HEY,
BOSTON

Software QA Lead (Within Streaming) Up to $150,000 Remote - USA Brief SummaryWe’re looking for an experienced Streaming QA Lead to build and own our QA strategy from the ground up. You’ll lead the implementation of test automation, CI/CD integration, and best practices that ensure code quality, reduce production issues, and empower our developers to move faster without sacrificing stability. This is a high-impact, hands-on role where your work will directly improve developer velocity and product reliability. ResponsibilitiesDesign, implement, and own an end-to-end QA process for our streaming platformDevelop and maintain automated integration test suites to run on all pull requestsIntegrate test automation into the CI/CD pipeline for seamless, continuous validationCreate clear testing guidance, standards, and best practices for the engineering teamManage test cases using tools like TestRail and Xray, ensuring comprehensive coverageCollaborate with developers to verify new features and catch regressions before they reach productionMonitor, analyze, and report on QA metrics to measure success and drive continuous improvement Requirements8+ years of experience in software QA, with a track record of building or scaling QA processesExperience within streaming and live video is highly desirableStrong proficiency in Python and automation frameworks such as PytestSolid understanding of Docker, Git, and AWS environmentsHands-on experience with test case management tools (TestRail, Xray) and CI/CD integrationAbility to design and execute structured test plans and strategiesStrong problem-solving skills and the ability to influence engineering best practicesExcellent communication and documentation skills Success in the first 3–6 months:Automated integration test suite in place and running on PRsFully integrated CI/CD pipeline executing tests automaticallyClear, actionable testing guidelines adopted by engineersNoticeable improvement in developer velocity and reduction of production/staging breakagesApply now to learn more!

Rust Engineering Manager | Remote - USA | Up to $200,000 base.We’re partnering with a rapidly scaling technology company building low-latency systems for real-time audio and video applications. Our client is at a pivotal point in their growth and is hiring a Rust Engineering Manager to lead development on performance-critical infrastructure.This is a high-impact, hands-on leadership role, ideal for someone who thrives at the intersection of systems engineering, signal processing, and technical ownership.What You'll Be Doing:Serve as the in-house Rust expert, leading development of latency-critical featuresDesign and implement real-time AV pipelines using Tokio, gRPC, and GStreamerSet architectural direction and scale systems across a modern cloud stack (AWS, Docker, Kubernetes)Collaborate with product and infrastructure teams to align engineering execution with business objectivesMentor engineers and elevate Rust capabilities across the orgContribute meaningfully to technical roadmap planning and milestone deliveryWhat Success Looks Like (First 3–6 Months):Independently deliver high-priority product milestones in RustTake ownership of low-level AV features and performance optimisationLead technical decision-making and improve cross-team development velocityEstablish yourself as the go-to authority on signal processing and Rust developmentWhat They're Looking For:Experience in backend or systems engineering rolesStrong, production-grade experience with Rust and async runtimes (Tokio)Experience with audio/video signal processing - ideally using GStreamerSolid foundation in cloud-native development using Kubernetes, Docker, and AWSExperience with gRPC, Git-based workflows, and mentoring teams in fast-moving environmentsBonus Points:Experience in AV streaming or real-time media infrastructureContributions to open-source Rust projectsThe Business:Our client is a venture-backed, product-led company operating at the edge of real-time computing and advanced media systems. The team is lean, experienced, and shipping fast - with an emphasis on quality, performance, and solving meaningful technical challenges. This is a rare opportunity to own a core technical function within a company that values engineering leadership and deep expertise.

📍 Associate Quant Researcher | Our Client: AFBI LP Location: Miami HQ We’re partnered with a high-performing multi-manager hedge fund backed by a leading institutional allocator, to help build their next wave of Quantitative Research talent. With ≈$1B+ in AUM and a core focus on systematic macro, AFBI is quietly assembling one of the most technically sophisticated platforms in the space—blending discretionary insight with automated alpha generation across global rates, FX, commodities, and credit. As part of their buildout, they’re hiring an Associate Quant Researcher to work directly with the Head of Systematic Execution, helping design and deploy cross-asset trading signals and alpha models from scratch. The RoleResearch, prototype, and productionize short- to medium-horizon trading signalsEngineer clean, robust data pipelines (Python, SQL, AWS)Work cross-functionally with portfolio managers and execution teamsBacktest ideas, calibrate risk, and get real-time feedback in a live trading environmentYou’ll NeedA strong academic background (Master’s or PhD in STEM)1–3 years’ quant research experience in a hedge fund, prop shop or elite labFluency in Python (Pandas, NumPy, scikit-learn); familiarity with C++ a plusDemonstrable experience converting noisy data into real alphaWhy AFBI?Direct access to decision-makers and low bureaucracyP&L-linked compensation and performance ownershipRelocation to Miami or NYC support + hybrid flexibilityTech-first, research-led culture—zero red tape💬 Interested? Drop your resume and availability to chat next week. We’ll arrange a confidential intro call with the team. This is a high-impact role at a stealthy but well-capitalized fund—ideal for someone ready to move fast, think independently, and see their work live in production.

🔹 Mid-to-Senior C++ Developer | NYC | Front Office HPC 📍 Location: On-site – New York City 📈 Industry: Quantitative Trading | High-Performance Systems 💼 Level: 5–10 years’ experience 🚀 About the Role Our client, a leading global quantitative hedge fund, is seeking a Mid-to-Senior C++ Developer to join their Front Office HPC team. This is a high-impact role where you’ll engineer performance-critical systems that directly support research and live-trading operations. You’ll work alongside world-class engineers and quants to design and build scalable, low-latency infrastructure. Finance experience is not required — intellectual curiosity and a passion for building high-performance systems is. 🔧 What You’ll Be Working OnCore Systems Development: Build ultra-fast C++ applications for order management, market data ingestion, and exchange connectivity.Performance Tuning: Drive latency reduction, throughput gains, and system scalability in a real-time trading environment.Architecture & Design: Collaborate on system design and architecture across distributed and high-performance compute environments.🎯 What We're Looking For5–10 years’ hands-on C++ development experience in performance-critical environments (e.g. trading, gaming, networking, HPC).Strong grasp of algorithms, data structures, memory management, and concurrency.Experience with Linux internals and performance profiling tools.Degree in Computer Science, Computer Engineering, or related field (Bachelor’s or Master’s).Excellent communication skills and the ability to thrive in a fast-moving, collaborative team environment.A self-starter mindset — proactive, curious, and eager to make a real impact.💡 Why Join?Work with cutting-edge technology in a true performance-first environment.Own projects that directly impact trading outcomes.Collaborate with some of the brightest minds in engineering and quantitative research.📩 Apply Now If you're an elite C++ engineer who thrives on solving complex technical challenges at scale — we’d love to hear from you.

Applied AI Researcher  $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are recruiting for an Applied AI Researcher possessing deep expertise in contemporary large language model frameworks and demonstrated experience implementing generative AI solutions in production environments. Key ResponsibilitiesMonitor and analyze emerging trends in generative AI and assess their strategic application potentialEvaluate new methodologies and technologies for integration into existing systemsArchitect, develop, and maintain sophisticated LLM-based applicationsManage complete machine learning pipelines encompassing data preprocessing, model development, performance evaluation, and deployment operationsTranslate complex technical concepts for diverse audiences, from technical specialists to business stakeholdersPrepare comprehensive documentation and presentations on research findings and technical decisionsPartner with software engineers, UX designers, and data science teams to deliver innovative AI-powered solutionsContribute to product strategy and technical roadmap development About YouBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related quantitative field – PhD desirable!Minimum 3 years of hands-on experience in machine learning and AI developmentProven track record of successfully deploying AI models in production environmentsExperience with enterprise-scale AI implementationsAdvanced Python abilityExtensive experience with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXDeep understanding of machine learning algorithms, data structures, and optimization techniquesUnderstanding of MLOps practices and deployment strategiesIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

AI Engineer $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are seeking an experienced AI Engineer to join a dynamic engineering team. The successful candidate will possess deep expertise in contemporary large language model architectures and demonstrate proven experience implementing generative AI solutions in production environments. Key ResponsibilitiesArchitect, implement, and maintain LLM applicationsOversee complete ML lifecycle managementHandle data analysis, processing, and model architecture designDevelop training protocols, evaluation metrics, and MLOps infrastructureMonitor and analyze emerging trends in GenAI technologiesEvaluate potential applications of new developments for product enhancementContribute to strategic technical decision-makingPresent technical concepts to diverse audiences with varying technical backgroundsContribute to innovative AI solution development across multiple product areas About YouMinimum 3 years of ML experienceDemonstrated success deploying scalable AI models in production environmentsAdvanced programming capabilities with PythonProficiency with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXExperience with model optimization and deploymentBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or similarPhD or equivalent industry experience preferred Preferred QualificationsPublished research in recognized AI/ML conferences or journalsActive contribution to relevant open-source projectsParticipation in competitive ML platforms (Kaggle, etc.)Engagement with AI/ML professional communitiesPrevious experience in startup or scale-up environmentsIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

Software Engineer (Full stack & AI) Location: Menlo Park, California, United States (On-site)Type: Full-time/permanentIf you're inteerested in building the future of real-time, agent-powered user experiences, then you should explore this opportunity!  As a Software Engineer, you’ll be designing and scaling the infrastructure that fuels cutting-edge research and drives seamless, real-time interactions between users and intelligent agents. This isn’t your average fullstack role, you’ll be hands-on with the systems that support high-concurrency, massive data throughput, and emerging AI use cases. Key ResponsibilitiesArchitect and build backend systems to manage user data and support highly concurrent AI-driven workflows.Partner closely with research, UI/UX, and product teams to deliver seamless, integrated AI experiences.Optimize services for scalability and performance, using strategies like caching, load balancing, and efficient data handling.Monitor and troubleshoot system bottlenecks, ensuring high availability and quick recovery. What You Bring2–5+ years in backend engineering, ideally in AI/LLM-powered environments.Strong fluency in Python, Java, or Go, and modern frameworks.Experience working with SQL/NoSQL databases and big data pipelines.Familiarity with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD workflows.Practical knowledge of streaming architectures (WebSockets, SSE).Hands-on AI integration experience: prompt engineering, secure model execution, context management.Excellent problem-solver, communicator, and collaborative teammate. Team & CultureSmall, agile team blending engineering with applied research.US-based, in-person environment with visa sponsorship offered.Rich benefits: medical/dental/vision, life insurance, 401(k), unlimited PTO, relocation assistance.Fluid, ambitious culture with a strong emphasis on ownership and impact. Why You’ll Love Working HereCrafting systems that redefine agent/user interactions.Innovating in a space few have the vision, or freedom, to explore.Positioned for growth, your work here shapes the product and roadmap.Within a hub next to Stanford and deep into the Bay Area’s AI ecosystemApply now if you're ready to build the infrastructure behind intelligent agents changing how the world interacts with technology.

Software Engineer (Full stack & AI) Location: Menlo Park, California, United States (On-site)Type: Full-time/permanentIf you're inteerested in building the future of real-time, agent-powered user experiences, then you should explore this opportunity!  As a Software Engineer, you’ll be designing and scaling the infrastructure that fuels cutting-edge research and drives seamless, real-time interactions between users and intelligent agents. This isn’t your average fullstack role, you’ll be hands-on with the systems that support high-concurrency, massive data throughput, and emerging AI use cases. Key ResponsibilitiesArchitect and build backend systems to manage user data and support highly concurrent AI-driven workflows.Partner closely with research, UI/UX, and product teams to deliver seamless, integrated AI experiences.Optimize services for scalability and performance, using strategies like caching, load balancing, and efficient data handling.Monitor and troubleshoot system bottlenecks, ensuring high availability and quick recovery. What You Bring2–5+ years in backend engineering, ideally in AI/LLM-powered environments.Strong fluency in Python, Java, or Go, and modern frameworks.Experience working with SQL/NoSQL databases and big data pipelines.Familiarity with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD workflows.Practical knowledge of streaming architectures (WebSockets, SSE).Hands-on AI integration experience: prompt engineering, secure model execution, context management.Excellent problem-solver, communicator, and collaborative teammate. Team & CultureSmall, agile team blending engineering with applied research.US-based, in-person environment with visa sponsorship offered.Rich benefits: medical/dental/vision, life insurance, 401(k), unlimited PTO, relocation assistance.Fluid, ambitious culture with a strong emphasis on ownership and impact. Why You’ll Love Working HereCrafting systems that redefine agent/user interactions.Innovating in a space few have the vision, or freedom, to explore.Positioned for growth, your work here shapes the product and roadmap.Within a hub next to Stanford and deep into the Bay Area’s AI ecosystemApply now if you're ready to build the infrastructure behind intelligent agents changing how the world interacts with technology.