Applied AI Engineer - Product & GTM

About Sygaldry Technologies Sygaldry Technologies develops quantum-accelerated AI servers that push the boundaries of training and inference speeds for artificial intelligence. By combining quantum computing with AI, the team addresses the rising demands of computational power and energy efficiency. Their servers integrate multiple qubit types in a single, f…

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

About Our TeamThe Go-To-Market (GTM) Innovation team at OpenAI is a dynamic and innovative group dedicated to transforming customer engagement through cutting-edge applications of our advanced technology. As a key internal incubator, we enhance the effectiveness of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. Our mission is to reshape customer interactions, leverage learnings from every engagement, and discover unique ways to illustrate the value of OpenAI's offerings.About the RoleWe are on the lookout for product-oriented software engineers to join our GTM Innovation team. In this pivotal role, you will collaborate closely with go-to-market teams to gain insights into their workflows, pinpoint opportunities for improvement, and develop innovative solutions utilizing OpenAI's API platform.Your responsibilities will span from rapid prototyping to production deployment, directly influencing customer interactions with our technology in real-world settings. This role is perfect for engineers eager to engage with users, take ownership of end-to-end outcomes, and contribute to defining new categories of enterprise software.Key Responsibilities:Develop impactful applications and tools that enhance OpenAI’s go-to-market capabilities.Manage the full product lifecycle for GTM: from prototyping and iteration to shipping and maintenance.Collaborate with Sales, Technical Success, and Revenue Operations to identify and address user needs.Utilize OpenAI’s models creatively to tackle real-world customer and internal workflow challenges.Translate insights into actionable feedback for Applied and Research teams to guide product evolution.Qualifications:4+ years of experience as a software engineer, particularly in user-facing systems.Experience as a founder or an early engineer in a startup environment where you built a product from the ground up is a significant advantage.Proficiency in Python or JavaScript, with experience in building full-stack applications.Experience in developing or prototyping LLM-powered workflows using the OpenAI API or similar technologies.A proactive approach, a sense of urgency, and a strong sense of ownership in your work.A passion for building impactful software and a desire to be close to end-users.

Join the Visionaries at Automat!At Automat, we are a collective of innovative technologists hailing from prestigious backgrounds at Google Creative Lab and Samsung’s innovation Think Tank. Our mission is to transform the future of business through intelligent agents that enhance operational efficiency and eventually manage enterprises autonomously. We are leaders in redefining Enterprise AI Agents and Intelligent Document Processing, creating cutting-edge tools and infrastructure to seamlessly integrate AI advancements into practical applications.We cherish curiosity, teamwork, and impactful contributions over strict credentials. If you are passionate about AI and automation, excel in dynamic and creative settings, and yearn to engage in groundbreaking projects, we invite you to apply!While this is a senior role, we believe that unique talents and perspectives can surpass traditional experience metrics. We seek an individual who can make an immediate impact from day one and contribute to our team’s learning journey.Your RoleAs an Applied AI Engineer, you will operate at the crossroads of product development, engineering, and research. You will work hand-in-hand with skilled engineers and end users to create innovative tools for our internal teams and external clientele. Your contributions will help shape technical solutions, guide strategic initiatives, and enrich our company culture.Key Responsibilities:Collaborate with product and engineering teams to gain insights into customer challengesResearch and implement real-world applications of advanced AI modelsDesign and execute impactful solutions for both internal tools and customer-facing productsInfluence engineering practices, guide product development, and foster a collaborative cultureWhat Motivates You:A passion for curiosity, creativity, and quick adaptationCreating full-stack applications that bring AI to lifeKeeping abreast of the latest trends in AI and LLM prompting techniquesChallenging the limits of what is achievable with AI agentsThriving in fast-paced, collaborative environments

About WorkOS WorkOS is revolutionizing the developer landscape by creating cutting-edge tools and APIs that empower businesses to achieve Enterprise Ready status. Our platform is the backbone for authentication, identity management, authorization, and other essential infrastructures, enabling developers to securely scale their products for large enterprises.Having recently secured a $100M Series C funding round, valuing the company at $2B, we are supported by leading investors such as Meritech, Sapphire, Greenoaks, Craft, Abstract, and Audacious. WorkOS is proud to serve many of the fastest-growing AI companies, including OpenAI, Cursor, Perplexity, Vercel, and Plaid.As AI technology evolves, WorkOS stands at the forefront of Human and Agent Authentication, Identity, and Access Control, helping businesses navigate crucial questions about agent identity and permissions. Our rapidly expanding customer base features hundreds of innovative software companies developing the next generation of enterprise-ready solutions.About the RoleWe are assembling an Applied AI team dedicated to significantly enhancing productivity across Engineering, Sales, Support, and Operations while also developing AI functionalities for our clients.As an Applied AI Engineer, you will design and deploy transformative AI systems that redefine how WorkOS develops, markets, and supports its software. You will focus on creating robust tools and workflows that are essential for daily operations, while also exploring novel AI capabilities for our users.Join a small, high-ownership team that:Identifies challenges based on measurable impact.Rapidly transitions from idea to prototype to production in days or weeks.Quickly adapts to evolving models, tools, and best practices.This role offers substantial visibility across the organization.What You’ll DoCollaborate closely with Engineering, Sales, Support, and Operations to identify high-impact internal challenges where AI can enhance efficiency or facilitate new workflows.Design and construct tools that integrate seamlessly into daily operations—agents, automations, and workflows that are reliable, observable, and easy to maintain.Leverage LLMs, embeddings, retrieval systems, and tool-calling to connect with documents, Slack, GitHub, CRM systems, analytics, support frameworks, and internal services.Transform repetitive, multi-step manual tasks into streamlined, AI-driven processes that span various applications and data sources.Stay informed about emerging models and tools, conduct focused experiments, and assist the team in continuous improvement.

About Us:At LangChain, we strive to revolutionize the accessibility of intelligent agents. Our goal is to provide a robust framework for agent engineering that empowers developers to transition from initial prototypes to production-ready AI agents that can be trusted by teams. What started as a suite of widely embraced open-source tools has evolved into a comprehensive platform designed for the building, assessment, deployment, and management of agents at scale.Currently, our tools, including LangChain, LangGraph, LangSmith, and Agent Builder, are utilized by various teams delivering tangible AI solutions across both startups and large corporations. Millions of developers depend on LangChain to empower AI initiatives at prestigious companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised in our Series B round from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in a phase of rapid growth, continuously innovating new products while ensuring every team member has a significant impact on our development and collaborative processes. LangChain is a place where your contributions can influence the real-world application of this transformative technology.About the Role:We are seeking talented Applied AI Engineers to assist in creating AI agents that enhance various aspects of LangChain, from Marketing and Go-To-Market strategies to Recruiting, Support, Internal Tools, and our Core Product.In this position, you will take ownership of specific problem areas, collaborating closely with relevant teams to design, construct, and deploy production-grade agents, workflows, and applications that revolutionize our operational processes. Your contributions will directly support LangChain’s vision of making intelligent, autonomous software a reality for both our internal teams and our clients. Some projects may be open source, contributing to the LangChain and LangGraph ecosystems while establishing new benchmarks for AI development practices.If you are a full-stack software engineer eager to implement AI agents in practical use cases and witness their impact on business outcomes, we invite you to apply.

Join lilasciences as a Product Lead specializing in Software and Applied AI, where you will spearhead innovative projects that leverage cutting-edge AI technologies. In this pivotal role, you will collaborate with cross-functional teams to define product vision, strategy, and execution, ensuring alignment with user needs and market trends.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Join Our Team as an Applied AI EngineerAt Rowspace, we're at the forefront of AI research and engineering, and we are looking for an Applied AI Engineer to help revolutionize how our platform uncovers vital financial insights. Your week may involve developing and deploying AI agents based on client feedback, creating evaluation frameworks for AI performance, and designing sophisticated retrieval systems to optimize AI within financial workflows.Your ResponsibilitiesIntegrate groundbreaking AI research to develop systems that comprehend financial contexts and business concepts.Construct retrieval pipelines that intelligently extract and synthesize insights from unstructured data sources such as PDFs, emails, and presentations.Develop workflows that empower AI systems to analyze financial relationships, conduct benchmarking, and perform comparative analyses.Design and maintain knowledge graphs that represent intricate financial relationships, entity connections, and market dynamics.Create evaluation frameworks to assess and enhance AI performance in investment research, due diligence, and portfolio monitoring.Implement systems ensuring traceability from AI outputs to primary data sources.Experiment with innovative LLM orchestration patterns and context management techniques tailored for financial applications.Guide the technical direction and establish best practices for AI application development at Rowspace.Engage in rapid iteration with direct customer feedback to continuously enhance AI systems based on real-world usage.Oversee the deployment and operation of production systems end-to-end, ensuring reliability, performance, and maintainability across the technology stack.

About Komodo Health We Bring Data to Life Komodo Health’s mission is to alleviate the global burden of disease. The company’s Healthcare Map integrates de-identified patient data with advanced algorithms and clinical expertise, creating a detailed view of the U.S. healthcare system. This foundation supports a suite of software applications that help partners address complex healthcare challenges, monitor patient behaviors, spot treatment trends, and identify care gaps. Komodo Health values excellence, growth, results, and enjoying the journey. The team brings together professionals from varied backgrounds who share a commitment to improving health outcomes. Role Overview: Applied AI Engineer Healthcare in the U.S. is intricate, and Komodo Health tackles these challenges through data-driven solutions. By mapping the patient journey nationwide, the company helps pharmaceutical firms, payers, and healthcare systems make decisions that improve patient care. Labs@Komodo builds AI-native platforms and systems that turn data into actionable insights. The team developed Marmot, Komodo’s AI-native product, which embeds AI into both the user interface and development workflow. By combining Komodo’s healthcare data with modern large language models (LLMs), Marmot delivers real-world insights for healthcare stakeholders. What You Will Do Design and implement end-to-end AI solutions for real products and internal tools. Work at the intersection of applied research, engineering, and product development. Integrate modern AI techniques into scalable, production-ready systems. Collaborate with product, platform, and data teams to build AI capabilities that advance healthcare data use. Location San Francisco, CA

About the Role sfcompute is hiring an Applied AI Engineer in San Francisco, CA. This position focuses on building and deploying AI models that support real business needs. The work involves using advanced technologies to create practical solutions that improve how teams operate. What You Will Do Develop and implement AI models tailored to business goals Work closely with teams across the company to understand their challenges Deliver solutions that boost productivity and efficiency

Role Overview Applied Compute is hiring a Go-To-Market Engineer in San Francisco. This role bridges engineering and commercial strategy, supporting both technical development and customer engagement. The position centers on building product demos, prototyping solutions in real time, and automating workflows that help move prospects to signed agreements. The Go-To-Market Engineer also strengthens internal tools for the sales team and works closely with other teams to highlight the platform’s capabilities. What You Will Do Develop and deliver customer-facing demos that highlight Applied Compute’s platform, including custom agents tailored to specific buyer needs and workflows. Prototype solutions live during customer interactions, moving quickly from discovery calls to working models. Partner with the Applied AI team on active deals, guiding the technical narrative for proofs of concept and pilot projects. Design AI-powered tools to support go-to-market efforts: streamline account research, personalize outreach, improve competitive intelligence, and refine pipeline reporting. Build reference implementations, set up demo environments, and create reusable agent patterns to accelerate future sales cycles. Bring knowledge of the AI landscape to influence product positioning and pricing conversations. Collaborate with product and engineering teams to spot customer trends that could shape new features. Qualifications Strong engineering background with the ability to quickly build functional prototypes. Experience with modern AI tools and frameworks, such as LLM APIs, agent orchestration, evaluation tools, and a broad understanding of the model ecosystem. Comfort working directly with customers, including technical stakeholders, and presenting complex features through clear demonstrations. Self-driven and focused on delivering results. Preferred Experience Interest in handling a variety of tasks, from account research and deal support to internal tool development and process improvement, often within the same day. Preference for automating tasks, building templates, workflows, and playbooks to support go-to-market growth. Background in customer-facing roles.

Role Overview simple-ai is hiring a GTM Engineer in San Francisco. This position shapes how our products reach customers and how we deliver value in the market. The role blends technical development with hands-on collaboration across different teams. What You Will Do Develop and integrate solutions that expand and improve our product lineup Work closely with colleagues from multiple departments to align on go-to-market strategies Help drive customer satisfaction by ensuring our offerings meet real user needs What We Look For Technical expertise relevant to building and integrating product solutions Strong collaboration skills, especially when working with cross-functional teams Ability to support the company’s vision and business goals through hands-on execution

Join Thorin as a Founding Product Manager!As a pioneering member of our team, you will play a pivotal role in shaping the future of applied AI solutions that redefine productivity in modern organizations.At Thorin, we leverage cutting-edge AI technology to create proactive agents that continuously monitor and optimize workflows across platforms like Slack, email, and meetings, ensuring that no task falls through the cracks.Our approach goes beyond traditional AI tools; we build real-time digital twins of organizational processes, enabling seamless automation and actionable insights over extended timeframes.With the visionary guidance of Joe Lonsdale and the backing of 8VC, Thorin is set to become a cornerstone of AI-driven productivity.

About ArtisanAt Artisan, we are pioneers in creating fully autonomous AI employees – not mere chatbots or copilots, but digital workers capable of performing meaningful tasks.Our flagship product, Ava, is an AI-powered Business Development Representative (BDR) utilized by hundreds of companies. Ava excels at researching leads, crafting and sending emails in clients' unique voices, managing complex outbound sequences, autonomously optimizing her performance, and even addressing objections while scheduling meetings. She is not just a tool; she is a collaborative teammate.As a proud Y Combinator W24 company, we have successfully raised over $35 million in funding and are currently achieving over $8 million in annual recurring revenue (ARR). We are now embarking on the development of Ava 2.0, which will redefine the capabilities of AI employees. The engineering challenges involved are substantial, and the scope of our project is vast.Role OverviewJoin our innovative team as the third Applied AI Engineer at Artisan! You will be instrumental in pushing the boundaries of AI employee capabilities and guiding our product's future direction.Evaluate LLMs: Select optimal models for various tasks while considering cost, latency, reliability, and accuracy.Architect Prompt Frameworks: Design agent behaviors for Ava's essential workflows such as email generation, chat interactions, meeting scheduling, prospect research, and more.Optimize Multi-Step Agent Chains: Implement retrieval-augmented generation (RAG), integrate web searches, and utilize tools like CRMs and APIs.Drive Infrastructure Decisions: Lead choices related to routing, orchestration, evaluation loops, and persistent memory for agents.Build Safety and Trust Mechanisms: Collaborate with the product team to design user guardrails, fail-safes, and success metrics.Explore Emerging Modalities: Investigate and deploy voice AI, talking head technology, and multi-modal reasoning to enhance Ava's human-like interactions.Design Autonomous Agent Workflows: Create workflows that enable strategic decision-making, real-time self-optimization, and measurable outcomes.Location: San Francisco, New York, or Remote USATeam: AIReports to: CPTO, Sam Stallings

Join Our Mission at Abby CareAt Abby Care, we are dedicated to transforming the landscape of family caregiving, addressing one of the most significant challenges of our time. Our goal is to empower over 50 million unpaid family caregivers across the United States by providing them with the training and support they need to get compensated for the invaluable care they provide at home.We are developing a cutting-edge, tech-driven family-first care platform designed to enhance care delivery, improve health outcomes, and ensure a superior experience for families nationwide. As we expand our impact, we are seeking passionate individuals to join our team. With partnerships alongside leading insurance providers, healthcare organizations, and community groups, we are backed by top-tier, mission-driven venture capitalists who share our vision of supporting families throughout the country.Our team comprises high-caliber professionals with backgrounds at renowned companies such as Uber, Scale AI, DoorDash, Dropbox, and Meta. Together, we are reimagining family caregiving.Your Role as an Applied AI EngineerWe are on the lookout for a skilled and motivated Applied AI Engineer to join our dynamic team. Reporting to the VP, Head of Engineering, this full-time position is based in San Francisco, CA, with an in-person presence required four days a week.In this role, you will play a crucial part in designing and building AI-driven products that serve as intelligent copilots for families and healthcare providers. You will create AI systems that facilitate family caregiving, enhance clinician support in care delivery, and explore innovative home-based care models. Your work will involve hands-on engagement with AI models and real-world clinical and operational data, contributing to the evolution of AI-assisted caregiving and shaping the future of care as a key early engineer.

Role Overview:As an Applied AI Engineer at Mem0, you'll lead the charge from concept to execution. Your mission is to transform abstract customer use cases into tangible proofs-of-concept that vividly demonstrate Mem0's capabilities. This entails rapid full-stack prototyping, leveraging AI tools, and rigorously experimenting with memory retrieval methodologies until the end-to-end use case is operational. Collaborating closely with Research and Backend teams, you'll clearly communicate trade-offs and deliver successful prototypes ready for production refinement.Your Responsibilities:Develop Proofs of Concept: Create comprehensive demos (UI + APIs + data) that seamlessly integrate Mem0 into customer workflows.Innovate in Memory Retrieval: Experiment with various embeddings, indexing techniques, hybrid search, re-ranking, chunking/windowing, prompts, and caching to achieve optimal task-level quality and latency.Collaborate on Prototypes: Implement groundbreaking ideas and techniques sourced from academic research, compare them against established baselines, and adopt the most effective solutions.Design Evaluation Frameworks: Establish small gold sets and lightweight metrics to assess POC success; equip demos with basic telemetry.Integrate AI Tools: Combine LLMs, vector databases, Mem0 SDKs/APIs, and third-party services into cohesive workflows.Foster Close Collaboration: Work alongside Backend teams to establish clean contracts and data models; collaborate with Research on hypotheses; share insights and future steps.Document and Handoff: Produce clear documentation, scripts, and templates to facilitate rapid production transition by Engineering.Minimum Qualifications:Full-Stack Proficiency: Experience with Next.js/React for front-end development and Python backends (FastAPI/Django/Flask) or Node.js as required.Proficient in Python and TypeScript/JavaScript; capable of building APIs, wiring data models, and deploying quick demos.Hands-on experience with the LLM/RAG stack: embeddings, vector databases, retrieval strategies, and prompt engineering.Proven ability to rapidly prototype: transforming ideas into demos within days, not months; clear documentation of outcomes and trade-offs.Capacity to design small, impactful evaluations for use cases (quality + latency) and iterate based on data-driven evidence.Outstanding communication skills with Research and Backend teams; ability to produce crisp specifications, readable code, and honest status updates.