Engineer 6 Jobs

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. About The Role We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary: As a Manufacturing Equipment Engineer 2, you will provide technical leadership in sustaining smart manufacturing equipment within a high-volume consumables production environment. Your responsibilities include defining and executing preventive maintenance on optical, mechanical, electrical, and fluidics systems to enhance equipment uptime and reliability. You will also deliver training to Technicians and Engineer 1 team members to improve their understanding of job roles and expectations. Additionally, you will supervise and mentor these team members to ensure consistent performance and ongoing development. Position Responsibilities: Complete required training (e.g. cGMP, safety and work instructions, etc.) within a stipulated time frame Execute tasks strictly following cGMP, Quality, Safety and Work instruction requirements. Ensure employees follow safety, quality requirement, and all applicable company policies at all times. Ensure proper housekeeping and maintain cleanliness (6S) of the working area. Timely report/ escalate any concerns (work-related or personal

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Center Network Engineering (DNE) is a pod within the Physical Networking team and owns the design, deployment, and operation of Roblox's large-scale data center network. This includes server-layer connectivity, intra and inter-DC connectivity. The team is building High-Performance Networking (HPN) fabrics, deploying 400G/800G networking, and scaling GPU clusters to support AI training and inference. You will: Drive the design, deployment, and operations of Roblox's large-scale data center network, including the networking for GPU clusters that support training and inference workloads. Design, qualify, and validate new technologies and hardware for scalable solutions. Coordinate data center builds and projects with multiple teams, including weekly cross-team calls. Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early. Contribute to automation and telemetry that improve efficiency, reliability, and visibility. You have: 6+ years of expertise designing and deploying large-scale data center fabrics (CLOS). Experience with GPU clusters or AI/ML networking. Proficiency deploying and managin

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are seeking a Staff Engineer to lead the App Promotion engineering team. In this role, you will own the engineering roadmap to take Pinterest’s App Install Optimization product from beta to GA, hardening the current alpha/beta experience, closing critical measurement gaps, and ensuring readiness across Ads Manager, backend services, and mobile clients. You will lay the groundwork for future optimizations (App Event Optimization, tROAS, and retargeting) by partnering with Ads Quality, ML, and Measurement teams to build scalable models, robust experimentation, and trustworthy reporting. You will manage a team of 5–6 full stack and mobile engineers, foster an inclusive and high-performing team culture, and work closely with cross-functional leaders across Ads, Measurement, and Product to align on strategy, tradeoffs, and execution. What you’ll d

Build effective test automation that helps deliver reliable, high-quality technology through complex application modernization. The Role Capco is looking for a QA Automation Engineer with hands-on experience in SmartBear TestComplete and Playwright to support a major application modernization initiative. You’ll focus on building, maintaining and executing automated tests that help ensure applications continue to perform reliably as legacy technology, dependencies and supporting components are upgraded. Working across Java/Spring applications, Linux and Windows environments, you’ll combine practical automation expertise with established software quality assurance methodologies. This is an intermediate-level, hands-on QA role where you’ll work closely with developers and wider technology teams to identify issues early, strengthen automated test coverage and support the delivery of reliable software throughout the development lifecycle. What You’ll Do Build, maintain and execute automated tests using SmartBear TestComplete, ReadyAPI and Playwright across application modernization and testing activities. Create functional, integration and regression test automation to validate application behaviour, identify defects and maintain quality throughout technology upgrades. Test Java applications built with Spring and Spring Boot across Linux and Windows environments, using Linux shell scripting where required. Collaborate with developers and technology teams throughout the Agile lifecycle, contributing to quality from design and development through testing, deployment and production release. Investigate, document and track defects while maintaining test assets and supporting reliable releases using relevant test management, source-control and delivery tooling. What We’re Looking For 5–6 years of software quality assurance experience, including hands-on test automation experience using SmartBear TestComplete and related SmartBear tooling such as ReadyAPI. Profic

Overview: Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale — combining real-time voice, LLM-driven orchestration, and retrieval over large proprietary datasets. You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad ownership, close to product and leadership. This role is hybrid in our Toronto Office What You'll Do: Real-time conversational AI: voice- and chat-based agents with low-latency requirements, built on modern telephony and real-time media infrastructure. LLM orchestration: agentic systems that pursue goals over multi-turn conversations, with hard behavioral guarantees enforced in code — not just prompts. Multi-channel session management: stateful user interactions that move seamlessly across channels. Retrieval and grounding: connecting LLM systems to large internal knowledge assets, with structured data flowing back. Evaluation infrastructure: measuring conversational quality against human baselines and gating rollouts on metrics, not vibes. Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations, including latency-sensitive real-time workloads. Design and tune LLM pipelines: context engineering, structured outputs, model selection, cost/latency tradeoffs across vendors. Build the eval loop and treat quality as a number: define metrics, run experiments, gate releases on them. Integrate third-party AI and voice vendors behind clean abstractions so providers stay swappable. Partner with product and compliance stakeholders to encode domain rules into the system. Set engineering patterns for a growing team: code review, observability, incident habits. What You Have: 6+ years of software engineering, with 2+ years building LLM-powered products in production (not notebooks): orchestratio

ABOUT THE BRAND: Callaway Golf Company is a premium golf equipment, gear and apparel company with a portfolio of global brands, including Callaway Golf, Odyssey, TravisMathew, and OGIO. Through an unwavering commitment to innovation and premium craftsmanship, Callaway designs, manufactures, and sells high-performance golf clubs, golf balls, apparel, bags, and other accessories—setting the standard for performance in the game of golf. Our Mission: To create demonstrably superior and pleasingly different products powered by innovative technology and premium craftsmanship enabling golfers of all abilities to play their best and find more joy in the game. Our company is a blend of experience and diverse backgrounds, and together we look to leave the past behind while moving the game forward. For more information, please visit https://www.callawaygolf.com ROLES AND RESPONSIBILITIES The Identity & Access Management Engineer is accountable for the following responsibilities, operating security controls and IAM processes while supporting audits and remediation: Provide user account life cycle management, including creating, provisioning, securing, and inactivation of access. Participate in projects and production support operations focused on implementing Identity and Access Management (IAM) integrations and Roles Based Access Control (RBAC) strategies and integrations. Manage daily operational activities for Active Directory (AD), Okta and Azure ( Entra ) For systems and software applications in scope for IAM Team, reconcile discrepancies between access rights assigned and access rights required for users to perform job duties. <

At Lyft, our purpose is to serve and connect. Lyft’s Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable services. As a Senior Software Engineer on the Foundational Infrastructure & Networking team , you will own the core routing, service mesh, and control planes that power hundreds of microservices processing millions of rides daily. This is an IC role with massive engineering leverage: your technical architecture, systems design, and performance optimizations will directly amplify the velocity of every software engineer across Lyft while ensuring platform resiliency at scale. Responsibilities Architect & Scale Core Networking: Design, build, and optimize our service mesh, ingress/egress infrastructure, and edge routing capabilities using Envoy Proxy and custom control planes on AWS. Optimize High-Throughput Control Planes: Enhance load-balancing algorithms, service discovery, and dynamic scaling mechanisms across high-concurrency data and control planes running on Kubernetes. Drive Systems Reliability & Observability: Operationalize deep telemetry, metrics, and distributed tracing across our networking stack to drastically reduce mean-time-to-detect (MTTD) and resolution (MTTR). Hands-on Production Debugging: Lead complex technical investigations into cross-stack incidents spanning kernel parameters, cloud VPC network layers, DNS, and distributed microservice protocols. Technical Leadership & Mentorship: Elevate engineering rigor through RFC reviews, technical vision, incident response post-mortems, and mentoring engineers across the broader Infrastructure org. Experience 6+ Years of Production Systems Experience: Proven track record building and operating massive-scale cloud infrastructure and networking platforms. Expertise in Cloud Networking & Protocols: Deep understanding of Linux networking, TCP/IP, DNS, gRPC, HTTP/2, load balancing, and AWS networking a

The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts Build mission-critical solutions that customers depend on daily Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Who You Are: You have 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You are proficient in Go You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational q

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . Experience Level: 6–10 Years Domain: Product Security / AppSec / DevSecOps / AI Security / AI-First SDLC Role Summary We are looking for a hands-on Senior Staff Product Security Engineer to join and lead initiatives across our product security landscape. In this role, you will redefine modern Product Security by architecting an AI-first SDLC seamlessly integrating traditional AppSec with advanced AI security practices, automating shift-left pipelines, conducting rigorous threat models for core services and complex AI architectures, and leveraging cutting-edge AI tools to accelerate vulnerability remediation. You will partner directly with engineering leadership, Information Security, GRC, BuildOps, and DevOps teams to secure our SaaS products and safely enable cutting-edge agentic features. Role & Responsibilities AI-First SDLC & Shift-Left Automation: Architect and embed AI-driven security controls (SAST, DAST, SCA, Container, Secrets Detection) directly into CI/CD build pipelines and developer workflows, establishing an intelligent, highly automated AI-first SDLC. Operational & Strategic AI Security: Lev

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are looking for a founding Staff Engineer to lead the technical architecture of our next-generation Spatial Platform. For the past decade, floor plans have been static images; we are rebuilding that foundation from the ground up as a high-performance, interactive, and collaborative 3D engine. This is a greenfield role for a builder who wants to own a core pillar of Verkada’s infrastructure before we hit the public markets. You won't just build features—you will architect a platform that supports 8+ product lines, solving the "hard math" of geospatial projections and the "hard graphics" of rendering thousands of interactive assets at a buttery-smooth 60 FPS. What You'll Do Build the Rendering Platform: Design a high-performance rendering architecture that supports both an interactive viewer for high-density geospatial visualizatio

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. About The Role (Onsite in Boston) We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging. What You Will Do Develop new user-facing features using React & Typescript B

Staff Software Engineer - Agent Quality P-1567 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems. As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production. The impact you will have Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams. Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development. Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform. Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform. What we look for 6+ years industry experience building software systems Strong Python programming skills, with experience building produ

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6&#43; years, or BS (or equivalent experience) with 8&#43; years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity We are looking for a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms. You will work with experienced hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle. The role combines subsystem engineering, hands-on laboratory work, test automation, data analysis, troubleshooting, and clear technical documentation. Start: September, 2027 Location: Austin, Texas, USA What You Will Do Contribute to the design, integration, and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Take ownership of defined engineering tasks from requirements and test planning through execution, analysis, and technical review. Develop system-level validation plans, procedures, scripts, and tools that improve test coverage, repeatability, data collection, and analysis. Evaluate platform performance, power, signal behavior, reliability, and interoperability using laboratory measurements and system data. Investigate emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and assess their use in advanced computing systems. Support platform power, cooling, and energy-efficiency investigations, including liquid-cooling systems for high-performance processor