This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Kamiwaza is seeking a Senior Software Engineer (MTS) to architect and build core platform components that enable seamless GenAI deployment for enterprise customers. - Design and develop foundational systems across GenAI serving infrastructure, model management, distributed systems, cluster orchestration, data pipelines, APIs, and service front ends. - Play a critical role in delivering a secure, scalable, and exceptional developer experience while bringing cutting-edge GenAI capabilities into production. - Ideal for an engineer who thrives on building complex systems, thinking in architectures, and turning emerging GenAI techniques into reliable enterprise-grade infrastructure. Qualifications - 5+ years of professional software engineering experience building and scaling complex platforms or distributed systems - Strong proficiency in Python, including designing, developing, and debugging production-grade services - Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements - Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals - Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions - Excellent collaboration and communication skills with a strong sense of ownership and accountability Requirements - BS or MS in Computer Science, Software Engineering, or a related field - Open source contributions related to GenAI, distributed systems, or data orchestration - Experience with cloud networking (DNS, VPC configuration, infrastructure security) - Strong quantitative background (math, physics, ML, or related fields) - Experience using GenAI tools to augment development workflows - Familiarity with enterprise software development lifecycles from architecture through post-deployment support Benefits - Be a key contributor to the GenAI revolution, shaping how enterprises adopt next-generation technology. - Remote-First Culture: Based in Colorado, but work from anywhere with the tools and support you need. - Expert Founders with Successful Exits: Our leadership team brings experience and a relentless enthusiasm for GenAI innovation. - High-Autonomy Environment: Flat organizational structure, transparent communication, and minimal red tape. - Competitive Compensation & Equity: Own a piece of our high-potential, well-funded startup. - Comprehensive Benefits: We offer low-deductible medical plans, dental and vision coverage, disability and life insurance, 401(k) with 4% match, flexible spending accounts, health savings accounts, paid time off, and remote work support. How to Apply Ready to build the foundation of the GenAI revolution? Please send your resume to letsbuild@kamiwaza.ai . Include GitHub (or equivalent) code samples, a system design you’re proud of, and any evaluation or benchmark work that demonstrates your technical rigor. P.S. If you use GenAI to craft your application, we’ll probably find out — and we’d love to learn more about how you did it! Compensation This role offers a base salary between $150,000 and $250,000, plus equity and benefits. Actual compensation will reflect an individual’s experience, impact, and location.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join Vor Systems as our first dedicated AI hire to build the reasoning layer for utility-scale energy projects. You will automate complex regulatory and financial workflows, processing messy real-world data to accelerate clean energy deployment. This is a high-impact, founding role working directly with a proven leadership team from DoorDash, Meta, and Amazon. - Design and build core agentic workflows that plan, execute, and verify multi-step regulatory and financial analyses for energy infrastructure. - Develop document intelligence pipelines on Modal to process multimodal inputs, including engineering schematics, site plans, and complex legal leases. - Implement rigorous validation and evaluation frameworks to ensure LLM outputs meet the high correctness standards required for infrastructure data. Qualifications - Proven experience shipping production LLM-powered systems, with deep knowledge of retrieval, tool use, and context construction within larger platforms. - Highly proficient in Python and comfortable working with async or GPU-backed systems such as Modal, vLLM, or custom agent orchestration frameworks. - Exceptional at handling messy, real-world data from legal and financial domains while maintaining a strong focus on system reliability and observability. Company Description - Vor Systems – Gigascale Capital-backed energy AI startup

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a highly experienced Lead AI Engineer with expert-level proficiency in Python and machine learning to guide our AI initiatives and mentor a talented engineering team. As a technical leader, you will architect and oversee the development of innovative AI solutions, ensuring best practices and high standards across all projects. - Architect, design, and lead the development of advanced machine learning models and AI systems using Python. - Provide technical leadership and mentorship to a team of AI/ML engineers and data scientists. - Oversee end-to-end project lifecycles: from data collection and preprocessing, through model development, to deployment and monitoring. - Collaborate with product managers, business stakeholders, and engineering teams to define AI strategy and translate business objectives into technical solutions. - Establish and enforce best practices for coding, model validation, versioning, and reproducibility. - Review code, provide constructive feedback, and ensure high-quality deliverables. - Stay abreast of the latest research and advancements in AI/ML, and drive the adoption of new technologies and methodologies. - Present technical concepts and project progress to both technical and non-technical audiences. Qualifications - 5+ years of experience in AI/ML engineering, with at least 2 years in a technical leadership or lead role. - Expert-level Python programming skills and deep familiarity with ML libraries (NumPy, pandas, scikit-learn, TensorFlow, LangChain, PyTorch, etc.). - Demonstrated experience architecting and deploying production-grade machine learning systems. - Strong understanding of data engineering, feature engineering, and big data tools. - Experience with cloud platforms (GCP preferred), containerization (Docker, Kubernetes), and MLOps practices. - Excellent communication, leadership, and team management skills. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Requirements - Experience with NLP, computer vision, or generative AI models. - Familiarity with CI/CD pipelines and infrastructure automation for ML projects. - Knowledge of Agentic frameworks, and some experience building agents from scratch for enterprise use cases. - Contributions to open-source AI/ML projects or published research. Benefits - Work with a passionate team making a real impact in multiple industries, whether it be retail, banking, government, pharma, energy or agriculture. - Grow your skills through ongoing training and development. - Thrive in a dynamic, inclusive, and innovative environment. - Be part of the TEKsystems Global Services success story - there’s never been a more exciting time to join us. - Opportunity to collaborate with Google Experts for projects and ideation. - Access to ongoing professional development and leadership opportunities. Job Type & Location This is a Permanent position based out of Baltimore, MD. Pay and Benefits The pay range for this position is $133,100.00 - $199,700.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. - Medical, Dental, and Vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life and AD&D for employee and dependents) - Short and Long-Term Disability - Health Spending Account (HSA) - Transportation Benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Mar 13, 2026.

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. We are seeking a Division Vice President, AI Solutions & Foundation Models, who will serve as the leader for the fastest-growing part of TaskUs. This is a critical, executive-level leadership role responsible for owning the end-to-end success of the division - from GTM strategy and sales growth to operational excellence and cutting-edge research in both Generative and Embodied AI. The successful candidate will be a proven entrepreneur-operator, adept at both growing and running a high-stakes, specialized business within the evolving AI ecosystem. You will be the internal and external face and voice of TaskUs's commitment to making AI models—from Large Language Models (LLMs) to Autonomous Robotics—helpful, honest, and reliable. Key Responsibilities: 1. Business & Financial Leadership - Own P&L and Growth: Drive the AI Solutions business to achieve aggressive revenue targets in new incremental bookings in 2026. - GTM and Sales: Define and execute the global GTM strategy. Lead efforts to expand the portfolio with existing clients and secure new foundational model builders (text and multimodal), Mag7, and Fortune 500 accounts. - Executive Relationships: Leverage existing relationships with key decision-makers in top-buying companies (including Robotics and Autonomous Systems firms) to open doors and secure major commitments. 2. Specialized Operations & Delivery - Operational Vision: Set the strategic vision for a complex hybrid operating model that combines TaskUs FTEs and freelance "Taskers" across generalist and specialist domains, including math PhDs, linguists, and computer vision specialists. - Multimodal Data Capture: Develop and scale specialized programs for large-scale egocentric video collection, 3D spatial annotation, and human-in-the-loop (HITL) workflows for physical AI. - Leadership and Management: Lead and scale the core division teams, including Specialized Operations and Data Quality. Drive hiring and development to build out the team in H1 2026. - Client Partnership: Act as the ultimate operational point of contact and escalation for strategic clients, ensuring operational delivery exceeds expectations and drives strong, profitable relationships. 3. Thought Leadership & Innovation - Research & Standards: Oversee the Research function to publish novel research in AI data quality and safety. Co-create industry standards for both LLM RLHF and Robotics imitation learning with clients. - Market Presence: Be the external face of AI Solutions for TaskUs. Speak at industry events and conferences to influence executive-level decisions and enhance mindshare. - Analyst Relations: Drive efforts to ensure TaskUs is recognized as a leader in analyst reports. Secure client commitment for named case studies and testimonials. 4. Technical Strategy & Systems - Technology Ownership: Own the ML Engineering/MLOps function, ensuring the necessary tools and infrastructure are in place for safe, high-quality, and efficient multimodal data programs, including video ingestion and frame-accurate labeling. - Systems Thinking: Apply systems thinking to relentlessly seek cross-cutting process and technological enhancements to boost program performance and client success globally. Required Qualifications: - Experience: 12+ years of progressive leadership experience in enterprise client management, operations (in a leadership role), or top-tier consulting, with a focus on data quality, advanced AI services, or autonomous systems development. - Domain Expertise (The Maven): Deep domain knowledge of Generative AI and Embodied AI data quality techniques, including hands-on experience running, buying, or selling data services for LLMs and Multimodal/Robotics Foundation Models (e.g., egocentric video, 3D annotation). Must be at a conference keynote speaker level of expertise. - Operational Acumen (The Operator): Proven track record of building and running complex data programs (e.g., imitation learning pipelines, RLHF) and expertise in enabling hybrid operating models with full-time and crowd/freelance contributors. - Commercial Acumen (The Seller): Demonstrable success in growing a business in the AI/Tech space, with a history of hitting aggressive bookings targets specifically with foundational model builders and emerging Robotics/Autonomous Systems leaders. - Technical Visionary: Ability to direct the strategy for MLOps and data orchestration tools, navigating the infrastructure requirements for both massive-scale text processing and high-bandwidth video ingestion. - Leadership (The Leader): High-EQ leader, operator, and negotiator with a proven ability to influence in a matrixed organization and rally global teams without direct line management. Location: - US - Remote - Traveling - 30% Salary range: $180,000 - $230,000 + bonus + equity plan How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. EEO: TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/.