Senior Software Engineer - Planner Reasoning

Join VOLT, a trailblazer in crafting advanced AI perception systems that enhance safety and security through real-time risk detection in the physical world.We are on the lookout for a Senior Applied AI & Machine Learning Engineer dedicated to designing, optimizing, and deploying multimodal AI models capable of functioning reliably in diverse real-world scenarios. This is a hands-on role focused on transitioning models from conceptual data to practical production, encompassing both edge devices and cloud infrastructures.In this position, you will engage with vision, video, and language-based models that interpret real-world scenes and events, ensuring their accuracy, latency, robustness, and cost-effectiveness in production systems.Reporting directly to the Head of Engineering, you will play a pivotal role in advancing VOLT AI’s core perception platform.

About TavusTavus is at the forefront of innovation in human computing. Our mission is to develop AI Humans: an advanced interface that bridges the gap between individuals and machines, eliminating the friction found in current technologies. Our state-of-the-art human simulation models empower machines to see, hear, respond, and even exhibit realistic appearances—facilitating genuine, face-to-face interactions. AI Humans integrate the emotional insight of humans with the scalability and dependability of machines, making them reliable agents accessible 24/7, in any language, on our terms.Imagine having access to an affordable therapist, a personal trainer that fits your schedule, or a team of medical assistants dedicated to providing personalized care for every patient. With Tavus, individuals, enterprises, and developers have the tools to create AI Humans that connect, comprehend, and act with empathy on a large scale.We are a Series A company supported by esteemed investors such as Sequoia Capital, Y Combinator, and Scale Venture Partners.Join us in shaping a future where machines and humans genuinely understand one another.The PositionWe are seeking an AI Researcher to join our core AI team and advance the frontiers of multimodal conversational intelligence. If you excel in dynamic environments, enjoy transforming abstract concepts into functional code, and derive motivation from pushing the boundaries of possibility, this role is designed for you.Your Responsibilities Engage in research focusing on Foundational Multimodal Models specifically in the realm of Conversational Avatars (such as Neural Avatars and Talking-Heads).Develop models for video, audio, and language sequences utilizing Autoregressive and Predictive Architectures (e.g., V-JEPA) and/or Diffusion methodologies, with a focus on temporal and sequential data rather than static images.Collaborate closely with the Applied ML team to implement your research into production systems.Remain at the forefront of multimodal learning and assist us in defining what “cutting edge” will mean in the future.Ideal Candidate ProfilePhD (or nearing completion) in a relevant field, or equivalent practical research experience.Experience in multimodal machine learning, particularly focused on conversational interfaces.

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.

Role Overview Arcade is looking for a Senior Applied AI Engineer in the San Francisco Bay Area. This position focuses on building solutions that use artificial intelligence to improve user experiences across Arcade’s products. What You Will Do Work with cross-functional teams to design and develop AI-driven features. Apply expertise in AI algorithms and software development to solve challenging problems. Contribute to the direction and impact of Arcade’s AI initiatives. Who We’re Looking For Extensive experience with artificial intelligence technologies. Strong background in software development and AI algorithms. Comfort working collaboratively with teams from different disciplines.

Our MissionAt Altos Labs, we are dedicated to revitalizing cell health and resilience through innovative cell rejuvenation techniques to reverse disease, injury, and the disabilities that arise throughout life.Discover more about our vision at altoslabs.com.Our ValuesOur core value is simple yet powerful: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe understand that diverse perspectives are crucial for scientific breakthroughs and exploration. At Altos, exceptional scientists and industry leaders collaborate from around the globe to drive our shared mission forward. We prioritize a culture of belonging, ensuring that every employee feels valued for their unique contributions. We are all responsible for maintaining a diverse and inclusive workplace.Your Contributions to AltosJoin Altos Labs in creating a premier AI ecosystem aimed at addressing the most intricate challenges in human biology. You will be instrumental in designing and developing high-performance, scalable solutions that integrate high-dimensional biomedical imaging with molecular and linguistic data.Your role will involve implementing large-scale multimodal data fusion, advancing beyond basic image analysis to develop predictive models that span various biological domains. You will engage directly with data and coding, partnering with our engineering team to ensure these models are scalable, efficiently trainable in distributed cloud environments, and accessible to our global research network.Key ResponsibilitiesModel Development: Create, implement, and train large-scale foundational models (e.g., Vision Transformers, Multimodal LLMs) capable of embedding spatial data and integrating diverse modalities.Innovative Data Fusion: Apply cutting-edge cross-domain mapping and fusion techniques to align heterogeneous biological datasets.Scaling & Training: Develop and oversee high-performance ML pipelines designed to handle petabyte-scale image collections and multi-omics data streams in a cloud infrastructure.Technical Collaboration: Work closely with experimental scientists and software engineers to convert biological complexity into high-performance code and reliable distributed systems.Who You AreWe seek a technical expert who excels at unraveling "unsolvable" challenges through programming and meticulous experimentation. We welcome candidates at the Scientist I, Scientist II, or Senior Scientist levels.

About Hike Medical Hike Medical is building the future of musculoskeletal care by combining advanced technology with practical healthcare solutions. Based in San Francisco’s Rincon Hill, the team develops a platform that spans three core areas: an AI-powered vision system for rapid web-based foot scans that generate custom 3D-printed orthotics, an AI agent platform that manages the entire DME workflow from intake through claims, and SoleForge, a high-scale 3D printing facility for custom medical devices. Hike Medical partners with some of the world’s largest employers and major orthotics and prosthetics organizations. Fortune 50 companies trust the platform to support employee well-being, and a broad network of clinical partners keeps the company connected to real-world needs. Custom insoles are just the starting point. The long-term goal is to reshape the industry with bionic devices: AI-designed, robotically manufactured orthotic and prosthetic products. The company aims to reach this milestone by 2040. Learn more at bionics2040.com. With $22 million raised across Seed and Series A rounds from leading investors, Hike Medical offers a results-oriented culture for those interested in the intersection of AI, manufacturing, and healthcare.

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.

Our Mission & Values:At Drata, we empower organizations to build and maintain trust with their users, customers, partners, and prospects. We serve as the verification layer that demonstrates why exceptional companies deserve the trust they seek to cultivate.We embody our values in our daily operations. Trust is our foundation, ensuring consistency in all we do. Integrity guides us to act ethically and responsibly. Our customer-centric approach places the needs of those we serve at the forefront of our efforts. Our competitive spirit drives us to outperform ourselves consistently. Diversity enriches our perspectives, leading to innovative solutions. Prioritizing automation allows us to enhance efficiency while conserving resources.Our Culture & Work Style At Drata, we are more than just software developers; we are cultivating a mindset. Our approach is characterized by:Ownership Mentality: Take charge of your responsibilities. Strive for continuous improvement. Achieve impactful results.Agility: Make swift decisions. Embrace rapid learning. Create immediate impact.Customer Focus: Question assumptions. Deliver substantial value. Maintain a relentless drive.While we prefer candidates who can work in a hybrid model from our San Francisco office, we recognize that exceptional talent knows no geographical bounds. We are open to considering remote applicants from across the United States who align closely with the role.If you thrive in an empowering environment, surrounded by intelligent, mission-driven colleagues, you will find a home here.Why Join the Drata Team?To truly understand the Driver's Mindset, observe it in action. We are an award-winning, mission-oriented team of 600+ individuals globally, united by a culture that prioritizes trust, speed, and ongoing growth.Experience Our Velocity: Watch our CEO, Adam Markowitz, as he discusses our journey from $0 to $100M ARR in just four years.Discover Team Insights: Visit our "Life at Drata" page for employee testimonials about our collaborative spirit and the growth opportunities we provide.See the Impact: Learn about our certifications and how we foster a positive workplace.

Tavus – Multimodal AI Model OptimizationResearch EngineerAt Tavus, we are pioneering the human aspect of AI technology. Our objective is to make human-AI interactions as seamless and natural as in-person conversations, allowing for a human touch in areas that were once considered unscalable.We accomplish this through groundbreaking research in multimodal AI, focusing on human-to-human communication modeling (encompassing language, audio, and video) and the development of audio-visual avatar behaviors. Our innovative models drive applications ranging from text-to-video AI avatars to real-time conversational video experiences across sectors such as healthcare, recruitment, sales, and education.By empowering AI to perceive, listen, and engage with an authentic human-like presence, we are laying the groundwork for the next generation of AI workers, assistants, and companions.As a Series B company, we are supported by renowned investors, including Sequoia, Y Combinator, and Scale VC. Join us as we shape the future of human-AI interaction.The RoleWe are seeking an accomplished Research Scientist/Engineer with expertise in model optimization to be a vital part of our core AI team.The ideal candidate thrives in dynamic startup environments, is adept at setting priorities independently, and is open to making calculated decisions. We are moving swiftly and need individuals who can help navigate our path forward.Your MissionTransform state-of-the-art research models into fast, efficient, and production-ready systems through techniques such as sparsification, distillation, and quantization.Oversee the optimization lifecycle for critical models: establish metrics, conduct experiments, and evaluate trade-offs among latency, cost, and quality.Collaborate closely with researchers and engineers to convert innovative concepts into deployable solutions.RequirementsExtensive experience in deep learning with PyTorch.Practical experience in model optimization and compression, including knowledge distillation, pruning/sparsification, quantization, and mixed precision.Familiarity with efficient architectures such as low-rank adapters.Strong grasp of inference performance and GPU/accelerator fundamentals.Proficient in Python coding and adherence to best practices in research engineering.Experience with large models and datasets in cloud environments.Capability to read ML literature, reproduce results, and modify ideas accordingly.

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

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 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

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 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.

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