AI/ML Systems Software Engineer

Your OpportunityJoin our innovative team at LM Studio as a Software Engineer specializing in AI/ML Systems. We seek a dynamic individual who thrives at the crossroads of machine learning and systems engineering, enjoys tackling complex challenges, and is dedicated to crafting exceptional products.In this role, you will be responsible for developing and enhancing on-device inference engines and integrations for local large language models (LLMs) and advanced AI technologies within LM Studio. You will design and maintain the runtime that facilitates on-device model inference, provide immediate support for new models on launch day, and optimize performance across diverse hardware setups.Collaboration is key here. You will engage closely with model authors and upstream open-source communities (such as llama.cpp, MLX, and others) to ensure that LM Studio users access cutting-edge AI experiences.If you're passionate about bridging the gap between models and systems and care about delivering outstanding local AI-powered experiences for both users and developers, this position could be your next great adventure!

Role Overview Tetrix is hiring a Staff AI/ML Engineer for its New York City office. This position focuses on developing advanced artificial intelligence and machine learning solutions that support both product development and operational improvements. What You Will Do Design and build AI and ML systems to strengthen Tetrix’s product lineup Apply technical expertise to solve complex business challenges Work closely with colleagues to identify opportunities for automation and efficiency Location This role is based in New York City.

At Artemis, we are pioneering the future of AI-powered defense systems to empower businesses to effectively detect and counter threats in a landscape where AI combats AI on the cyber frontlines.We are supported by esteemed investors such as First Round Capital and Brightmind, alongside a coalition of leading operators in the cybersecurity sector.Our visionary founders, Shachar (former leaders at Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have successfully built, launched, and scaled cybersecurity solutions that have earned the trust of thousands of clients, leveraging deep expertise in customer needs, technology, and security to realize our ambitious vision.Our diverse and highly skilled team comprises software developers, AI researchers, security experts, and product designers from industry giants like Google, Abnormal AI, Wiz, Meta, AWS, CERN, and SentinelOne.As we expand our footprint, we are seeking passionate innovators to join our mission and enhance our growing clientele.Job OverviewArtemis is at the forefront of analyzing vast streams of data from cloud services, identity providers, network logs, and more. We are constructing a cutting-edge, large-scale AI-native data platform from inception and require outstanding AI/ML Engineers to help shape and realize this vision. You will collaborate with engineers who have designed some of the world’s most significant distributed systems.A key focus of this role involves utilizing agents as the primary classification and reasoning layer across our platform, enabling us to transcend traditional static rules and approaches, allowing for a deeper understanding and response to multifaceted security data.This position offers substantial responsibility and impact. You will engage with crucial components of our system, from LLM-powered classification and detection to extensive data processing and management.

About SciemoSciemo is at the forefront of AI innovation for consumer goods, providing technology that empowers businesses to make more informed, rapid, and human-centric decisions throughout the Integrated Business Planning (IBP) process. Our platform effectively transforms disorganized, isolated data into significant business outcomes. Through real-time assistance from our AI agents, we simplify complexity, enabling decision-makers to focus on what truly matters. Our headquarters is located in New York City.OverviewAs a leading startup, Sciemo is dedicated to advancing AI solutions for consumer brands. Utilizing machine learning, generative AI, agent-based systems, and graph technologies, we enable our clients to extract insights within seconds and achieve business impacts in minutes through our innovative products.We are seeking a Founding Member of Technical Staff to join our team, overseeing the development and deployment of sophisticated ML systems, reporting directly to Dan Wald, our Co-Founder & Chief AI Officer.RoleIn this dual capacity as a Data Scientist and Machine Learning Engineer, you will be instrumental in crafting, developing, and deploying the intelligent solutions that power our AI products. Your expertise will span the full spectrum of applied AI, including data science, machine learning, and large-scale production engineering. This role necessitates a combination of innovative model development and the engineering aptitude to deploy and sustain these models within robust, scalable infrastructures.You will collaborate closely with data engineers, product leaders, backend developers, and customer-facing teams to ensure our AI systems yield tangible value in real-world applications. As an early technical hire, you will help shape our AI strategy, establish technical standards, and create best practices for scalable applied AI.ResponsibilitiesDevelop and deploy AI systems that include:Architecting, building, and deploying ML/GenAI products on cloud infrastructure (AWS or equivalent).Designing and implementing end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Creating automated pipelines for continuous learning, model promotion, and performance monitoring.System architecture and reliability:Leading the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and reliability.

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

About SecurityScorecard: SecurityScorecard is the premier authority in cybersecurity ratings, continually assessing over 12 million companies across 64 countries. Established in 2013 by cybersecurity pioneers Dr. Alex Yampolskiy and Sam Kassoumeh and backed by top-tier investors, our innovative rating technology is utilized by more than 25,000 organizations for self-assessment, third-party risk management, board reporting, and cyber insurance underwriting. Our mission is to enhance the resilience of organizations by simplifying the identification and remediation of cybersecurity vulnerabilities throughout their digital landscape. Based in New York City, our workplace culture has earned accolades from Inc Magazine as a "Best Workplace," and recognition from Crain’s NY as one of the "Best Places to Work in NYC." We are proud to have been listed among the 10 hottest SaaS startups in New York for two consecutive years. Recently, SecurityScorecard was featured on Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and received the Achievers 50 Most Engaged Workplaces award in 2023, highlighting our commitment to employee engagement. We are grateful for the support of our esteemed investors, including Silver Lake Waterman, Moody’s, Sequoia Capital, GV, and Riverwood Capital.

Why Join Moonshot AI?Envision a web that autonomously transforms itself to enhance sales, improve conversions, and accelerate growth.At Moonshot AI, we’re pioneering this future by integrating generative AI, extensive data processing, and innovative experimentation into a self-adaptive online ecosystem.As a well-capitalized, early-stage startup with grand ambitions, your role here transcends that of a typical employee — you’ll actively contribute to shaping the company’s technical and cultural foundation. If you've ever aspired to have the freedom of a founder while being supported by elite investors, this opportunity is for you.What You'll Create & LeadIn the position of Staff Software Engineer, you will serve as the technical cornerstone of Moonshot's evolution engine, responsible for designing scalable systems, steering engineering strategy, and mentoring your colleagues.Your work will blend hands-on expertise with high-level architectural insight, transforming visionary ideas into technical realities.You will:Innovate at the forefront of generative AI - develop systems that empower AI to autonomously reason, experiment, and implement tangible changes to the web.Architect the next generation of our experimental engine - ensuring it is scalable, observable, fault-tolerant, and capable of handling millions of daily events.Design and advance our backend infrastructure utilizing Python (Flask-RestX), serverless AWS, and various data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).Lead technical strategy - establish our engineering principles and evolve the architecture across microservices, data ingestion, and LLM-driven systems.Mentor and uplift - enhance the skills of senior and mid-level engineers through code reviews, collaborative programming, and detailed design documentation.Collaborate across teams - partner with AI, product management, and data science to translate business objectives into robust systems.Prototype and expand boundaries - rapidly bring concepts to production while balancing experimentation with thoroughness.Enhance performance, security, and reliability as we scale towards SOC 2 certification and enterprise clientele.This role emphasizes technical leadership without the responsibilities of people management: pure design, significant leverage, and complete ownership.

About the Senior Staff AI/ML Engineer Role Sigma Computing builds a platform that helps users explore and analyze massive datasets through a spreadsheet-like interface. Teams use Sigma to visualize data, create dynamic workbooks, and build custom data applications and workflows. AI is central to Sigma’s next phase: making workflow construction easier, surfacing insights, and supporting rapid decision-making for enterprise users. This Senior Staff AI/ML Engineer position joins a team focused on shaping Sigma’s AI foundation. Work here impacts the daily operations of organizations that depend on Sigma for business intelligence and application development. What You Will Do Work with product, design, and engineering to identify AI/ML projects that deliver the most value. Design and build AI systems that make complex processes accessible, including recommendation engines, natural language interfaces, and intelligent workflow tools. Develop and improve AI/ML infrastructure for both internal and customer-facing features. Tackle user experience challenges where AI meets business intelligence and app development. What We Look For Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required). More than 10 years of experience building and deploying production AI/ML systems. Deep knowledge of machine learning, deep learning, and applied AI. Hands-on skill with the full machine learning lifecycle: data curation, training, deployment, and monitoring. History of delivering reliable solutions in areas such as recommendations, search, machine translation, or similar complex systems. Experience adapting or training foundational models (language-based or multimodal) for domain-specific use cases. Bonus Skills (or Areas to Grow Here) Background in building agents for planning, reasoning, and tool use. Familiarity with cloud platforms like AWS, GCP, or Azure. Experience working in a startup or high-growth company. Location: New York City, NY

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

Nagarro is hiring a Senior Staff Engineer to lead AI-focused initiatives in New York City. This position centers on steering teams as they design and deliver advanced artificial intelligence solutions. Role overview This role involves taking charge of major AI projects, shaping technical direction, and ensuring high standards throughout the development process. The Senior Staff Engineer will help teams translate complex requirements into practical, AI-powered products that strengthen Nagarro's portfolio. What you will do Guide and mentor engineering teams working on artificial intelligence projects Drive the development of new AI solutions to improve existing offerings Oversee project execution from concept through deployment Requirements Extensive experience in artificial intelligence engineering Strong leadership skills in technical team settings Ability to manage and deliver complex AI-driven projects

OverviewTetrix is an innovative startup dedicated to revolutionizing how institutional investors navigate alternative markets. Our cutting-edge AI-driven platform converts chaotic, unstructured private market data into actionable real-time insights. By integrating automated document retrieval, AI-empowered data extraction, and dynamic portfolio analytics, we offer a unified solution that defines the future of financial market infrastructure. Our rapid growth positions us as a leader in the industry, with partnerships among top-tier capital allocators and backing from prominent investors including Innovation Endeavors, Eric Schmidt’s VC firm, and industry veterans from BlackRock, CPPIB, SoftBank, Lending Club, and Plaid. Who We AreWe are a compact yet impactful team with extensive experience in both financial markets and advanced technologies. Our culture thrives on trust, ownership, and curiosity, where every team member is encouraged to contribute, innovate, and grow together. Our co-founders, Olivier (CEO) and Naunidh (CTO), forged their partnership on their first day at Stanford's MBA program, leading to the establishment of Tetrix in the summer of 2023. Who You AreYou are proactive and hands-on, taking initiative to drive projects forward.You possess a quick learning ability, approaching problems creatively and enthusiastically.You prioritize customer experience in every aspect of your work, from backend decisions to UI enhancements.You thrive in collaborative environments, valuing transparency and effective communication.You bring 5+ years of experience in AI/ML, preferably within fast-paced or entrepreneurial settings; contributions to open-source projects are a plus. What You’ll DoYou will build and optimize machine learning models that enhance our product's capabilities.You will collaborate with cross-functional teams to integrate AI solutions that drive business value.You will contribute to the product development lifecycle, from concept through deployment.

About SandbarSandbar is a pioneering technology company based in New York City, dedicated to enhancing human capabilities in an agentic world. Our mission is to empower individuals to think, act, and move with freedom. Our innovative team has developed software, machine learning, and hardware solutions that have been instrumental in the success of leading companies such as Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a groundbreaking human-agent interface—a private voice ring and conversational computer. Stream has garnered attention in prestigious publications like the Wall Street Journal, Bloomberg, and Wired, with shipments set to commence in Summer '26.We invite you to join us in shaping a new paradigm for self-augmentation.

At Confido, we are revolutionizing the AI infrastructure for consumer packaged goods (CPG) brands, streamlining everything from deductions to production planning. Our platform integrates cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics into a cohesive system. The outcome is significant time savings, enhanced decision-making capabilities, and accelerated growth potential.We proudly serve over 200 brands, managing more than $20 billion in revenue, with clients like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.With our recent successful $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid expansion.As a Staff AI / ML Engineer, you will play a crucial role in developing and implementing the core AI systems that power our platform, including LLM-driven document understanding and predictive models that assist brands in making informed decisions.This foundational position will involve direct collaboration with our CEO and CTO to define our long-term AI strategy and architecture.

Our mission: to eliminate every barrier to mental health.At Spring Health, we are dedicated to transforming mental healthcare by dismantling obstacles that hinder individuals from accessing the support they require. Our clinically validated technology, Precision Mental Healthcare, allows us to provide timely and personalized care—whether it involves therapy, coaching, medication, or other solutions tailored to individual needs.We proudly collaborate with over 450 companies, ranging from startups to Fortune 500 giants, serving the mental health needs of 10 million individuals. Our esteemed clients, including well-known brands like Microsoft, Target, and Delta Airlines, rely on us for exemplary outcomes for their employees worldwide. With our cutting-edge platform, we have achieved a net positive ROI for employers and are uniquely recognized with external validation of cost savings for our customers.Our growth has been fueled by significant investments from renowned firms including Generation Investment, Kinnevik, Tiger Global, and Northzone, among others. With our recent Series E funding, we have reached a valuation of $3.3 billion, and we are just beginning—join us in making mental healthcare universally accessible.In this pivotal role, reporting to the Senior Director of Product, Customer Value, you will play a key role in shaping and executing the vision for a robust and scalable AI/ML foundation. You will develop the essential machine learning infrastructure and developer platform that powers intelligent features across the organization, enabling product teams to efficiently create, assess, launch, and monitor AI solutions with confidence. This is a hybrid role based in New York City, with in-office presence expected 2-3 days per week at our location on 60 Madison Avenue.

At Extend, we are revolutionizing document processing with cutting-edge Large Language Models (LLMs). Our mission is to reshape how organizations interact with unstructured data, making it more efficient and effective.As an Applied AI/ML Engineer, you will play a pivotal role in developing advanced document processing infrastructure and innovative AI-driven product features. Your contributions will directly influence the experience of our customer base as we process millions of documents each month.We seek engineers who are not only innovative problem solvers but also stay current with the latest AI advancements. If you are passionate about making tangible impacts in the real world and eager to assist businesses in overcoming significant challenges through AI, we want to hear from you!

Standard Template Labs is an innovative startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through AI technologies. Supported by prominent investors, we are at the forefront of integrating AI, graph-based architectures, and cutting-edge design to transform enterprise technology management.About the Role:We are seeking a Staff Software Engineer who excels at the crossroads of AI systems design, large-scale distributed infrastructure, and product innovation. In this role, you will spearhead technical projects that manifest AI-native functionalities—developing resilient, scalable systems that incorporate LLMs, data-driven automation, and graph intelligence into enterprise processes.This position is ideal for a hands-on leader who is not only proficient in coding but also adept at mentoring others and shaping technical strategies in an AI-centric environment.Key Responsibilities:AI-Driven Systems EngineeringCraft and implement AI-native architectures that integrate LLMs and intelligent automation into ITSM and CMDB workflows.Utilize LLMs, embeddings, and retrieval pipelines to enhance natural language interfaces, knowledge synthesis, and reasoning within our platform.Collaborate with product, design, and data teams to embed AI throughout the product experience—from backend systems to user-facing features.Technical OwnershipTake end-to-end ownership of intricate systems: design, architecture, deployment, and reliability in production.Navigate architectural choices while balancing immediate performance with long-term scalability and sustainability.Contribute to defining our AI-first engineering stack and methodologies for prompt orchestration, model integration, and continuous learning.Hands-On EngineeringDevelop clean, scalable, and testable code that pushes the boundaries of AI-enabled systems.Design and enhance distributed, event-driven systems and APIs capable of handling data and inference at scale.Perform in-depth code reviews and optimize performance across high-traffic production environments.

Scribd, Inc. brings together products like Scribd®, Slideshare®, Everand™, and Fable, all focused on moving people beyond basic access to information toward deeper understanding and hands-on expertise. Workplace Culture Authenticity and bold thinking shape daily work at Scribd. The team values open debate, welcomes fresh challenges, and keeps customer needs central to decisions. Through the Scribd Flex program, employees enjoy a blend of remote work and intentional in-person gatherings. While most tasks happen remotely, occasional onsite meetings help strengthen collaboration and community ties. Scribd seeks individuals who demonstrate “GRIT”: passion and perseverance in pursuit of long-term goals. This mindset guides how teams set objectives, deliver on commitments, and solve problems together. Developer Tooling Team This group designs and maintains the tools, frameworks, and platforms that support Scribd’s engineers throughout the software development lifecycle. Their work includes updating infrastructure, refining build and deployment processes, and introducing collaborative AI features that enable developers to work with AI agents. These efforts directly improve productivity and enhance the developer experience across the company. Role overview The Staff Software Engineer for the AI Developer Platform plays a key role in shaping how Scribd approaches software development in an AI-first environment. This position sets the technical direction for the agentic engineering platform, guiding hundreds of engineers as they use coding agents to write, review, and deploy code across Scribd’s technology stack. The role also focuses on improving the development environment to enable effective collaboration between AI agents and human engineers. Developing the agentic engineering strategy requires close partnership with senior leadership to ensure alignment with company goals.

Join Norm Ai as a Senior/Staff Full Stack EngineerAt Norm Ai, we are revolutionizing the Legal & Compliance industry through cutting-edge AI technology. Our innovative platform empowers enterprises to enhance their legal and compliance processes, ensuring speed, reliability, and trust.With over $30 trillion in assets managed by our clients and recent funding exceeding $140 million from prominent investors like Blackstone and Bain Capital, we are positioned for rapid growth and expansion.As a Senior/Staff Full Stack Engineer, you will play a critical role in developing our advanced AI-driven compliance solutions. Your expertise will contribute to both front-end and back-end development, influencing how our technology transforms the legal landscape.AI Fluency:We expect our team members to leverage AI tools actively in their work. Candidates should be prepared to showcase their practical experience with AI applications, detailing workflows and outcomes during the interview process.

About AdaptiveAdaptive Security stands at the forefront of AI cybersecurity, recognized as NVIDIA and OpenAI’s exclusive investment in this domain. Our mission is to thwart AI-driven cyberattacks. In December 2025, we proudly announced an $81M Series B funding round led by NVIDIA and Bain Capital Ventures, joined by esteemed investors including Capital One Ventures, Citi Ventures, and ongoing support from Andreessen Horowitz (a16z), the OpenAI Startup Fund, and Abstract Ventures. This round signifies NVIDIA’s inaugural foray into AI cybersecurity investments.Founded by seasoned entrepreneurs Brian Long and Andrew Jones, who have a proven track record of building and scaling industry-defining companies, Adaptive is set to shape the security landscape for the AI era. Brian and Andrew previously co-founded Attentive, which achieved over $500M in annual revenue and a valuation exceeding $10B, and TapCommerce, acquired by Twitter. Their wealth of experience in creating high-growth, product-focused businesses is instrumental as Adaptive secures enterprises against ever-evolving threats.With a growing clientele that includes leading banks, technology firms, and healthcare organizations, Adaptive is dedicated to safeguarding teams from emerging threats like deepfakes, smishing, and AI-generated voice scams. As we experience rapid enterprise adoption and explore a market exceeding $200B, we are just scratching the surface of our potential.Role OverviewWe are on the lookout for a Staff Machine Learning Engineer to spearhead the development of Adaptive's ML capabilities. As an AI cybersecurity firm, our products leverage LLMs and ML models to identify, classify, and respond to threats in real time. The role of ML is pivotal to the future of our offerings, and we seek an individual who can define our strategy, establish the infrastructure, and execute hands-on initiatives.Currently, we lack dedicated ML infrastructure or a team; you will have the unique opportunity to build this from the ground up. You will set the technical direction for ML applications across the organization, establish the necessary infrastructure, and engage in hands-on development.Key ResponsibilitiesCraft and define Adaptive's ML strategy: identify optimal applications of ML across our product suite, determine required infrastructure, and guide build vs. buy decisions.Design and implement end-to-end production ML systems, including data pipelines, model training, evaluation frameworks, and inference serving.Establish a robust evaluation methodology to measure model quality, identify regressions, and facilitate data-driven decisions regarding model modifications.Take ownership of data strategy: ensure the acquisition of necessary data in the required formats, define labeling processes, and establish feedback loops to enhance model performance over time.Collaborate with product engineers to integrate ML capabilities seamlessly into our products.

Join the Innovative Team at FLORAAt FLORA, we empower the new creative class with cutting-edge tools that redefine creative expression. Our intelligent canvas integrates advanced AI models to facilitate professional-grade craftsmanship. Backed by $52 million in funding from top-tier investors like Redpoint Ventures and Menlo Ventures, we are a dynamic team of around 20 dedicated to serving a diverse clientele, including renowned brands like Pentagram, Lionsgate, and Nike.About the PositionWe are in search of a Staff Product Engineer who will take ownership of essential elements of FLORA's product. As a technical leader, you will influence our frontend systems, focusing on canvas rendering, intricate workflow interactions, and the media layer crucial for image and video editing.We need a candidate who is passionate about their craft, delivers polished work swiftly, and continuously enhances it until it stands out. You will have significant influence over the technical direction and the opportunity to shape the future of our product engineering team.In This Role, You Will:Create canvas and workflow systems that simplify complexity, enabling users to effortlessly manage intricate, multi-step pipelines.Enhance our media control layer to expand image and video editing functionalities.Deliver high-performance, visually stunning UI that meets the expectations of creative professionals.Make architectural decisions throughout our frontend stack (Next.js, Zustand, React Flow, Convex, Vercel).Implement features that encompass the entire stack.Ideal Candidates Will Have:7+ years of experience developing web applications, with a proven track record of delivering polished products at scale.5+ years of extensive experience with React and TypeScript, possessing strong views on component architecture, state management, and performance optimization.Hands-on experience in creating high-performance, visually appealing web applications.Experience in building successful products from the ground up.Demonstrated technical leadership skills: guiding direction, making architectural choices, and uplifting fellow engineers.Exceptional Candidates Might Also Possess:Experience with AI-driven applications.Familiarity with specialized web media APIs: WebGL (@react-three/fiber), WebGPU, WebCodecs, or WebAssembly.