AI Engineer - 12 month contract  A leading consultancy in Zurich is looking for an experienced AI Engineer to deliver projects focused on LLMs and RAG systems in Azure or AWS. This role involves designing, building, and deploying scalable solutions for enterprise clients, working closely with stakeholders in a consulting environment. Key RequirementsProven experience with LLMs and RAG pipelines.Previous consulting/client-facing experience is essential.German language skills strongly preferred; English required.Zurich-based or willing to work onsite 2 days per week.Tech StackPythonLangChain / LlamaIndexAzure or AWS cloud servicesVector databases (Pinecone, Weaviate, FAISS, etc.)API development & integrationKey contract information:Location: Zurich, Switzerland (Hybrid, 2 days onsite)Contract: 12 months (extention likely)

Member of Technical Staff (Backend) On-site, Canada | Up to CAD $300K + Equity + BenefitsAbout the Company:Our client is a fast-scaling Series A start-up backed by top-tier investors, pioneering controllable AI video generation. With more than 30 million users and one of the world’s largest Discord communities, they are shaping the future of content creation for Hollywood studios, digital creators, and everyday storytellers.What We’re Looking For:We’re seeking a backend engineer with strong fundamentals and a passion for building scalable, distributed systems. You’ll play a critical role in designing and optimizing infrastructure that supports millions of users, ensuring reliability, speed, and seamless integration across complex pipelines.Solid Engineering FoundationsSkilled in building robust services with Python and Golang. Comfortable working on distributed systems and optimizing for performance, scalability, and fault tolerance.Exceptional Learning AbilityIn a fast-changing AI-driven environment, you’ll quickly adapt to new tools, frameworks, and methodologies - learning while shipping production-ready solutions.Technical Focus AreasDistributed systems, microservices, and high-performance backend architecture.Hands-on expertise with Python and Golang.Experience deploying and scaling services on cloud infrastructure (AWS strongly preferred).Bonus: experience with data-heavy or video-centric pipelines, prompt engineering, or optimizing workflows for efficiency.Candidate Profile:1–3 years of professional experience post-graduation.University of Waterloo background would be highly valued.Strong problem-solving pedigree - e.g., hackathon wins, Olympiads, competitive programming, or building products with significant adoption.Benefits & Perks:Highly competitive salary (up to CAD $300K) + equity.Health and 100% dental coverage.Relocation subsidies.Complimentary meals, snacks, and a vibrant office culture.5 days per week on-site - immerse yourself in a fast-paced, collaborative start-up environment.Interview Process:Introductory call (up to 30 minutes).Technical interview with senior backend engineers.Conversation with leadership and HR.Rare final follow-up if needed.Call Settings Override To From Record Yes No Always use these settings

Member of Technical Staff (Frontend) - On-site (1 day WFH), Downtown Toronto, Canada | Up to CAD $300K + Equity + BenefitsAbout the Company:Our client is a fast-growing Series A startup backed by leading investors, building next-generation AI video technology. With more than 30 million users and one of the world’s largest Discord communities, they’re enabling content creators everywhere - from Hollywood studios to TikTok influencers - to bring ideas to life through controllable video generation.What We’re Looking For:We’re seeking a frontend engineer who combines solid foundations with the ability to adapt quickly to new technologies. You’ll be responsible for designing and delivering high-quality user experiences in an environment where speed and scale matter.Solid Engineering FoundationsStrong coding skills with the ability to build, refactor, and optimize complex systems. You’ll independently ship user-facing features while working closely with design and product.Exceptional Learning AbilityFrontend frameworks, developer tools, and AI integrations are evolving quickly. We’re looking for someone who thrives on picking up new technologies and finding clarity in ambiguity.Technical Focus AreasNext.js strongly preferred.Swift/iOS and React Native experience are nice-to-haves.Ability to design and scale frontend systems that serve large user bases.Bonus points for projects with significant adoption (apps launched, open-source traction) or a background in gaming/entertainment applications.Candidate Profile:1–3 years of experience post-graduation.University of Waterloo background would be highly valued.Strong problem-solving pedigree - e.g., hackathon wins, Olympiads, competitive programming, or independently launched products.Benefits & Perks:Highly competitive salary (up to CAD $300K) + equity.Health and 100% dental coverage.Relocation subsidies.Complimentary meals, snacks, and a vibrant office culture.5 days per week on-site - immerse yourself in a fast-paced, collaborative startup environment.Interview Process:Introductory call (up to 30 minutes).Technical interview with senior frontend engineers.Conversation with leadership and HR.Rare final follow-up if needed.Call Settings Override To From Record Yes No Always use these settings

Join a company pioneering frontier foundation models in 3D, image, and video. Role: Research Engineer/ Scientist Location: London/ Munich (No Remote must be based in either city)Salary: Highly Competitive Salary & Benefits on offer D.O.E Redefine how industries from robotics and AR/VR to gaming and film generate and interact with digital content. You will design and run experiments, implement cutting-edge research, and scale models into production. ResponsibilitiesDesign and run ablations and experiments to improve performance.Evaluate and implement research papers on large-scale data.Train and fine-tune 3D and image/video foundation models.Develop demos, optimise test-time inference, and productionise models. QualificationsBachelor’s, Master’s, or PhD in CS/ML or related field.Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).Strong knowledge of generative models (diffusion, GANs, VAEs, transformers).Experience with large-scale model training and 3D representation learning (e.g., NeRF, Gaussian Splatting).

AI Evaluation Engineer $160,000 - $180,000 Remote (US-based)Are you passionate about shaping how AI is deployed safely, reliably, and at scale? This is a rare opportunity to join a mission-driven tech company as their first AI Evaluation Engineer, a foundational role where you’ll design, build, and own the evaluation systems that safeguard every AI-powered feature before it reaches the real world.This organization builds AI-enabled products that directly helps governments, nonprofits, and agencies deliver financial support to people who need it most. As AI capabilities race forward, ensuring these systems are safe, accurate, and resilient is critical. That’s where you come in.You won’t just be testing models, you’ll be creating the frameworks, pipelines, and guardrails that make advanced LLM features safe to ship. You’ll collaborate with engineers, PMs, and AI safety experts to stress test boundaries, uncover weaknesses, and design scalable evaluation systems that protect end users while enabling rapid innovation. What You’ll DoOwn the evaluation stack – design frameworks that define “good,” “risky,” and “catastrophic” outputs.Automate at scale – build data pipelines, LLM judges, and integrate with CI to block unsafe releases.Stress testing – red team AI systems with challenge prompts to expose brittleness, bias, or jailbreaks.Track and monitor – establish model/prompt versioning, build observability, and create incident response playbooks.Empower others – deliver tooling, APIs, and dashboards that put eval into every engineer’s workflow. Requirements:Strong software engineering background (TypeScript a plus)Deep experience with OpenAI API or similar LLM ecosystemsPractical knowledge of prompting, function calling, and eval techniques (e.g. LLM grading, moderation APIs)Familiarity with statistical analysis and validating data quality/performanceBonus: experience with observability, monitoring, or data science tooling

AI Solutions Engineer / AI Solutions Architect - Visual Generative AI $150,000 - $180,000 New York - 3x days WFH We’re partnered with a pioneering enterprise-grade Visual GenAI platform that has been shaping the responsible AI landscape for over five years. Backed by leading global investors and trusted by some of the world’s largest brands, this company is building the infrastructure for the next generation of safe, scalable, and brand-consistent AI-driven products and services. Now, they’re looking for a Technical AI Solutions Engineer / Solutions Architect to help enterprise customers unlock the full value of their platform. You’ll be the bridge between customers and internal teams, ensuring adoption, ROI, and long-term success.You’ll work hands-on with developers, product managers, and technical decision-makers, helping them integrate cutting-edge generative visual AI into their workflows. Why Join?Be part of a category-defining AI company that’s shaping the future of responsible GenAI.Work with globally recognized enterprise clients across multiple industries.Have a direct impact on product evolution through customer insights.Join a team at the forefront of AI innovation with deep expertise in generative visual technologies. What You’ll Be DoingOwn the post-sales relationship with a portfolio of technical enterprise customers.Guide onboarding, technical enablement, and adoption of the platform.Act as a trusted advisor, helping customers translate technical capabilities into business impact.Work directly with client engineering teams to integrate APIs and platform capabilities.Troubleshoot across the stack (APIs, model behaviour, latency, deployment).Lead workshops, demos, and training sessions for technical stakeholders.Gather and translate customer feedback into product improvements.Collaborate with Product, Engineering, Sales, and Support to advocate for customer needs. Requirements:Must-Haves3–6 years in a SaaS technical customer-facing role (Customer Success Engineer, Solutions Engineer, or Technical Account Manager).Proficiency with API integrations, scripting (Python or JavaScript), and cloud platforms (AWS, GCP, or Azure).Strong grasp of machine learning and generative AI fundamentals, especially computer vision.Ability to translate technical capabilities into business value.Proven success supporting technical customers at a B2B SaaS or AI/ML platform company.Excellent communication, relationship management, and organizational skills.Nice-to-HavesHands-on experience with generative models (diffusion, transformers) or visual AI systems.Familiarity with MLOps workflows, model deployment, or on-device inference.Exposure to creative industries (media, marketing, design).Background in data science, software engineering, or applied AI.

Our client is looking for Software Engineers to join their Motion Planning & Control team. In this role, you’ll design optimization-driven, machine-learning-enhanced pipelines that give robots agility, precision, and the ability to coordinate in dynamic environments. Key ResponsibilitiesDevelop and ship real-time learning-based controllers that drive robotic performance.Build and maintain robust motion-generation and validation pipelines applied across multiple projects.Pioneer multi-robot motion planning and coordination strategies.Own and evolve core C++ control and motion-generation libraries.What You BringStrong problem-solving skills and solid mathematical grounding in optimization, dynamics, and linear algebra.Mastery of modern C++: writing clean, efficient, testable code.A builder’s mindset - confident in implementing algorithms from the ground up.A bias toward rapid prototyping, testing, and iteration.Collaborative, low-ego approach that makes you great to work with.Why JoinDirect ownership of motion planning and control technology at the core of our systems.Immediate impact - your code will be deployed on robots within days.A senior, focused team that values clarity and avoids politics.Competitive salary, equity options, and top-tier equipment.The chance to push the limits of robotic motion and autonomy.

Member of Technical Staff (Backend) On-site, Canada | Up to CAD $300K + Equity + BenefitsAbout the Company:Our client is a fast-scaling Series A start-up backed by top-tier investors, pioneering controllable AI video generation. With more than 30 million users and one of the world’s largest Discord communities, they are shaping the future of content creation for Hollywood studios, digital creators, and everyday storytellers.What We’re Looking For:We’re seeking a backend engineer with strong fundamentals and a passion for building scalable, distributed systems. You’ll play a critical role in designing and optimizing infrastructure that supports millions of users, ensuring reliability, speed, and seamless integration across complex pipelines.Solid Engineering FoundationsSkilled in building robust services with Python and Golang. Comfortable working on distributed systems and optimizing for performance, scalability, and fault tolerance.Exceptional Learning AbilityIn a fast-changing AI-driven environment, you’ll quickly adapt to new tools, frameworks, and methodologies - learning while shipping production-ready solutions.Technical Focus AreasDistributed systems, microservices, and high-performance backend architecture.Hands-on expertise with Python and Golang.Experience deploying and scaling services on cloud infrastructure (AWS strongly preferred).Bonus: experience with data-heavy or video-centric pipelines, prompt engineering, or optimizing workflows for efficiency.Candidate Profile:1–3 years of professional experience post-graduation.University of Waterloo background would be highly valued.Strong problem-solving pedigree - e.g., hackathon wins, Olympiads, competitive programming, or building products with significant adoption.Benefits & Perks:Highly competitive salary (up to CAD $300K) + equity.Health and 100% dental coverage.Relocation subsidies.Complimentary meals, snacks, and a vibrant office culture.5 days per week on-site - immerse yourself in a fast-paced, collaborative start-up environment.Interview Process:Introductory call (up to 30 minutes).Technical interview with senior backend engineers.Conversation with leadership and HR.Rare final follow-up if needed.Call Settings Override To From Record Yes No Always use these settings