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Our client – a lean, intellectually rigorous investment firm – is seeking exceptional Senior Quant Researchers to join their systematic equities team. This is a rare opportunity to help drive alpha generation at a fast-moving, collaborative fund where deep research and innovative thinking are core to performance. 🔍 What You’ll Do:Develop and test novel mid-frequency equity strategies grounded in empirical researchGenerate original alpha signals using large datasets, systematic techniques, and market intuitionCollaborate with a small, high-performing team across research, engineering, and portfolio managementContribute to the full strategy lifecycle: hypothesis -> research -> implementation -> performance review🎓 Ideal Background:5–10 years’ experience in systematic equities, alpha research, or mid-frequency tradingStrong command of applied mathematics, statistics, or quantitative financeDemonstrated experience building and deploying alpha-generating strategiesDeep research mindset — you live for unsolved problemsTrack record of independent thinking and intellectual integrityAdvanced degree (PhD strongly preferred) from a top-tier institution (Harvard, MIT, Stanford, Oxford, Cambridge, etc.)🧠 Culture & Fit:You question assumptions. You challenge models. You don’t fool yourself.You thrive in lean, agile environments where your impact is tangibleYou prefer rigour over hype — and believe systematic thinking is a competitive edgeNo interest in crypto, hype cycles, or chasing trends — just alpha, pure and simple“The first principle is that you must not fool yourself — and you are the easiest person to fool.” – Feynman If that resonates, we should talk.

AI IDE  Expert 📍 Amsterdam, Netherlands 🧠 Full-time, OnsiteThe RoleOur client is hiring a senior technologist to lead innovation in intelligent development environments. You’ll be working on advanced IDE systems that integrate AI to simplify and speed up the software development process. The goal is to improve how developers build, test, and ship code across new and emerging ecosystems.Key ResponsibilitiesDesign and prototype next-generation IDEs, focusing on distributed workflows, multimodal interfaces, and seamless developer experienceDevelop AI4SE (AI for Software Engineering) capabilities such as code generation, intelligent suggestions, and automation toolsResearch and implement AI-driven features that improve productivity and support new use cases within modern dev environmentsCollaborate with leading academic and research institutions to solve complex technical problems and bring innovations into real-world productsStay ahead of industry trends and help define the future of intelligent development toolingWhat We’re Looking ForStrong experience in software engineering or AIGC, ideally with a background in building or contributing to popular IDEs or developer tools (e.g. VSCode, JetBrains, Copilot, Cursor)Solid grounding in machine learning, NLP, or big data, with hands-on experience in areas like code generation, semantic search, or intelligent recommendationsCreative problem solver with a track record of turning ideas into working systemsClear communicator with the ability to collaborate across research, engineering, and product teamsLeadership experience in larger technical teams is a strong plus

Role: Technical Program Lead – AI & Coding Operations€120,000 – €150,000 + Equity + Bonus (negotiable)Remote Europe | Full-time | Eastern Time hours requiredA fast-growing Series B tech company backed by top investors is looking for a Technical Program Lead – AI & Coding Operations to lead large-scale coding initiatives supporting cutting-edge LLM and GenAI solutions for enterprise clients.This is a high-impact leadership role ideal for someone who combines deep coding expertise with operational and project management strength. You’ll be responsible for overseeing 100+ contractor coders, designing coding roadmaps, and ensuring delivery of clean, high-quality data/code for machine learning pipelines.What You’ll Do:Lead end-to-end execution of high-volume coding projects.Translate messy legacy code/data into structured workflows and clear, actionable instructions.Design and maintain high standards for coding quality and delivery timelines.Manage and mentor a global team of 100+ coder contractors.Define QA protocols and troubleshoot operational or technical roadblocks.Collaborate cross-functionally with internal stakeholders and technical teams.What You’ll Bring:6+ years hands-on coding experience (Python, Java, JavaScript, or similar).3+ years in technical project management roles.Expertise in version control, debugging, and scalable software practices.Experience with or exposure to LLMs and Generative AI tools/pipelines.Fluency in multiple programming languages and a solutions-first mindset.Strong leadership and communication skills for managing large distributed teams.What’s On Offer:€120,000 – €150,000 base salary (negotiable)Equity and performance bonusesRemote-first flexibility (must overlap with ET hours)Comprehensive benefits & professional development supportChance to shape the operational foundation of a fast-scaling GenAI company

Job Title: AI Researcher Location: Bay Area (Hybrid) Compensation: $250K–$290K + Equity We’re hiring on behalf of a fast-growing, well-funded Bay Area startup redefining video creation using generative AI. Their platform enables video-to-video generation — combining diffusion models, Gaussian splatting, and human-centric 3D rendering. In this role, you’ll:Research and deploy models for video generation, in-painting & 3D simulationWork on human-centric modeling (pose, movement, reenactment)Build on top of diffusion models, transformers, and neural rendering methodsCollaborate with a multidisciplinary team of researchers, engineers & artistsIdeal candidates have:A PhD (or equivalent) in AI, CV, or graphicsPublications in top venues (CVPR, NeurIPS, ICCV, SIGGRAPH, etc.)Strong experience with generative models or visual computingApply now to work on bleeding-edge visual AI with real-world impact.

Freelance GCP / Vertex AI Engineer – Remote (Europe) Location: Remote in the EU Contract: Until end of year, with strong potential for extension Start Date: ASAP We’re working with a leading consulting firm that supports major clients in the banking sector. As part of a high-impact AI initiative, they’re looking for a freelance GCP / Vertex AI Engineer to join the team immediately. The focus of this project is on building production-grade solutions for Conversational AI using Google Cloud and Vertex AI, including Agent Assist and Generative AI components. Responsibilities:Design and implement solutions using Vertex AICollaborate with cross-functional teams to support model development and deploymentContribute to the development of Conversational AI workflows, including retrieval-augmented generation (RAG)Ensure systems are scalable, secure, and reliable in production environmentsRequirements:Proven hands-on experience with Google Cloud Platform (GCP) and Vertex AIStrong track record deploying machine learning models into productionExperience implementing or supporting Conversational AI solutions, ideally involving:Agent Assist toolsDialogFlowMetadata filtering and boosting in data storesRAG architecture and evaluation strategiesPractical knowledge of LLMs (Large Language Models) in real-world use casesEnglish-speaking Available to start immediately

Role: AI Engineering Manager/Staff Engineer (Python / LLMs / Infrastructure)Location: Fully Remote (Europe)Salary: €110k-€135kEmployment Type: Full-time*Please note: Only candidates with Staff-level experience or above will be considered. Proven team leadership - whether as a Tech Lead, Staff Engineer, or Engineering Manager - is a core requirement for this role.*Join a fast-growing product company at the cutting edge of AI technology. This is an opportunity to lead a talented, cross-functional engineering team while staying hands-on with a modern, high-performance tech stack. Our client’s mission is to build one of the most human-like AI platforms in the world, with millions of users and a strong reputation across academia and media.We're seeking an AI Engineering Manager or Staff Engineer who combines strong backend engineering and infrastructure skills with proven leadership experience. You’ll play a pivotal role in scaling production AI systems, guiding technical direction, and helping drive delivery of sophisticated, LLM-powered solutions.Key Responsibilities:Lead and mentor a high-performing team of AI and backend engineersOwn and evolve the system architecture for AI/ML deployment at scaleBuild and maintain FastAPI-based microservices with Python async patternsManage AI-related infrastructure: containerization (Docker), CI/CD (GitHub Actions), observability (Datadog)Design and support scalable data pipelines using Redis, MongoDB, and KafkaIntegrate with LLMs (OpenAI, Anthropic, LLaMA) and vector databases (e.g. Pinecone)Oversee structured logging and system monitoringCollaborate cross-functionally across AI research, DevOps, and product teamsSupport a robust, high-scale environment (serving 500K+ users)Help shape best practices in software engineering and team cultureCore Requirements:5+ years of backend development experience in PythonLeadership background: experience managing engineering teams or squadsDeep knowledge of Redis (asyncio), MongoDB schema design, and FastAPIHands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and vector databases (e.g. Pinecone)Familiarity with LLaMA models and deployment patternsProficient in Docker and docker-compose for environment managementSolid experience with Kafka in event-driven architecturesExpertise in CI/CD with GitHub Actions and observability tooling (e.g., Datadog)Track record of shipping systems at scale (500K+ users or more)Excellent communication skills and stakeholder collaboration abilitiesA “startup mindset”: proactive, adaptable, and comfortable with ambiguityNice to Have:Experience with Kubernetes and deployment orchestration tools (e.g. Quadrant)Scala familiarity or willingness to learnPrevious work in AI/ML product teams or research-led environments

AI Solutions Director Compensation: $170,000 - $230,000 Location: RemoteReady to shape the AI infrastructure powering tomorrow’s LLM and GenAI breakthroughs?Join a high-growth, venture-backed company on a mission to transform how large organisations build and scale AI solutions. As a Director of AI Solutions, you’ll partner with enterprise leaders across industries, guiding them through the complex challenges of AI data strategy, pipeline design, and LLM deployment - all within a platform consistently rated #1 by its users.This is your opportunity to sit at the head of the table when it comes to strategy, operations, leadership, and cutting-edge AI - all while owning high-impact programmes and influencing product direction from the ground up.Why This Role?Direct LLM/GenAI initiatives, working hand-in-hand with Fortune 500s and global enterprisesCompetitive base salary plus equity/stock optionsFully remote within the US, just align with client hoursLead with a platform that customers love (literally top-ranked)Influence strategy, own complex delivery, and grow with the businessFull health cover, 401(k), flexible time off, training budgets & more The Role:Own strategic delivery and lead AI data projects from use-case discovery to execution and scale, with a focus on LLMs and GenAI systemsAct as the senior point of contact for VP/CTO-level stakeholders at some of the world’s biggest companies. Grow accounts through trusted advisory and solution excellenceBuild, lead, and mentor high-performing project teams and foster a culture of ownership, speed, and continuous improvementBuild robust project plans, flag risks early, and optimise resource allocation across multiple client workstreamsTranslate complex client needs into deliverable AI/ML workflows, coordinating with internal product and engineering teamKeep on top of GenAI and LLM trends and bring insights back into projects, delivery models, and client conversations About You:10+ years in technical solutions, delivery, or technical leadership roles, ideally in fast-paced and client-facing environmentsDeep familiarity with LLM use cases and GenAI infrastructureProven track record of managing multi-threaded enterprise projectsComfortable managing relationships with VP or C-suite clients, ideally at enterprise scale businessesHands-on understanding of at least one modern programming language, such as Python or JavaScriptStrong analytical mindset - comfortable with financial modelling, margin tracking, and forecastingA background in Computer Science, Engineering, Mathematics, or similar (MBA a plus)Comfortable working varied hours depending on client requirements (PST – EST)This is an incredible chance to build the infrastructure that GenAI depends on, with a fantastic company culture and scope for growth. If this excites you, apply now for more info!

Principal AI Researcher - Dublin, Ireland An international tech lab is expanding its applied AI research centre, hiring to strengthen their work on large-scale recommender systems and LLMs powering global platforms across cloud, streaming, and mobile. This is more than a publication-first role. You’ll be joining a multi-disciplinary research centre that collaborates with top universities and industry partners, with real deployment as the end goal. What You’ll Do:Design and develop production-grade recommender systems and LLM-driven servicesRun experiments on massive datasets, proposing novel approaches to real-world problemsPresent and defend your research both internally and externallyMentor junior researchers and guide research direction across the teamPublish in top-tier venues, file patents, and build working prototypesPartner with global stakeholders to scale ideas and deliver impactWhat They’re Looking For:10+ years of experience in applied ML, with a strong track record in recommender systems or LLMsHands-on coding skills are a must (Python, C++, R, etc.)PhD from a top university and multiple publications + patents all focused around LLM'sIndustry background at leading tech companies (e.g. Apple, Amazon, ByteDance)Ability to lead and deliver in research environments that bridge academia and industryProcess Overview:Coding test (challenging and mandatory, even for senior profiles)Research presentation (typically PhD work or a recent project)Deep-dive with the lab or HQ team to assess alignmentFinal HR round (salary and logistics)