Applied AI Engineer

Join our innovative team at Savvy as an Applied AI Infrastructure Specialist. In this role, you will leverage cutting-edge technologies to enhance our AI capabilities and streamline infrastructure processes. Collaborate with a dynamic team of experts to implement solutions that drive efficiency and effectiveness within our systems. This position offers an exciting opportunity to work at the forefront of artificial intelligence and infrastructure development.

Role overview As Engineering Manager for Applied AI & Platform at norm-ai in New York City, this position leads a team dedicated to bringing artificial intelligence into the company’s platform products. The manager sets direction for projects, supports the technical development of engineers, and plays a key role in shaping the vision for how AI will influence future product offerings. What you will do Guide engineers as they develop and integrate AI technologies into core platforms Oversee project planning and execution to ensure initiatives match company objectives Provide technical leadership and mentorship to help the team achieve strong results Work with stakeholders to define the technology roadmap and platform strategy

Join Norm Ai as a Software Engineer in Applied AIAt Norm Ai, a trailblazer in Legal & Compliance AI, we manage a client portfolio exceeding $30 trillion in assets. Our innovative approach transforms legal codes into AI solutions, enabling businesses to enhance their legal and compliance operations with speed and reliability.Our cutting-edge platform merges advanced AI technology with proprietary legal reasoning systems and in-depth legal expertise, ensuring robust compliance and operational efficiency.Backed by industry giants including Blackstone, Bain Capital, and Vanguard, we have successfully secured over $140 million in funding to accelerate our growth. Our pioneering Legal Engineering initiative trains lawyers to develop and oversee specialized AI agents using our no-code tools, creating a new frontier in legal workflows powered by Large Language Models.Our technology is utilized by some of the world’s leading institutions, and we are rapidly expanding our team across various departments.Fluency in AI Required:All team members at Norm Ai are expected to be proficient in AI, utilizing it daily to enhance their work processes. Candidates should be ready to showcase their practical AI experience, including tools and outcomes, during the interview process.Your Role:As a Software Engineer specializing in Applied AI, you will be responsible for designing and developing enterprise-level AI agents to streamline complex legal and compliance workflows. This is a hands-on role where you will collaborate closely with software engineering, legal engineering, and product teams to enhance the capabilities of our automation platform.

About AmigoAmigo collaborates with healthcare organizations to implement advanced AI infrastructure that enhances patient care and provider efficiency. Our AI agents streamline clinical workflows and engage patients throughout their healthcare journey—from pre-visit intake and care navigation to post-visit care plans and ongoing patient monitoring.Recently, we secured a Series A funding round from top-tier investors including Madrona, General Catalyst, and Optum Ventures. Our technology is validated by leading academic medical institutions, and our agents have successfully managed over 3 million patient encounters, with a goal to multiply that number tenfold this year.About This RoleAs an Applied AI Engineer at Amigo, you will develop and deploy production-grade AI agents using our established architecture and verification framework. Your role will involve direct collaboration with clinical teams and enterprise clients to create agents capable of delivering complex, specialized services with proven reliability. This position demands a strong technical implementation background, paired with the capacity to translate clinical knowledge into effective systems that adhere to regulatory compliance.Your ResponsibilitiesDevelop context graphs that empower agents to choose the appropriate reasoning mode (lookup, pattern recognition, exploration) based on the complexity of the problem at hand.Construct and refine agent configurations, which include static personas, dynamic behaviors, and functional memory systems.Design bounded Operational Patient Domains (OPDs) with clear inclusions, exclusions, capabilities, and escalation protocols.Establish verification loops and simulation-based testing to assess agent performance against defined customer KPIs.Write Python code for tool integrations and API orchestration within client environments.Develop evaluation suites that govern deployments based on customer-specific success metrics.Engage with domain experts through structured interviews to capture critical reasoning patterns and clinical protocols.Provide support to technical power users through git-based workflows, facilitating rapid iterations.Implement adversarial testing to proactively identify and mitigate potential failure modes.Ensure agents maintain audit-ready provenance through version control and evidence links.Contribute to the systematic development of implementation patterns across various problem domains.What We Are Looking ForA minimum of 2 years of experience in AI engineering or a related field.Proficiency in programming languages, particularly Python.Strong understanding of AI frameworks and deployment methodologies.Excellent communication skills to work effectively with cross-functional teams.A passion for improving healthcare delivery through innovative technology.

At PermitFlow, we are revolutionizing the construction landscape in America. As an applied AI firm, we assist builders across the nation in overcoming significant information hurdles related to what can be built, where, and how. Our AI-driven workforce empowers the fastest-growing construction enterprises to expertly manage processes ranging from permitting and licensing to inspections and project closeouts. This initiative is crucial for accelerating the development of housing, clean energy, and infrastructure nationwide.Despite the construction sector's impressive $1.6 trillion valuation, it is plagued by delays, inefficiencies, and lost opportunities. PermitFlow has already contributed to delivering enhanced speed, accuracy, and visibility to over $20 billion in development projects, aiding contractors in minimizing compliance timelines, mitigating project risks, and scaling operations confidently.As the U.S. embarks on a new capital expenditure supercycle across data centers, factories, housing, and renewable energy, joining PermitFlow means laying the groundwork for the AI infrastructure that will underpin every construction project, thereby fueling the next wave of reindustrialization.Having successfully raised over $90 million, including our recent Series B funding, we have garnered support from premier investors like Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, alongside backing from industry leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters is located in New York City, operating on a hybrid schedule (three in-office days per week). We prefer candidates based in NYC or those willing to relocate.

Arlo Health is revolutionizing the health insurance landscape by harnessing the power of AI. The current healthcare experience can be costly, confusing, and frustrating, leading individuals to postpone necessary care. We are transforming this narrative by reimagining health plans as proactive partners in health management. Our AI-driven platform offers continuous, tailored support to our members—guiding them through benefits, scheduling appointments, accessing premium care, and alleviating financial concerns. With an innovative risk-pricing engine at its core, Arlo Health is rapidly expanding, boasting $XXXM in premiums and serving tens of thousands of individuals, with growing interest from brokers, employers, and partners. Supported by esteemed investors such as Upfront Ventures, 8VC, and General Catalyst, our team blends extensive industry expertise (including experience from Palantir and YC) with a vision to modernize a $1 trillion market.About the RoleAs an Applied AI Engineer, you will spearhead the development of essential product experiences that enhance our members' healthcare interactions.Design and launch innovative AI-native features for our growing member base.Create and implement advanced LLM-powered agents capable of autonomously navigating complex healthcare processes.Enhance our core AI infrastructure by refining prompt orchestration, context engineering, retrieval systems, and evaluation methodologies.Your ImpactTo give you a sense of the projects you may lead:AI-Powered Triage: Develop an intelligent tool that assists patients in understanding their symptoms and directs them to the appropriate care setting (ER, Urgent Care, or PCP). This will help prevent unnecessary visits and save members thousands in out-of-pocket expenses.An Infinitely Scalable Care Partner: Build a conversational AI that aids patients in understanding their health, from interpreting lab results to clarifying treatment plans. This will provide members with 24/7 support and an unmatched level of patience that traditional systems lack.Proactive Health Engine: Lead the creation of an outreach tool that analyzes claims data to deliver personalized, timely campaigns for preventive screenings and medication adherence. You will shift healthcare communications from static emails to dynamic, engaging interactions.

Role Overview Greenboard is hiring an Applied AI Engineer in New York City. This role focuses on building and launching AI-powered features that improve Greenboard’s products and services. Work closely with engineers and data scientists to bring new AI ideas into production. What You Will Do Design, develop, and deploy AI solutions to support product enhancements Collaborate with team members to integrate advanced AI technologies Contribute to projects that shape the direction of AI at Greenboard Location This position is based in New York City.

Anthuria creates AI tools for skilled nursing facilities, turning detailed clinical notes into usable insights that support patient care, reimbursement, and compliance. The team includes healthcare industry veterans who understand the real-world challenges of clinical operations. With support from a healthcare-focused family office, Anthuria already works with 180 facilities across more than 10 states. Collaboration, curiosity, and technical excellence shape Anthuria’s culture. Team members have a direct influence on technical direction, company practices, and the products themselves. The company values open communication and aims to deliver practical value to clients. Role overview The Senior AI Applied Scientist role is based in New York City. This position is part of Anthuria’s early-stage technical team, offering the chance to influence both product and culture. What you will do Develop AI-driven features: Collaborate with cross-functional teams to design and build AI-powered tools that improve post-acute care operations. Write production-grade Python code and combine software engineering with machine learning to deliver reliable solutions. Manage evaluation frameworks: Define evaluation methods and metrics for AI systems. Test, monitor, and assess model performance to support rapid iteration and high-quality product delivery. Analyze requirements and user behavior to align with strategic goals. Foster a metrics-driven culture: Build data pipelines, product analytics, and experimentation processes that keep the team focused on measurable results. Communicate technical concepts clearly to stakeholders from various backgrounds. Ensure compliance and data security: Integrate security and HIPAA-grade compliance into every AI system, pipeline, and experiment to protect sensitive patient data as Anthuria grows. Advance AI innovation: Stay active in research, learn from customer workflows, and contribute ideas to improve Anthuria’s AI solutions.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The team includes researchers, engineers, policy experts, and business leaders, all working together to ensure AI benefits both users and society. Role Overview The Commercial Solutions Architect, Applied AI, joins Anthropic’s Applied AI team as a Pre-Sales Architect. This role centers on demonstrating the value of Claude and helping customers integrate and deploy it within their technology stacks. The position combines technical expertise with customer engagement to design LLM solutions for complex business needs, always maintaining Anthropic’s standards for safety and reliability. As a Commercial Solutions Architect, expect to work closely with key accounts, building reusable solution blueprints, demos, and enablement materials that support the wider adoption of Claude across Anthropic’s commercial clients. Collaboration is central: work alongside Sales, Product, and Engineering teams to guide clients from early technical discovery through to deployment. Use your knowledge to help customers understand Claude’s capabilities, develop evaluation strategies, and design scalable architectures that unlock the full potential of Anthropic’s AI systems. Location San Francisco, CA or New York City, NY

At Mirage, we are revolutionizing the world of video production with our AI-driven platform, which enhances editing and production through intuitive natural language processing. Our advanced models are designed to emulate the creative choices of seasoned editors, significantly boosting productivity for experienced teams while democratizing video creation for everyone.As part of our interdisciplinary team, you will confront some of the most challenging technical and creative obstacles in the realm of generative media. Joining us at this early stage means you will play a crucial role in solving fundamental issues that have yet to be tackled in the industry, making a substantial impact on the future of creative expression.Learn more about us:Product (Captions by Mirage)Research (Seeing Voices, technical white paper)Updates (Mirage on X / Twitter)Featured in TechCrunch, Forbes AI 50, and Fast Company.

Location: New York City (In-person) About This Opportunity We are building a remarkable team of AI engineers in New York City, comprised of innovators who have successfully launched transformative AI products used by millions. This role transcends standard office perks; it’s about collaborating with some of the brightest minds in AI to tackle intriguing challenges at scale. Join us in-person as part of a handpicked group aimed at pioneering breakthroughs, leveraging the extensive resources and reach of Automattic’s diverse ecosystem, which includes WordPress.com, WooCommerce, Tumblr, and more. Picture this as an elite AI laboratory with the scale and influence of Automattic’s comprehensive ecosystem. What You’ll Do Develop and launch user-focused AI features across Automattic’s array of products, from content creation tools to e-commerce solutions and messaging applications. Rapidly build and refine AI-powered products that make a direct impact on millions of users. Engage closely with Product Managers, designers, and fellow engineers in a dynamic environment geared towards innovation. Test and scale successful AI innovations from prototype to full production across various products. Push the limits of what can be achieved through exceptional AI teamwork. Stay updated with the latest AI advancements to enhance user experiences. You’ll Excel Here If You Have a track record of shipping AI features that have been utilized by users; practical experience is prioritized over theoretical knowledge. Possess exceptional talent; you are the individual that other skilled engineers aspire to collaborate with. Are full-stack proficient; comfortable working from model APIs to user interfaces. Can move quickly without compromising quality; adept at rapid prototyping while ensuring scalability. Thrive in collaborative settings; your best ideas stem from direct engagement with your team. Think with a product-first mindset; you understand that great AI is seamless for users, enhancing their experience effortlessly.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and effective guidance. The company’s mission is to make AI safe and beneficial for both users and society. The team includes researchers, engineers, policy experts, and business leaders, all working together to create AI that serves humanity’s needs. Beneficial Deployments Initiative The Beneficial Deployments initiative works to bring AI technology to communities that can benefit most. Anthropic partners with nonprofits, foundations, and mission-driven organizations, using Claude to support sectors like education, global health, economic mobility, and life sciences. The goal: help organizations address some of humanity’s toughest challenges. Role Overview: Global Leader, Applied AI Architects for Beneficial Deployments This role leads the Applied AI Architects team, which serves as the main technical partner for nonprofits and mission-driven organizations deploying Claude. The leader will build and grow a globally distributed team, helping turn advanced AI into practical solutions in areas such as education, health, and economic opportunity. The position also shapes how Anthropic approaches and executes key societal partnerships. What You Will Do Grow and guide a team of Applied AI Architects supporting mission-driven organizations worldwide Set the vision for scaling expertise from flagship partnerships to a broad network of AI-native organizations Oversee team dynamics, processes, and cross-functional relationships needed for success Work closely with leaders in Nonprofits, Product, Engineering, Policy, and GTM to help partners integrate Claude responsibly and effectively Represent Anthropic as a senior technical leader in high-profile partnerships, maintaining the company’s safety standards Who We’re Looking For Deep technical expertise in AI and experience leading technical teams Comfort working across sectors, regions, and partner types (from global health foundations to research institutions and nonprofits) Leadership skills to build, motivate, and scale a global team Ability to shape cross-functional collaboration and drive complex partnerships Commitment to responsible AI deployment and upholding safety standards Location San Francisco, CA or New York City, NY

Join Anthropic as a Solutions Architect specializing in Applied AI for Government Technology. In this pivotal role, you will leverage your expertise in artificial intelligence to design innovative solutions tailored to meet the needs of government clients, ensuring that our technology meets the highest standards of security and performance.Your responsibilities will include collaborating with cross-functional teams to develop AI-driven applications, advising clients on best practices, and contributing to the strategic vision of AI in government operations.

Who We AreAt Percepta, we are dedicated to revolutionizing vital industries through applied AI. Our commitment lies in ensuring that sectors that sustain our world—such as healthcare, manufacturing, and energy—harness the advantages of cutting-edge technology.To achieve this, we partner closely with prominent customers to facilitate AI transformation. Our team is equipped with:Expertise in engineering, product management, and researchMosaic, our proprietary toolkit designed for the swift deployment of intelligent workflowsStrategic alliances with leading firms like Anthropic, McKinsey, AWS, and others within the General Catalyst portfolioOur rapidly expanding team consists of Applied AI Engineers, Embedded Product Managers, and Researchers all driven by the mission to integrate AI advancements into tangible improvements in our everyday lives.Percepta operates as a strategic partnership with General Catalyst, a global leader in transformation and investment.About the RoleWe are seeking talented Applied AI Engineers to collaborate directly with customer executives, operators, and technical teams in defining and delivering impactful AI systems. Our focus is on developing and deploying production-grade AI agents and workflows that can significantly drive business value.As an Applied AI Engineer, you will:Shape the AI Vision: Partner with stakeholders to establish their long-term AI strategies and transformation roadmaps.Identify High-Leverage Use Cases: Analyze the overarching vision to discover and prioritize specific AI applications that link our ambitions to measurable business outcomes.Ship Real Products: Rapidly design and implement AI solutions that operate effectively in real-world scenarios, utilizing actual user interactions and data.Advance Our Core Product: Integrate insights from customer engagements into our Mosaic product, contributing to new features, patterns, and abstractions.

Join Crosby, the Future of Legal ServicesAt Crosby, we are redefining the landscape of corporate legal services through innovative technology and a collaborative spirit. Our team, composed of technologists and legal professionals, is committed to enhancing the relationship between lawyers and technology. Our goal is to expedite the review of complex documents while ensuring impeccable quality.Founded by legal industry leaders Ryan (Penn, Stanford Law, ex-Cooley, former GC) and John (Penn M&T, ex-Ramp, ex-Google), Crosby believes that:A robust legal system is fundamental to a thriving society.Legal work is a blend of art and science, and we are at the forefront of codifying systematic processes while enhancing human judgment.The true value of AI in law lies in delivering superior outcomes—achieving higher quality legal results efficiently.We pride ourselves on fostering an in-person culture at our NYC office.Your RoleAs an Applied AI Engineer, you will take ownership of the intelligent functionalities that drive the Crosby platform. Your responsibilities will encompass the entire lifecycle of AI features, from system architecture to model customization. This position is ideal for a product-focused engineer eager to leverage modern AI technologies and deliver impactful, reliable features.Key ResponsibilitiesCore AI System Development: Architect, develop, and scale pivotal AI features, including intricate Retrieval Augmented Generation (RAG) pipelines and intelligent workflows.Model Customization: Fine-tune and adapt language models to enhance their performance for specific legal applications where standard solutions may fall short.Quality Assurance: Create evaluation frameworks and monitoring systems to guarantee the reliability, accuracy, and efficiency of our AI solutions in a production environment.Pragmatic AI Application: Stay abreast of the latest AI research to identify effective tools and techniques that address immediate product challenges.Collaborative Deployment: Partner with cross-functional teams to ensure timely delivery of features.

About UsAt Percepta, we are dedicated to revolutionizing vital sectors through the power of applied AI. Our goal is to ensure that key industries such as healthcare, manufacturing, and energy harness the benefits of cutting-edge technology.We partner with leading organizations to facilitate AI transformation, providing:Expertise in engineering, product development, and researchMosaic, our proprietary toolkit designed for the swift deployment of intelligent architecturesStrategic alliances with notable entities like Anthropic, McKinsey, AWS, and the General Catalyst portfolioOur team is a dynamic collective of Applied AI Engineers, Embedded Product Managers, and Researchers driven by the mission to integrate advanced AI into the systems that shape our world.Percepta is a proud partner of General Catalyst.Role OverviewWe are on the lookout for an AI Infrastructure Engineer who will be responsible for the infrastructure, deployment, and operational reliability that underpin Percepta's AI systems, including the autonomous agents driving our innovations.Your role will involve enhancing existing systems: refining our Terraform configurations, fortifying deployment pipelines, and implementing more robust management of infrastructure across various regions and providers. You will also be tasked with constructing missing components and exploring uncharted territories, defining what Site Reliability Engineering (SRE) means in the context of autonomous decision-making systems.The infrastructure paradigms for future autonomous systems are yet to be established, and you will play a crucial role in shaping them.What Sets This Role ApartYou will be working with autonomous systems, where the infrastructure dynamics shift significantly when workloads have agency.Observability entails understanding the rationale behind an agent's decisions, not merely checking the health of a pod.There is a tangible gap between research and production in our environment. Our teams transition optimization algorithms and AI systems from research settings to production, and you will be integral to this process. While MLOps experience is not mandatory, you will be closer to this boundary than most infrastructure roles.Join a small team with significant ownership. You will make foundational decisions rather than inherit pre-existing ones.Your ResponsibilitiesDesign infrastructure patterns for multi-agent systems that are observable, controllable, and recoverable in innovative ways.

About UsAt Sapien, we are revolutionizing the way finance teams operate in the era of artificial intelligence. Our vision is to develop an autonomous CFO—a system that manages a company’s financial operations from start to finish. Our platform processes intricate financial data in real-time, enhancing decision-making speed, mitigating costly errors, and uncovering value. We have successfully identified multi-million-dollar discrepancies, safeguarded countless jobs, and significantly boosted our clients' financial performance.We collaborate with traditional sectors such as manufacturing, healthcare, restaurants, and large enterprises to thoroughly understand and automate their financial processes. Located near Madison Square Park in NYC, we are proud to be backed by General Catalyst, Neo, and top professionals from Google, OpenAI, Microsoft, Ramp, and Stripe, with over $9M in funding.Your RoleAs an Applied AI Engineer, you will develop the AI capabilities that drive Sapien's autonomous finance functions. This role involves designing innovative architectures for reasoning with complex financial datasets, creating verifiable and observable agent workflows, and building adaptive systems tailored to each client's operational nuances.This position blends research with product development, allowing you to work on state-of-the-art agent functionalities—from observability and library learning to semantic search and multi-modal parsing—delivering these solutions directly to our customers.Your ResponsibilitiesCraft and implement agent architectures that facilitate observability, human-in-the-loop verification, and accurate context management across complex financial workflows.Develop library learning systems that decrease LLM dependencies by identifying reusable patterns from customer interactions for planning, code generation, and data localization.Construct graph-based representations of companies and innovate efficient search methodologies utilizing embeddings, semantic clustering, and customized retrieval strategies.Create multi-modal parsers that integrate various financial data sources (Excel, ERPs, CRMs) into cohesive, queryable schemas for reasoning by agents.Design benchmarking and evaluation frameworks that measure Sapien's accuracy, reliability, and business impact across diverse customer workflows.What We SeekExceptional algorithmic thinking demonstrated through experience in ML research, competitive programming, mathematics, or the creation of innovative systems from the ground up.Proficiency in modern agent frameworks and tools.

About FLORAFLORA is at the forefront of innovation, crafting advanced creative tools for the modern creative class. Our intelligent canvas integrates top-tier AI models, empowering professionals across various creative sectors. With a dedicated team of around 20 and $52 million in funding from renowned investors such as Redpoint Ventures, Hanabi Capital, Menlo Ventures, Justin Kan, and Gabe Whaley (the founder of MSCHF), we proudly serve clients like Pentagram, Lionsgate, and Nike.We are seeking a talented Applied AI Engineer to join our pioneering team and develop the systems that drive FLORA's capabilities.In this foundational role, you'll collaborate closely with the founders to redefine how creatives engage with AI in an era of generative technology. This position requires a first-principles approach: you'll be tasked with designing, implementing, and scaling the core workflows that facilitate seamless orchestration of text, image, and video models on FLORA's limitless canvas.Key Responsibilities:As an Applied AI Engineer, you will architect and build the intelligence layer of FLORA, ensuring that multi-modal creative workflows are powerful, reliable, and user-friendly. You will tackle challenges at the crossroads of AI, orchestration, and interaction design, integrating text, image, and video models into intuitive workflows that creatives can trust and enjoy using.You will engage cross-functionally with product, infrastructure, and design teams to develop innovative features that empower creatives to bring their ideas to life while maintaining control over the process.

Vibecode creates AI-driven tools aimed at making advanced technology accessible for a broad audience. The team is dedicated to reaching and empowering the next 100 million people by building products that are both practical and user-friendly. Role overview The Applied AI Engineer will take on projects that blend cutting-edge research with hands-on engineering. This position centers on building systems that adapt and scale as user needs evolve, all from Vibecode's New York City office. What you will do Design and enhance dynamic memory systems that adapt as users interact with the platform Create and iterate on a custom agent that stays current with new technology trends Build and support bare metal infrastructure to ensure scalability, concurrency, and reliability Work with various AI models to optimize both costs and performance Assess large language model (LLM) performance on a range of tasks Location This position requires working onsite in New York City.