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Job Description AI Engineer – GenAI, Autonomous Agents & Data Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are hiring an AI Engineer specializing in Generative AI and agentic systems to drive enterprise innovation across data and AI platforms. Key Responsibilities: • Build and scale AI agents and GenAI-driven applications, • Develop pipelines integrating AI with enterprise data platforms, • Ensure system scalability, performance, and governance, • Strong background in AI/ML and GenAI technologies, • Cloud experience (AWS, Azure, GCP), • ML/AI Engineering: Python, PyTorch, LangChain, MLOps, • Data platforms: Databricks, Snowflake, Synapse, BigQuery, • Experience working with cloud/data platform architects, • Exposure to AI governance and compliance practices For more details reach at .

Alliant International University is a professional practice University committed to excellence in four areas: Education for Professional Practice, Scholarship, Multicultural and International Competence, and Community Engagement. The University provides students with the highest quality of education through excellence and innovation in academic scholarship, applied training and research, and community service, particularly to underserved populations. Through its Mission, the University's goal is to equip students with the competencies they need to effectively practice in the professional setting, provide public benefit and make an impact in their communities by addressing major contemporary social issues. Our Mission:Alliant International University prepares students for professional careers of service and leadership and promotes the discovery and application of knowledge to improve the lives of people in diverse cultures and communities around the world. Our Vision:An inclusive world empowered by Alliant alumni. Our IMPACT Values: • Inclusion:We value and engage the rich diversity of the Alliant community., • Mentoring:We provide guidance and create enabling environments for success., • Passion:We bring enthusiasm, creativity, and authenticity to our work., • Accountability:We act with integrity and responsibility in all we do., • Communication:We are responsive, transparent, and respectful in our interactions., • Teamwork:We collaborate to develop innovative solutions for our community. Application Instructions: • All individuals interested in being considered for an Adjunct position, now or in the future, must submit the following items:, • Resume/CV, • Transcript (of your highest degree obtained), • Three (3) professional references Application Description: Applicants to this position will be considered for a candidate pool encompassing one or more of the subject areas outlined in the job description. This pool will be used to identify qualified candidates for potential appointments during the 2025-2026 academic year. The California School of Management and Leadership (CSML) has a long history of more than 35 years with an alumni base spread globally. Graduates from our programs are employed in diverse industries, disciplines and positions in several types of organizations in more than 50 countries around the world. CSML is known for multicultural and multinational education to a student population with diverse backgrounds. Stalwarts such as Dr. Igor Ansoff and Dr. Efraim Turban laid the conceptual foundation of the school's academic mission in preparing tomorrow's global leaders. CSML concentrates on professional practice, applied theory and contemporary techniques. Our goal is to educate individuals who will go out into the world to accomplish great things in the communities around the world they serve. The Management School is in growth mode and plans to continue to grow the ground programs, expand in the online modality, as well as expand geographically to Alliant's other California campuses. The programs have a strong global dimension with many of the professors and students having a global background coming from different countries and having worked abroad. This multiculturalism is thoroughly integrated into the classes at CSML. Students benefit from having an accomplished cohort- many who are working professionals or international students and/or former US military. This experience creates a network that enhances the student learning environments in their programs and in co-curricular activities. Many of our doctoral students publish either by writing books or conference papers or journal articles, which further enhances their professional stature. The school offers programs at the Masters and Doctoral levels. Los Angeles Campus - MSDA- STEM - Master Science Data Analytics Program CSML is seeking qualified part-time instructors to teach in our STEM MSDA Master Science Data Analytics courses in our LA campus. Specifically, we are looking for candidates who can teach the following courses: • Foundations of Data and Decision-Making Algorithms, • Database Design Principles and Technologies, • Management and Marketing Models for Managerial Decision Making, • Essentials of Computational Science Using Python, • Data Analytics for Decision Making, • Basic Applied Statistics, • Technology Tools for Managerial Decision Making, • Advanced Programming with Python, • Architectures and Methods for Data Mining, • Big Data Tools Starting Salary: $32 hourly. You can learn more about CSML by visiting the Alliant web site at___. If you are interested in joining our team of experts or have other questions about our program, please contact us at___. CSML continually seeks subject matter experts to join our cadre of adjunct faculty. The following are the duties, responsibilities, skills and qualifications that Alliant requires from applicants for an Adjunct professor position: Pedagogical & Academic Skills: • Facilitating Classroom and Distance/Distributed Learning, • Course and syllabus preparation, • Class curriculum coordination and planning, • Assessment and evaluation of learners, • Mentoring and advising students, • Holding office hours and meeting with students, • Research/scholarship mentoring and supervision, particularly of MS theses, STEM projects, and PhD, EdD, DBA dissertations Skills: • Proficient computer skills, including proficiency with Microsoft Office programs., • The ability to work independently and be self-motivated., • High level of accuracy and attention to detail and the ability to solve problems., • The ability to explain complex requirements in clear and concise terms., • The ability to be flexible with workflow to meet the needs of the department and students and to manage multiple tasks by required deadlines., • The drive to encourage, direct, hold accountable and guide candidates toward task completion., • Must demonstrate the ability to work as an effective team member and develop trusting relationships with students and Alliant employees, as well as the Registrar's Office and various academic departments., • Culturally competent and ability to communicate and interact effectively with diverse people., • Highly motivated, focused and results oriented., • Ability to exercise discretion and tact in all interpersonal interactions, and to maintain confidentiality., • Collaboration and partnering with other university stakeholders to support candidate success., • Ability to make administrative/procedural decisions and judgments. Technical & Subject Matter Expertise: • Advanced knowledge of data analytics, statistical modeling, and data-driven decision-making., • Expertise in machine learning, artificial intelligence, and predictive modeling., • Proficiency in data wrangling, data preprocessing, and feature engineering., • Strong command of programming languages commonly used in analytics (e.g., Python, R, SQL, Julia)., • Experience with big data technologies (e.g., Hadoop, Spark, Databricks)., • Proficiency in data visualization tools (e.g., Tableau, Power BI, matplotlib, ggplot2)., • Expertise in statistical software and libraries (e.g., scikit-learn, TensorFlow, PyTorch, SAS, SPSS)., • Familiarity with cloud platforms for analytics (e.g., AWS, Azure, GCP)., • Knowledge of database management systems, data warehousing, and ETL pipelines., • Understanding of data governance, data ethics, and privacy regulations (e.g., GDPR, HIPAA). Minimum Requirements: • Education:Master's, Doctoral or other terminal degrees from an accredited college or university, depending upon the needs of the course being taught., • Experience: 5 years' appropriate industry experience in the areas(s) of specialization and expertise required. Background Check Requirements: Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current University employees who apply for the position. Additional Information: Anti-Discrimination Policy: Alliant International University prohibits unlawful discrimination, harassment or retaliation in its educational programs, services and activities, and in employment practices, including but not limited to internal promotions, training, opportunities for advancement, terminations, relationships with outside vendors, use of contractors and consultants, and in its admission or access thereto, on the basis of race, ethnicity, national origin or descent, color, creed, religion, sex, age, marital status, disability (including physical, disease, psychiatric or psychological disability), medical condition, pregnancy, veteran status, sexual orientation, gender identification or expression, hair style or texture associated with race, or any other characteristics protected by applicable law. Alliant International University is an Equal Opportunity Employer, committed to ensuring a high quality of education through the diversity of the University community and the curriculum. Women, people of color, people with disabilities and people from other underrepresented groups are encouraged to apply, as we actively seek to increase diversity at all levels. The University will conduct its programs, services and activities consistent with applicable federal, state and local laws, regulations and orders. Applicants must currently be authorized to work in the United States on a full-time basis. Offers of employment are contingent upon the presentation of documents that demonstrate a person's identity and authorization to work in the United States, which are consistent with the provisions of the Immigration Reform and Control Act. Applicants with disabilities and applicants who require assistance completing an application may contact Human Resources at___or 858-635-4509. The California Consumer Privacy Act (CCPA) requires that we provide you with this ______.This notice is about the collection and use of your personal information.We encourage you to read this notice carefully. Governing legislation: Titles VI and VII of the Civil Rights Act of 1964, the Civil Rights Act of 1991, Title IX of the Education Amendments Act of 1972, Section 504 of the Rehabilitation Act of 1973, the Americans with Disabilities Act of 1990, the Age Discrimination Act of 1975, the regulations implementing these statutes, and applicable federal and California law. Alliant International University is a smoke and tobacco free environment. Company: Alliant International University, Inc. | Job ID: 283826

Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness. We’re looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data. • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability., • Implement frameworks, tooling, and automation to safely increase development velocity., • Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards)., • Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility)., • Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers., • Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field., • 5+ years of experience in data engineering, platform engineering, or ML engineering., • Experience working with major cloud data platforms and tools:, • Preferred experience:, • Healthcare, behavioral health, EHR systems, and/or regulated industries., • Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery., • Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling., • Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD., • Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn)., • Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs., • A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn. The below values drive our day-to-day operations. • We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves., • People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen., • No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better., • Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger., • Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow., • Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them., • There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level., • Prolonged periods sitting at a desk and working on a computer., • Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet., • Must be able to observe and communicate information on company provided laptop., • Move up to 10 pounds on occasion., • Must be eligible to work in the United States without sponsorship now or in the future. Octave is committed to pay equity. To maintain our commitment to pay equity, Octave will follow Pay Transparency regulations on all open job postings. Current Pay Transparency laws require companies to include a position's salary or hourly wage range (not including bonuses or equity-based compensation) in any internal or external job posting. This requirement extends to job postings published by a third party at an employer's request. Octave will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Octave’s legal duty to furnish information. Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future. The salary range for Geo 1 (all states, excluding those in Geo 2 or Geo 3, and D.C.) is $142,600 - $153,100. The salary range for Geo 2 (CO, HI, MD, RI) is $156,900 - $168,400. The salary range for Geo 3 (AK, CA, CT, MA, NJ, NY, WA) is $164,000 - $176,000. All Geos are eligible for equity in the form of stock options. Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&D plans. Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available. Octave offers generous Paid Time Off as well as paid parental leave benefits. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Application Instructions: Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.

About Us: Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains. We are currently seeking a talented Senior Field Application Engineer based in the USA to support our product development and customer implementation efforts. The ideal candidate is a technically hands-on problem solver who sits within the engineering team, actively supporting customers through complex integrations and translating field feedback into product improvements. * Applicants must be currently authorized to work in the United States on a full-time basis. Please note that Innatera does not provide sponsorship for employment visas (e.g., H-1B, TN) at this time. * This is a remote position; however, it requires frequent travel throughout North America to provide on-site support to our clients. Candidates must possess a valid passport and be able to travel internationally. WE WILL TRUST YOU WITH: * Bridging the gap between the market and our internal teams by actively translating client feedback and usage scenarios into actionable product improvements. * Build deep technical relationships with customer architects and engineering management, serving as their primary technical advisor * Dealing with technical questions/issues from customers, and assisting our customers in accelerating their development of our technology * Training customers (alongside the engineering teams) by organising workshops and training sessions * Help and guide customers through the design process including architecture reviews, schematic reviews, design-in support and training customers on product features. * Partner with Sales to identify opportunities and articulate the value of Innatera technology to secure wins * Collaborating actively with the SDK/EDK, architecture, and Product owner teams YOUR EXPERIENCE INCLUDES: * At least 7 years of experience in a technical customer-facing role (FAE, System Architect, or similar roles) within the Semiconductor industry * Experience with AI Embedded Applications * Experience working in a global environment, bridging the gap between customer requirements in North America and European/Western HQ engineering teams WHAT YOU NEED TO SUCCEED: * Bachelor's degree in engineering, computer science, or a related field * Great coding skills in Python, C/C++ * Knowledge of ML/AI Framework(s): TensorFlow, PyTorch * Knowledge of Embedded Development Kit(s), and an AI background * Computer architectural knowledge is a big advantage * Strong analytical and problem-solving skills * Flexibility and outstanding communication & customer service skills WE OFFER YOU: * A dynamic working environment around a fearless engineering culture, * Ambitious teams with the freedom to innovate, * A Flexible working environment (work from home policy, flexible working hours, advantageous holiday scheme), * An inclusive company culture that embraces communication, diversity, and support around holistic and personal development. Whether you’re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we’d love to hear from you! If you're ready to shape the future of technology with us, click Apply and share your story. Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know – we’re happy to support you.

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. We are seeking a highly experienced Senior Software Engineer to design, develop, and upstream-enable Cornelis Networks’ AI communication middleware. This role focuses on distributed AI workloads and enabling/optimizing collective communication libraries (e.g., NCCL/RCCL) over Cornelis Networks’ interconnects. Key Responsibilities • Design and implement performance-critical features for CCL enablement on Cornelis Networks’ fabrics., • Optimize distributed training performance across multi-node, multi-GPU configurations., • Improve GPU communication paths including GPU-direct transfers, IPC, and CPU/GPU synchronization., • Profile distributed AI workloads and identify bottlenecks across the software and hardware stack., • Tune AI frameworks such as PyTorch Distributed, TensorFlow/XLA, JAX, DeepSpeed, and Megatron-LM., • Develop benchmarks and microbenchmarks aligned with real model performance., • Contribute upstream to AI communication and distributed training projects., • Participate in design reviews, code reviews, CI, and long-term maintenance., • Prototype and validate Ultra Ethernet capabilities for AI collective communication., • Provide technical input for deployment considerations and performance validation., • Collaborate with kernel/driver, switch, performance, and systems teams., • Support advanced escalations by analyzing traces and providing robust fixes. Minimum Qualifications • 8+ years of experience in high-performance systems programming in C/C++ on Linux., • Strong experience with GPU communication stacks including CUDA/ROCm and NCCL/RCCL., • Ability to optimize distributed training performance using profiling and tracing., • Understanding of collective communication concepts and topology awareness., • Experience delivering production-quality code., • Open-source contributions in relevant areas. Preferred Qualifications • Experience with AI frameworks such as PyTorch Distributed, DeepSpeed, and Megatron-LM., • Familiarity with libfabric/OFI, UCX, and RDMA concepts., • Experience with RoCEv2 and Ultra Ethernet., • Experience building cluster-scale performance test infrastructure. Location: This is a remote position for employees residing within the United States. We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton). Hands-on production experience with JAX and/or PyTorch at scale.