Establish the technical vision for our AI product infrastructure.
Develop frameworks that make LLM integration seamless and reliable; building APIs and SDKs that allow LLMs to interface with Wealthsimple data and functionality.
Build new AI-powered product capabilities from 0 → 1; collaborating directly with product teams to bring AI features to life.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.
Designing and building AI-powered features and tooling used by customers and internal teams.
Owning fullstack solutions that include frontend, backend, and AI components.
Establishing patterns, guardrails, and examples that other engineers can safely build on.
FlowFuse is a company that builds real product features and internal tooling that apply artificial intelligence to practical user and engineering problems. They foster a remote, async-first environment across multiple time zones where pragmatic use of AI tools is encouraged to accelerate development and improve outcomes.
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.
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.
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.
Development and deployment of LLM-powered features, including summarization tools.
Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
Collaborate with medical and product teams to deliver AI features for practitioners and patients.
Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.
Work with teams to modernize platform components and refactor legacy code.
Improve APIs, frontend, backend, and CI/CD; ensure observability and security.
Establish AI-assisted development guardrails and champion these practices.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They power real-time communication, streaming, enterprise AI, and secure web applications, with over 550 professionals globally and 210+ edge locations.
Design, develop, and deploy production-grade machine learning solutions.
Work on complex ML problems and mentor junior engineers.
Contribute to building ML accelerators and best practices.
Provectus is an Artificial Intelligence (AI) consultancy and solutions provider. They help companies across industries gain a competitive edge, accelerate growth, and create new value by applying AI technologies and data-driven insights.
Build end-to-end product features across a Next.js/React frontend and a Node.js/TypeScript backend. Build AI-powered tools for cultural analysis, document processing, and content localization. Integrate with LLM APIs and observability tools, and help redesign tools into a unified chat interface.
Design and implement automated systems to monitor, detect, and mitigate security risks.
Harden cloud environments (AWS, GCP) and enforce least-privilege IAM, network segmentation, and encryption standards.
Develop security frameworks and tooling to detect and prevent LLM-specific vulnerabilities.
Luxury Presence is a digital platform revolutionizing the real estate industry for agents, teams, and brokerages. They provide websites, marketing solutions, and an AI-powered mobile platform. Founded in 2016, Luxury Presence has grown to a global team and has been ranked on the Inc. 5000 fastest-growing companies list three years in a row.
Join Zapier’s AI Tasks team, where you’ll own the core AI surfaces that make our customers’ workflows smarter. Collaborate with AI experts, product managers, designers, and platform engineers to bring LLM-native workflows to life. Build and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behavior.
At Zapier, we build and use automation every day to make work more efficient, creative, and human.
Collaborate with cross-functional teams to improve scalable AI systems.
Research, evaluate, and integrate new AI technologies for payment systems.
Build and deploy AI solutions using Python, LLM libraries, AI services, and AWS.
DLocal enables companies to collect payments in 40 emerging market countries, helping global brands increase conversion rates and simplify payment expansion. They have 1000+ teammates from 30+ different nationalities and offer a flexible, remote-first dynamic culture.
5+ years of professional software development experience, with Gen-AI preferred.
Extensive experience with Ruby on Rails and Amazon Web Services (AWS).
Ability to take extreme ownership, identify with client goals, and follow best practices.
Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, they are in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.