Software Engineer - AI Platform

About Us:At LangChain, we are dedicated to making intelligent agents a part of everyday life. Our goal is to provide the essential tools for agent engineering, empowering developers to transition from prototypes to production-ready AI agents that can be relied upon by teams. Originating from highly adopted open-source tools, we have evolved to create a comprehensive platform for building, evaluating, deploying, and managing agents at scale.Today, our suite of tools, including LangChain, LangGraph, LangSmith, and Agent Builder, is utilized by teams developing real AI products across both startups and established enterprises. Millions of developers count on LangChain to fuel AI initiatives at organizations like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised in Series B funding from top-tier investors such as IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are poised for continued product development and rapid growth. Every team member plays a crucial role in shaping our technology and collaborative culture at LangChain.About the Role:We are seeking an Engineering Manager to spearhead the development of LangSmith, our advanced observability and evaluation platform for LLM applications. You will set the technical vision, cultivate and mentor a high-caliber engineering team, and collaborate with product and design teams to deliver features that enable developers to create and deploy reliable AI systems with confidence.Your Responsibilities:Build, mentor, and expand a high-performing engineering team, promoting collaboration, ownership, and accountability.Enhance LangChain’s engineering culture through guidance, high-quality coding practices, and technical excellence.Define long-term technical strategy and ensure the scalability and reliability of the LangSmith AI Observability Platform.Collaborate with product and design teams to outline project scope, sequence, and success metrics for significant initiatives.Maintain a high standard for technical performance while ensuring the team operates with urgency and focus.Lead by example, writing clean, maintainable, and thoroughly tested code in languages such as Go, Python, and Typescript.Engage directly with customers to understand their needs and translate those into actionable product enhancements.

Join a Revolutionary CompanyAt Palantir, we are at the forefront of software innovation, crafting the world's most advanced solutions for data-driven insights and operational efficiency. Our platforms empower partners to make impactful decisions—whether that's developing life-saving medications, predicting supply chain challenges, or reuniting families.About the PositionAs a Senior Software Engineer focusing on Observability, you will play a critical role in enhancing Palantir’s observability infrastructure. Your responsibilities will encompass the ingestion and processing of logs, metrics, and traces, alongside the development of robust monitoring and alerting mechanisms. Your contributions will significantly influence Palantir’s scalability and engineering efficiency. With your extensive systems knowledge and commitment to technical excellence, you will elevate your team's performance, balancing user value with the creation of resilient, maintainable systems.

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.

Join Our Dynamic Security TeamAt OpenAI, we are on a mission to ensure that artificial general intelligence serves the betterment of humanity, with security at the heart of our vision. Our dedicated Security team is integral to safeguarding OpenAI's technologies, personnel, and products. We blend technical expertise with operational excellence, striving to empower all research and product initiatives at OpenAI. Our team values include impactful prioritization, enabling innovation, forward-thinking preparation for transformative technologies, and fostering a proactive security culture.Your Role as a Software Engineer, Security ObservabilityWe are looking for a Software Engineer specializing in Security Observability to enhance our Security team. In this pivotal role, you will design and implement secure, scalable systems that elevate our security observability framework. Utilizing your engineering prowess, you will partner with diverse teams to develop, deploy, and maintain resilient software solutions that bolster our security and detection capabilities. This position is available for remote work, or you may choose to relocate to one of our OpenAI offices situated in San Francisco, Seattle, or New York City.Your Responsibilities:Create and implement scalable software systems that enhance security observability across our infrastructure.Develop and sustain data pipelines that centralize and securely store security-related data from various sources.Continuously enhance the resilience and reliability of data systems to guarantee high platform availability.Collaborate closely with Detection & Response (D&R) and other security teams to mitigate security risks.Support data engineering for forensic investigations and compliance initiatives.You May Be a Great Fit If You Have:Extensive software engineering experience, proficient in programming languages such as Python, Go, or similar.Experience with infrastructure as code, utilizing tools like Terraform and working with cloud platforms such as Azure.Track record of building and maintaining data pipelines, especially for security-centric applications.A versatile engineering mindset, able to navigate various technical challenges seamlessly.

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.

Role Overview Sigma Computing is growing its engineering team in New York City. The Senior Software Engineer - Observability and Reliability will help build technology that makes data accessible for all. This role focuses on improving how systems are monitored, measured, and maintained for reliability. What You Will Do Design and build observability tools and platforms, including metrics collection, logging, distributed tracing, dashboarding, alerting, and application performance management. Work with technologies such as Go, Open Telemetry, and Kubernetes. Take part in on-call rotations to help maintain high service uptime. Develop runtime tools and processes that support cloud triaging and help minimize downtime. Define and promote best practices for monitoring and measuring systems and services. Collaborate with engineers and stakeholders through design and code reviews, with a strong emphasis on hands-on coding.

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.

As the Director of Product Management for AI Observability at Datadog, you will lead our efforts in shaping innovative solutions that enhance observability in AI systems. Your expertise will drive product vision, strategy, and execution while collaborating with cross-functional teams to deliver impactful products that meet the needs of our clients.

Join Datadog as a Senior Staff Software Engineer where you'll play a pivotal role in enhancing our Bring Your Own Cloud (BYOC) Logs initiative. Your mission will be to integrate observability pipelines and on-prem log management, creating a seamless experience for our customers. This position emphasizes the design and scaling of systems that handle, route, and store high volumes of observability data within client-managed infrastructures. As a hands-on technical leader, you'll guide architecture decisions, oversee cross-team project deliveries, and steer product direction in a dynamic environment. This is a unique opportunity to impact product strategy, mentor fellow engineers, and tackle complex technical challenges at scale.At Datadog, we cherish our office culture, fostering collaboration and creativity, and we've embraced a hybrid work model to support our Datadogs in achieving a harmonious work-life balance.

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.

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

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.