Design, develop, and deploy AI/ML solutions that support Magna’s legal and medical platforms.
Translate business needs into scalable machine learning models and automation workflows.
Work closely with data engineers, software engineers, and product managers to bring AI products from prototype to production.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they can provide strategic advantages to their clients.
Design and deliver scalable AI systems that connect models, data, and products.
Turn research prototypes into secure, reliable, production-ready services.
Build pipelines and serving layers that power adaptive, real-time features.
KnowBe4 is a cybersecurity company that puts security first, offering an AI-driven Human Risk Management platform. They empower over 70,000 organizations worldwide to strengthen their security culture and transform their workforce into their strongest security asset.
Work side by side with clients, PMs, and Architects to scope and deploy AI systems.
Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases and related tools.
Debug relentlessly and optimize for reliability in production, not just elegance in code.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs.
Architect and implement robust application integrations using Python, JavaScript, or similar languages.
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.
Atlassian aims to unleash the potential of every team through its software products designed for all types of work. They value the unique contributions of all Atlassians and do not discriminate based on various factors, ensuring an inclusive culture.
Design and implement advanced GPU virtualization solutions.
Manage and optimize large-scale GPU and HPC clusters.
Collaborate with data science and engineering teams to optimize AI models.
Jobgether is a company that connects job seekers with potential employers. They use AI-powered matching to ensure applications are reviewed quickly and fairly, and their system identifies top-fitting candidates for hiring companies.
Architect, build, and deploy LLM-powered applications that augment and automate key workflows.
Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.
Develop AI-driven tools that create measurable business impact — improving efficiency, accelerating innovation, and driving revenue growth.
Sierra Studio connects talented Brazilian professionals with exciting career opportunities in a highly-vetted small community of growing companies in the US. They specialize in enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust with over 250 people.
Design, build, and operate customer-facing features integrated into core product workflows.
Build and maintain internal services that provide stable, reusable interfaces for other engineers.
Bring AI workflows to production with observability, fallback strategies, and consideration for cost.
Turquoise Health aims to simplify healthcare pricing, increase transparency, and lower costs. They are a Series B startup backed by top VCs with a passion for improving healthcare and a team of ambitious and well-rounded individuals.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Own complex, full-stack AI solutions end-to-end, from applied research to production deployment.
Set technical direction for ambiguous and high-impact use cases, while scaling the AI systems.
Mentor others, lead architectural decisions, and deepen Komodo’s AI-first culture.
Komodo Health is dedicated to reducing the global burden of disease by leveraging data. They have built the Healthcare Map, the industry’s largest view of the U.S. healthcare system. At Komodo, employees are ambitious, supportive, and passionate about delivering on its mission.
Build AI-Powered Features: Design, develop, and deploy production-grade AI applications that solve real customer problems.
Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency and high reliability.
Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks.
Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations. They help organizations take control of spend and save money as a remote-first company with a big heart and a strong ambition to modernize the way organizations manage business spend.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Design, develop, and deploy agentic AI solutions for clients.
Build multi-agent systems and integrate models with enterprise systems.
Collaborate with clients and engineers to create scalable solutions.
AHEAD builds platforms for digital business, weaving together advances in cloud infrastructure, automation, analytics, and software delivery to help enterprises deliver on digital transformation. They prioritize creating a culture of belonging where all perspectives are valued and heard.
Focus on data ops, ML development pipeline, logging & aggregation.
Torc has been a leader in autonomous driving since 2007. Now a part of the Daimler family, they are focused solely on developing software for automated trucks to transform how the world moves freight. Their culture is collaborative, energetic, and team focused.
Architect enterprise-grade AI systems using LLMs and multimodal models.
Design end-to-end pipelines for data ingestion, model training, and deployment.
Define engineering standards for MLOps and data quality.
Jobgether connects job seekers with companies using AI-powered matching. They focus on quick, objective, and fair reviews of applications, but do not mention employee count or company culture.
Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries.
Architect and lead the development of agentic workflows and fine-tuned models for the automation of new and existing security operations processes.
Establish ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models.
Design scalable systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Develop and deploy computer vision models for facial recognition, object detection and scene categorization.
Build scalable pipelines for processing large volumes of image data and generating structured metadata.
Design and implement recommendation systems leveraging behavioral analytics and transformer-based models.
Jobgether uses an AI-powered matching process to connect candidates with companies. They ensure applications are reviewed quickly and fairly, and their system identifies top-fitting candidates for the hiring company.
Design, develop, and deploy AI-driven applications and services.
Build and integrate LLM-based solutions using frameworks such as LangChain.
Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions.
CI&T are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Designing, developing, and deploying generative AI models.
Architecting and building agentic systems with autonomous decision-making capabilities.
Integrating generative AI and agentic solutions into existing products and services.
Jobgether is a partner company that focuses on connecting talent with the right job opportunities. Their AI-powered matching process ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.