Software Engineer - AI Platform

Databricks builds the data and AI infrastructure that helps organizations solve complex problems, from modernizing transportation to accelerating medical research. The platform supports teams in uncovering insights and improving operations through advanced data and AI tools. Role Overview This Senior Software Engineer position sits within the New York City Engineering office. The team focuses on creating new products from the ground up, using Databricks’ strengths in data and AI to build specialized AI applications for both technical and business audiences. The environment combines the energy of a startup with the backing of Databricks’ established resources. What You Will Do Design and build advanced interfaces for Generative AI agents that handle complex workflows, ensuring transparency and human oversight. Work closely with product managers, designers, and engineers to deliver intuitive, scalable solutions that drive user and business growth. Contribute hands-on as a full-stack developer, delivering user-centered experiences. Develop features that support product-led growth, including seamless onboarding and sharing tools. Help define the direction of agent-based applications at Databricks, collaborating with cross-functional teams. Lead the design, development, and maintenance of end-to-end AI systems that are reliable, scalable, and efficient.

Role overview Harvey seeks a Staff Software Engineer to take a lead role in shaping its AI Platform. Based in New York, this position focuses on designing, developing, and launching software solutions that use artificial intelligence technologies. What you will do Lead the architecture and implementation of projects that rely on AI technologies Collaborate with engineering, product, and other teams to enhance and grow the platform Maintain high software quality and ensure solutions align with user needs throughout development Location This role is located in New York.

Who We AreAddepar is a leading global data and AI platform that empowers investment professionals to transform complex financial data into actionable insights. By unifying portfolio, market, and client data, Addepar delivers AI-driven insights seamlessly integrated within investment and client workflows. Serving over 1,400 firms across nearly 60 countries, we manage and advise on assets totaling almost $9 trillion. Our open platform collaborates with approximately 650 software, data, and consulting partners to enhance investment operations for organizations of all sizes and complexities. With a presence in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo, Addepar is committed to supporting clients worldwide.The RoleWe are on the lookout for a Senior AI Engineer to become a pivotal member of our rapidly expanding AI Platform team. This team is dedicated to creating innovative and transformative solutions leveraging AI technology across our product suite.In this high-impact role, you will architect, lead, and execute the core AI capabilities that power our platform. Ideal candidates will thrive at the cutting edge of applied AI, showcasing a constant drive for delivering results. You will manage the complete lifecycle of AI-native products, ensuring the integration of advanced AI systems into robust, scalable, and high-performing production environments.

About DaydreamDaydream is an innovative chat-based shopping assistant exclusively tailored for fashion. Our aim is to revolutionize the way individuals discover and explore fashion by delivering a personalized, conversational experience powered by cutting-edge AI and natural language understanding.Supported by leading investors such as Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our dedicated team is passionate about redefining the future of shopping.About the RoleAs the Engineering Lead for Platform & AI, you will take ownership of several backend systems at Daydream. This includes managing the catalog data pipeline that drives our product index, overseeing the AI content pipeline that generates landing pages for ad campaigns, and developing the B2B integration layer that allows our search functionality on partner retail websites. Your work will primarily involve Python and Go, focusing heavily on LLM integration, with your contributions directly impacting our product.Key Responsibilities:Catalog Pipeline:Oversee the augmentation pipeline—a multi-step Polars system that executes ML models (image analysis, hero selection, swatches via Vertex AI), standardizes sizes, appends affiliate links, and writes to Delta Lake / GCS.Enhance catalog quality through OOS accuracy, hero image selection, and sizing coverage.Develop and maintain scrapers and mappers for over 100 fashion merchants across various platforms including Shopify and custom sites.Eventually, take charge of the enrichment layer, focusing on attribute extraction, taxonomy, and Elasticsearch indexing.Content Generation Pipeline:Lead the AI content pipeline—a multi-step system utilizing LLM for topic generation, product matching, quality scoring, and landing page assembly.Enhance prompt quality and evaluate LLM output.Advance towards personalized content for logged-in users, email content, and broadened ad formats.B2B Merchant Integration:Create and manage services that expose core Daydream capabilities to merchant partners.Deploy on Kubernetes utilizing Helm and ArgoCD.In All Areas:Collaborate across teams to ensure seamless integration and functionality of systems.

Join The New York Times Company as a Senior Software Engineer specializing in AI platforms and products. In this role, you will be at the forefront of developing innovative AI solutions that enhance our digital offerings and engage millions of readers. Collaborate with cross-functional teams to design, implement, and maintain high-performance AI systems that drive our content and product strategy.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the core of our operations, driving us to report from nearly 160 countries and deliver journalism that is engaging and worth paying for.About the RoleThe New York Times is looking for a talented Software Engineer to join our New AI Products & Platforms team. This innovative group is dedicated to creating cutting-edge AI experiences for our readers.We are in search of a rapid prototyper who is passionate about building real products that provide exceptional user experiences. You will operate at the crossroads of applied AI and consumer products, transforming emerging technologies—such as language models, content embeddings, and semantic search—into features that enable Times readers to discover, understand, and engage with our content more deeply. You'll be part of a team that values strong editorial judgment and independence.To succeed in this role, you should have a proven history of delivering software solutions, a strong grasp of the modern web stack, and hands-on experience with large language models (LLMs) in production.This is a hybrid position based at our headquarters in New York City, reporting directly to the VP of Engineering for New AI Products and Platforms. You can expect to be in the office at least 2 days a week.Responsibilities:Prototype, iterate, and launch LLM- and embedding-powered reader experiences from initial concepts to production alongside other engineers and cross-functional teams.Develop across the full stack: from Node.js/TypeScript backends to React frontends, integrating AI capabilities seamlessly.

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

Databricks builds data and AI infrastructure that helps organizations solve real-world problems, from improving transportation to driving medical breakthroughs. The company was founded by engineers who care deeply about customers and technical challenges. Teams work on everything from advanced UI/UX for data tools to scaling services across millions of virtual machines. This Senior Staff Software Engineer role is based in New York City. As one of the first engineers in the NYC office, you will join a small, agile group focused on launching new products from scratch. The team’s mission: use Databricks’ strengths in data and AI to create vertical AI applications for both technical and business users. The environment combines the energy of a startup with the backing of a major technology company. Your Impact Design advanced interfaces for GenAI agents that support complex workflows, with a focus on transparency and human oversight. Work closely with product management, design, and other engineering teams to build scalable, intuitive, and extensible solutions that support user and business growth. Lead by example through hands-on, full-stack software development to deliver dynamic, user-centered experiences. Create mechanisms that drive product-led growth, including improved onboarding and sharing features. Help shape the future of agentic applications at Databricks by collaborating with a diverse team of engineers, product managers, and designers. Define and execute strategy for broad AI feature development by designing, building, and maintaining systems that are scalable, reliable, and high-performing.

Dagster Labs develops tools that enable organizations to build scalable and efficient data platforms. The company’s core offerings include Dagster, an open-source project popular among developers, and Dagster+, a managed cloud solution. These products support thousands of teams, ranging from early-stage startups to established enterprises, in their analytics, machine learning, and AI initiatives. With the rapid growth of AI, the need for reliable, high-quality data has never been greater. Dagster Labs is dedicated to simplifying the testing, comprehension, and usability of data platforms. Many top AI companies have adopted Dagster as a foundational part of their technology stack. Team culture The team operates with strong funding and a collaborative spirit. High standards, open communication, and a focus on trust and curiosity shape the work environment. The company values a workplace free from egos and unnecessary drama. Locations This is a remote-first company with offices in San Francisco, New York, and Minneapolis.

Join Fluidstack: Pioneering the Future of IntelligenceAt Fluidstack, we're transforming the landscape of artificial intelligence infrastructure. Collaborating with leading AI research labs, government entities, and major corporations—including Mistral, Poolside, Black Forest Labs, and Meta—we are dedicated to delivering computing solutions at unprecedented speeds. Our mission is to expedite the realization of Artificial General Intelligence (AGI), and we are seeking passionate individuals who thrive on purpose and excellence.We take immense pride in the systems we develop and the trust we build with our clients. If you are ready to roll up your sleeves and contribute to shaping the future of intelligence, we invite you to join our innovative team.Position OverviewFluidstack, a prominent player in the cloud services arena, is on the lookout for a Software Engineer specializing in Infrastructure Platform Development. In this role, you will be instrumental in constructing the foundational platforms that support our global infrastructure and data center operations. Your focus will be on developing robust internal tools across various domains, including Configuration Management Database (CMDB), asset management, Data Center Infrastructure Management (DCIM), monitoring, observability, security, and operational automation. Collaborating with cross-functional teams, you will craft scalable and user-friendly solutions that enhance our ability to provide top-tier infrastructure services.Key ResponsibilitiesInfrastructure Platform DevelopmentDesign and implement a next-generation CMDB system to serve as the definitive source of truth for infrastructure assets, network architecture, and configuration data.Develop DCIM platforms for managing rack operations, server/GPU deployments, operating system installations, quality assurance, and white-screen activities.Create comprehensive asset lifecycle management systems encompassing receiving, racking, inventory, break-fix, and decommissioning workflows.Build monitoring and observability platforms that integrate telemetry from Building Management Systems (BMS), Environmental Power Monitoring Systems (EPMS), and IT devices, featuring intelligent alerting and incident management capabilities.Develop self-service portals and automation tools for new region initialization, post-deployment operations, and fleet-scale management.Operational Excellence & AutomationMinimize manual tasks through workflow automation and self-service tools that empower our operations and engineering teams.Create workflow orchestration systems to streamline complex multi-step processes that encompass incident, problem, and change management.

At The New York Times, our mission is to seek the truth and help people understand the world. Independent journalism is the core of our company. With a world-renowned newsroom, we report from nearly 160 countries, focusing on enriching the reader's experience across various platforms, including print, audio, and our top-tier digital and app offerings. Our business strategy is centered on delivering journalism of such high quality that it is worth paying for.About the Role:We are looking for a Senior Software Engineer with a strong background in agentic AI development to join our Messaging Platforms group. This is an exciting opportunity to play a pivotal role in enhancing how we deliver breaking news and engage millions of readers globally. You'll work alongside a collaborative team of engineers, designers, and product managers who value empathy, innovation, and shared accountability for our success.Our front-end development utilizes React, while our backend is primarily built with Go. We deploy our services using CI/CD tools like GitHub Actions, and our infrastructure is hosted on Google Cloud Platform (GCP) and Amazon Web Services (AWS), with provisioning managed through Terraform.Responsibilities:Lead the modernization of front-end tools, implementing agentic workflows to enhance development cycles while adhering to high architectural standards.Provide expertise and mentorship in AI-assisted development for the front-end team, enabling them to focus on system design rather than routine implementations.Engage in the entire development lifecycle of our products, including design, development, testing, deployment, and monitoring, within a collaborative and distributed team.

DiligenceSquared is in search of a pioneering Backend Engineer to join our team as we revolutionize the landscape of market due diligence through cutting-edge AI technology. In this foundational role, you will be instrumental in designing the architecture for our AI-driven engine, which coordinates autonomous research agents and voice AI systems to produce innovative market reports tailored for investment professionals, including those in Private Equity, Hedge Funds, Private Credit, and Corporate M&A.About DiligenceSquaredAt DiligenceSquared, we are transforming commercial due diligence for Private Equity funds. Backed by Y Combinator and having successfully raised a substantial Seed round, we are proud to serve some of the globe's largest PE funds. The market opportunity exceeds $10 billion annually, with PE firms spending up to $1 million per report from consulting giants such as McKinsey, BCG, and Bain. Our AI agents streamline this process, delivering faster, cost-effective, and fully auditable results, linking every claim to its source.Our founding team comprises seasoned professionals from Blackstone and BCG, bringing invaluable insights into the market's needs, which we are now automating.Your Responsibilities:Develop comprehensive product features and experiences from start to finish, including database models, API endpoints, and their integration with UI components for our web and AI Voice Agent application.Design and implement new AI-driven modules from the ground up (e.g., market sizing, competitive analysis) that will become core functionalities of our research platform.Build and maintain product foundations that include AI agent orchestration, voice AI pipelines, application and API performance, and intelligent automations.Architect scalable backend services featuring complex asynchronous processing and background task orchestration.Continuously improve the product by applying insights gained from each project, ensuring we progress by 1% every day (the Law of Compounding is real, especially for a team founded by investment professionals).Qualifications:Minimum of 3 years of professional experience in Python backend development.Proven expertise in building production-ready APIs using frameworks like FastAPI, Django, or equivalent.Experience in developing agentic systems leveraging large language model platforms (e.g., Anthropic, OpenAI).Hands-on experience with LLMs in a production environment, focusing on building reliable agentic systems rather than just API calls.Knowledge of PostgreSQL and SQL database design.Strong problem-solving and analytical skills with a passion for innovative technology.

At Authentic Insurance, we empower insurance brokers to develop superior insurance products tailored for their clients. Our innovative technology platform and robust support system enable brokers to create customized insurance solutions that cater to specific industries or customer segments. We act as the foundational operating system that drives these specialized insurance offerings. This allows brokers to provide unique products that set them apart from competitors, increase their earnings, and reduce the time spent on paperwork and administrative tasks. We manage the intricate aspects of technology, compliance, and partnerships with top-rated insurance carriers, allowing brokers to concentrate on delivering exceptional service and expanding their business.ResponsibilitiesDesign and implement the platform infrastructure to support cutting-edge insurance systems, taking ownership from problem definition to delivery.Identify bottlenecks and engineer solutions to enhance team efficiency, applying first-principles thinking alongside practical judgment to prioritize effectively.Take ownership of challenges from beginning to end, considering scalability, operability, and ongoing metrics—delving into root causes to optimize for real-world results.Enhance reliability and performance across the technology stack (infrastructure, deployment, observability).Iterate on existing platform tools and services in response to feedback from engineering teams.Collaborate with senior engineers on critical architectural decisions and technical direction.

Ramp builds intelligent infrastructure for finance teams, helping companies manage over $100 billion in annual spending. The platform automates payment authorization, risk reduction, spend categorization, and bookkeeping for more than 50,000 organizations. Ramp’s approach centers on solving complex, data-driven challenges with a focus on ownership, urgency, and measurable impact. Customers typically see a 5% reduction in costs and a 16% increase in revenue within their first year on Ramp. Every team member is empowered to make decisions that shape the company’s outcomes, with an emphasis on action over credentials. Role overview This Software Engineer position sits on the Engineering Platform team in New York, NY (HQ). Rather than building customer-facing features, this team creates and maintains the core infrastructure that supports over 300 engineers at Ramp. Work includes developing and refining CI/CD pipelines, merge queues, deployment systems, service templates, and on-call tools, as well as the AI-driven layer that connects these systems. When internal engineering processes slow down or fail, the effects are felt company-wide. This role carries responsibility for the entire incident lifecycle, from diagnosis and remediation to postmortem analysis and prevention. The work is foundational and high-impact, supporting a fast-moving engineering organization. What you will do Design and enhance systems that increase engineering productivity, such as merge queues, deployment strategies, CI/CD frameworks, Smart Reviewer, and stack tools. Respond rapidly to slowdowns or issues. Lead incident response from start to finish: identify root causes (for example, database serialization failures or Redis latency spikes), implement solutions, document postmortems, and develop strategies to prevent future incidents. Establish standardized service pathways, including API design, database migrations, Kafka, Temporal, and secret management, to help teams build infrastructure efficiently and avoid redundant work. Oversee the full suite of developer tools (including Devportal, Graphite, Buildkite, Inspect, deployment processes, LaunchDarkly, and Datadog), with a strong understanding of their interactions, especially under pressure. Treat the Software Development Life Cycle (SDLC) as an operational system: monitor metrics like pull request throughput, CI/CD cycle times, and defect rates, and proactively address bottlenecks.

Role Overview Ridgeline is looking for a Senior Staff AI Research Engineer to join the AI Platform team in New York, NY. This group focuses on advancing AI research and building practical solutions for complex, real-world problems. The position centers on evaluating machine learning models and large language models (LLMs) to improve their performance and impact. What You Will Do Design and build frameworks, tools, and systems that use advanced AI technologies. Architect and implement end-to-end AI systems that address challenging business needs. Prototype multi-stage processing structures as part of the research-to-production workflow. Develop evaluation frameworks and benchmarks for model accuracy, consistency, and cost-effectiveness. Work closely with business teams to validate and refine AI-powered tools. Create reusable AI capabilities that can be applied across different business areas, with a focus on investment management operations. About the Team The AI Platform team at Ridgeline drives the adoption of state-of-the-art AI across the company. The group values innovative thinking and practical application, aiming to deliver solutions that shape the future of investment management.

Join the Foundational Team at RillaRilla is revolutionizing the way we index the offline world. We have developed the premier sales coaching software tailored for organizations that conduct sales in-person. With over 1000 clients, including industry giants such as The Home Depot, KKR, Neighborly, and PulteGroup, our platform empowers AI-driven sales coaching across their operations.Supported by leading investors including Google Ventures, Bessemer Ventures, Crew Capital, and Broom Ventures, Rilla is an in-office team based in New York City. Our dynamic team operates with the speed and adaptability of high-performance learners, driven by a deep commitment to our customers and a passion for maximizing our real-world impact.If you're eager to develop products and systems that capture and index billions of real-world conversations, Rilla is the perfect place for you.Your RoleWe are establishing a new Platform team, and we are looking for one of the inaugural hires. You will collaborate closely with the platform team lead to shape how Rilla constructs, deploys, monitors, and scales its infrastructure.Your responsibilities will span the entire platform architecture: CI/CD pipelines, Terraform modules, monitoring stacks, SSO integrations, and the API infrastructure crucial for our client operations. If it ensures our product’s functionality and allows engineers to deploy seamlessly, it falls under your purview.You will engage in coding, system design, and architectural decision-making, effectively constructing the platform relied upon by our expanding engineering team of over 25 members. You will take ownership from initial concept to delivering production systems that serve thousands of customers.We welcome engineers of all experience levels; what counts is your relentless resourcefulness, strong technical skills, and enthusiasm for building from the ground up.Do you consider yourself 'obsessive' in your craft? Do you want to define the infrastructure for one of the fastest-growing startups in history? Then Rilla is the ideal environment for you to thrive.

About AlphaSense: AlphaSense is the go-to platform for the world's leading companies, enabling them to eliminate uncertainty in their decision-making processes. With a robust AI-driven market intelligence and search system, AlphaSense provides invaluable insights from trustworthy content. Our extensive repository includes equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary client research.With the acquisition of Tegus in 2024, we are furthering our mission to empower professionals to make informed decisions through AI-enhanced market intelligence. This collaboration will drive growth, foster innovation, and expand our content offerings, combining our respective strengths to deliver even deeper insights from a vast array of content collections. Trusted by over 6,000 enterprise clients, including many Fortune 500 companies, AlphaSense was founded in 2011 and is headquartered in New York City, boasting over 2,000 global employees across numerous locations including the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. We invite you to join our team!About the Team:Our diverse Product & Engineering team thrives on innovation, collaboration, and continuous enhancement of our platform. We provide a vibrant work environment where team members can develop their skills and contribute to pioneering technology that is shaping the future of AI and information retrieval.At AlphaSense, we recognize that diverse experiences and perspectives are vital to our success. We are dedicated to fostering an inclusive workplace where all employees feel appreciated and empowered to express their true selves.About the RoleWe are on the lookout for an experienced engineering leader to revolutionize the construction and operation of our AI-powered systems at scale. You will join a talented group of engineers who have developed advanced AI applications, and your goal will be to implement world-class engineering practices that ensure these innovations operate reliably for our enterprise clientele.This is a distinct opportunity for a skilled engineer who excels at building resilient platforms, mentoring high-performing teams, and establishing engineering excellence. You will have considerable autonomy to influence our technical architecture while collaborating with cutting-edge AI models and systems that drive market intelligence for some of the world's foremost companies.

Role overview Speechify is hiring a Software Engineer, Platform, based in Buffalo, NY. This position focuses on developing and maintaining the software systems that form the backbone of Speechify’s text-to-speech platform. What you will do Collaborate with team members to enhance and extend platform capabilities Design, build, and maintain essential software modules Contribute to delivering a reliable and effective user experience across Speechify’s products Support ongoing improvements in text-to-speech technology Impact Work in this role will shape the future of Speechify’s platform and influence how users engage with its technology.

At Outtake, we are on a mission to empower trust in a digital-first world. With the rapid spread of impersonation, fraud, AI-driven scams, and identity abuse, we have developed a pioneering AI platform that proactively identifies, monitors, and dismantles impersonators, automating protection in mere hours rather than weeks.Our team, composed of former engineers from Palantir, Notion, and more, is committed to clarity, autonomy, and speed. Our ambitious goal is to establish ourselves as the trust layer of the modern internet, and we are building a lean, exceptionally talented team to achieve this.Your RoleIn this platform engineering position, you will:Shape Engineering Practices: Own the foundational systems that product engineers depend upon, designing and maintaining tools that enhance developer workflows and engineering velocity.Optimize for Influence: Focus on initiatives that amplify impact across the engineering organization, transforming repetitive solutions into robust platforms that enable swift, effective engineering practices.Build Resilient Foundations: Develop a strategic vision for engineering operations and translate that vision into practical code and systems while navigating dynamic environments.The TeamOur team embodies the belief that "The team you build is the company you build." — Vinod Khosla. Outtake’s team includes talented individuals from Palantir, Notion, Meta, Slack, and Datadog, all of whom have successfully shipped significant systems and learned from their experiences.We prioritize craftsmanship, collaboration, and accountability. Our work culture is demanding yet supportive, where team members pair on complex challenges, provide constructive feedback, and take ownership of projects from inception to outcome. Mentorship is intentional, fostering growth and development within the team. Driven individuals thrive here, not because they must, but because they are passionate about their work.