmap. - Build deployment playbooks and automation tools to scale delivery capabilities as PADO expands its global footprint. Qualifications - 5+ years of experience in data center systems engineering, solutions architecture, or technical sales within SaaS or cloud infrastructure (or a Master’s degree with 3+ years of experience). - Deep familiarity with modern data center operations, cloud platforms, and the technical complexities of compute density and workload orchestration. - Ability to engage credibly with both infrastructure engineers and executive leadership, simplifying complex technical concepts into actionable business insights. - Experience with hyperscalers (AWS, Google Cloud, Azure), AI/ML GPU clusters, high-density cooling optimization, and PUE/sustainability metrics (preferred). - A startup mindset with the ability to move fast and take total ownership in a rapidly evolving environment; comfortable with 30-50% domestic and global travel. Benefits - Competitive Salary + Meaningful Equity + Performance Incentives. Company Description PADO AI Orchestration, Inc. is committed to partnering with elite talent from diverse backgrounds to solve the world’s most pressing infrastructure challenges.

Job Description About the Role: We are looking for a talented, curious, and highly motivated Senior Conversational AI Designer to join our Voice & Sound team. The ideal candidate will breathe design and have deep expertise in Voice and Multimodal interfaces. You will join a team of experts working on end-to-end multimodal customer experiences, driving innovation in the rapidly evolving and expanding high-tech world of AI through user-centric practices and design. In this role, you will lead with vision and collaborate with other designers, researchers, technologists, and product stakeholders to craft effective and exceptional experiences through data-driven design. What You'll Do: - Lead design vision and execution for AI-based conversational and multimodal experiences, advocating usability and user-centered design principles. - Develop and promote conversation design best practice standards, reusable interactional patterns, and processes. - Deliver effective design documentation to communicate experience requirements, design principles, best practices, prototypes, and multimodal flows to convey voice forward interactions that leverage AI. - Identify opportunities for usability testing and research efforts by leading and supporting the creation of prototypes, participating in clinic sessions, analyzing, brainstorming, ideating etc. - Build strong relationships with internal stakeholders to understand priorities, collaborate on actions to implement product and service solutions, and ensure a connected end-to-end user experience. - Identify, track, and monitor industry/experience trends and drivers of customer needs and satisfaction. - Lead visualization of experiences using storyboards, customer journeys, user flows, low-fidelity wireframes and voice prototypes to illustrate vision and influence impactful experiences in AI - Balance user needs, technical constraints, and product objectives to solve problems effectively, crafting world-class multimodal user experiences. Your Skills & Abilities (Required Qualifications): - 5+ years creating conversational design experiences. - Ability to combine vision with strong creative design execution. - Strong portfolio with work samples showcasing expertise, craft, aesthetics, and depth of thought. - Experience designing for Generative or Agentive AI-powered experiences - Understanding of machine learning & natural language processing (NLP) fundamentals. - Experience incorporating research into the design process. - Subject-matter expert. Ability to work independently, be organized, self-motivated, and have attention to detail. - Excellent written, visual, and verbal communication skills.  - Proficient in common design tools (e.g.Figma, VoiceFlow, ProtoPie, etc). - Demonstrated experience documenting for voice-only, voice-forward, and multi-modal experiences - Demonstrated experience creating interactive prototypes for multimodal experiences (voice, sound, visuals, touch, chat, etc) - Familiarity with platforms such as Salesforce Service Cloud, Einstein Bots, Prompt Builder, and Google Vertex AI. What Will Give You a Competitive Edge (Preferred Qualifications): - Deep understanding of Generative AI for Conversational Experiences, foundational elements of Conversation Design, and LLMs. - Ability to communicate technical concepts to a non-technical audience (verbal and written). - Ability to work effectively within an environment that leverages robust design systems and libraries, while seeking to delight and impress users with innovative concepts and experiences. ​Compensation: - The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. - The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. - The salary range for this role is $106,000- $163,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Sponsorship: GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.). About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.