Java Jobs

Glean is seeking product engineers to contribute to the development of AI Agents for the workplace. This role involves collaborating across product, AI, and platform teams to enable users in building, evaluating, self-improving, deploying, and operating sophisticated agents within the Glean platform. It's a cross-functional position for engineers who enjoy owning user-facing product experiences from conception to completion, while also engaging with the underlying systems. You will influence how users create agents, how these agents function in auto-mode or independently, how they are assessed and enhanced over time, and how to ensure their reliability, safety, and scalability.

Crusoe is seeking a Senior Software Engineer to build and own customer-facing observability products within Crusoe Cloud's Cloud Monitoring Service. This team delivers managed logs and self-service observability capabilities, enabling customers to collect, search, and act on their telemetry efficiently. You will be responsible for end-to-end ownership of product surfaces, including APIs, backend services, and the user onboarding and configuration experience, with a strong emphasis on reliability and ease of use.

$175k - $210k

Glean is building the horizontal AI platform that powers how employees use AI at work, extending beyond Glean to tools like Copilot, Gemini, and ChatGPT. This role focuses on building the context platform and delivering rich, trustworthy experiences across various applications. The team is responsible for the end-to-end platform experience, including standards and tooling for REST APIs, SDKs, client libraries, agent SDKs and integrations, MCP servers, custom context (code, memory), and the supporting infrastructure and documentation. In a fast-paced startup environment, this involves working across multiple layers of the stack, from backend services to developer tools and documentation.

$210k - $300k

Glean is building a modern knowledge assistant personalized to every employee in your organization, making all information within your company accessible, contextual, and fresh. We are looking for a Quality Assurance Engineer to assess the quality of our web application through Manual & Automation testing. You will be responsible for finding and reporting bugs and glitches with the initial level of RCA. You should have a keen eye for detail and excellent communication skills.

Cognition is seeking an AI Support Engineer to resolve complex technical issues for customers using their AI software engineer products, Devin and Windsurf. This role involves investigating ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will be responsible for reproducing bugs, analyzing logs, tracing failures, forming root-cause hypotheses, and driving issues to resolution. The ideal candidate has strong debugging instincts, broad systems knowledge, and the ability to operate with urgency in a high-volume environment, comfortable context-switching and communicating clearly with customers and engineering teams.

Cognition is seeking an AI Support Engineer to resolve complex technical issues for customers using their AI software engineer products, Devin and Windsurf. This role involves investigating ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will be responsible for reproducing bugs, analyzing logs, tracing failures, forming root-cause hypotheses, and driving issues to resolution. The ideal candidate has strong debugging instincts, broad systems knowledge, and the ability to operate with urgency in a high-volume environment, comfortable context-switching and communicating clearly with customers and engineering teams.

Scale AI

Scale AI is seeking a highly skilled and motivated Software Engineer to join our dynamic Public Sector Engineering team. You will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. We are looking for an exceptional Senior Software Engineer to architect and build the foundational data infrastructure that will serve as the brain of a project ecosystem. You will be responsible for designing highly novel data models and processing pipelines capable of handling massive quantities of output data from complex simulations. At the core of this role is the challenge of building a foundational data ensemble—a unified architecture that seamlessly aggregates, structures, and stages diverse sources of simulation outputs and user inputs. Your systems will manage enormous batch throughput jobs with strict, minimal latency requirements, ensuring that downstream AI systems and language models have the exact context they need to actionably reason over complex, multi-dimensional scenarios.

$216k - $300k

Scale AI

Scale is seeking a Software Engineer, Identity to join our Platform Engineering team. In this role, you will be instrumental in designing and developing core platforms and software systems, with a specific focus on identity, access management, authorization, and authentication. You will gain broad exposure to the cutting edge of the AI industry as Scale supports enterprises, startups, and governments. This position offers the opportunity to contribute to the foundational elements of products that power advanced LLMs and generative models, playing a crucial role in how humanity interacts with AI.

$216k - $270k

Together AI

You will join the Data Platform team, responsible for building the backend services and data products that power how data moves through the company. This involves creating core platform primitives like high-quality event streams, reliable access layers, and developer-friendly APIs and tools. The goal is to enable teams across the organization to self-serve their data needs and ship faster. You will contribute to backend services that derive value from company data and enhance the self-serve capabilities of the data platform, allowing product and engineering teams to easily create and operate event-driven architectures, publish/consume streams, define access models, and manage data products end-to-end. Additionally, you will work on LLM-adjacent services, including prompt categorization, enrichment, and metadata systems, transforming raw telemetry into trusted, usable products with guidance from experienced engineers.

$120k - $170k

Perplexity is seeking a growth engineer to join their team and own product loops that drive user discovery, adoption, and habit formation around their AI experiences. This role involves working across the entire user funnel, from activation and onboarding to retention and paid upgrades, while also developing applied AI systems to enhance these experiences. Engineers will manage end-to-end projects, including training and deploying classifiers to identify high-intent users, personalizing value discovery, and integrating new AI capabilities to achieve measurable adoption and revenue outcomes. The growth team collaborates closely with product, design, data science, and applied AI teams, translating behavioral signals and model outputs into robust product surfaces. This position offers the opportunity to move fast, run numerous experiments concurrently, and take full ownership of outcomes in a fast-growing startup environment.

Crusoe is seeking a Senior Production Engineer to join their team and ensure the reliability and scalability of their AI-optimized cloud platform. This role is crucial for building and operating managed AI services at scale, focusing on delivering highly available, performant, and cost-efficient AI infrastructure for compute-intensive, latency-sensitive workloads. The ideal candidate will have a strong background in distributed systems and hands-on experience with large language models.

$170k - $205k

Glean is seeking Backend/Infrastructure engineers to construct a high-performance, scalable, and secure system that ensures enterprise knowledge is readily accessible to employees in all work contexts. This role offers significant opportunities to contribute to building a modern cloud-native application stack, addressing challenges such as developing scalable distributed systems and storage, creating a unified framework for indexing diverse information sources, implementing end-to-end security measures, optimizing for instant user experience while managing system costs, and developing tooling for comprehensive monitoring and deployment across multiple cloud environments.

Scale AI

Scale is seeking a Solutions Engineer to join their growing team and ensure that innovative companies become passionate, lifelong Scale customers. In this role, you will partner closely with Account Executives, Product, and Machine Learning Engineers to guide prospective customers through the pre-sales process. You will deliver customized demos and pilots to secure the "technical win," scope customer technical requirements, and develop actionable Statements of Work (SOWs). Solutions Engineers will also collaborate with the delivery team on initial implementations, leveraging expert Scale product and Generative AI knowledge to design solutions that address customer needs and pain points. This role requires strong relationship-building, project management, and technical expertise.

Scale AI

Scale is seeking a Solutions Engineer to join our growing team and ensure that the world's most innovative companies become passionate, lifelong Scale customers. In this role, you will partner closely with Account Executives, Product, and Machine Learning Engineers to lead prospective customers through the pre-sales process, delivering customized demos and pilots to secure the "technical win." You will be responsible for scoping customer technical requirements, developing actionable Statements of Work (SOWs), and collaborating with the delivery team on initial implementations. Solutions Engineers are expected to be relentlessly curious about customer needs, leverage expert knowledge of Scale products and Generative AI, and build strong relationships while managing projects and providing technical expertise.

$180k - $225k

Scale AI

Scale is seeking a Principal Solutions Engineer to act as a senior technical leader, shaping how enterprises adopt, deploy, and scale AI with Scale. This role involves being a trusted advisor to customers and internal teams, owning complex opportunities, and driving technical strategy in close partnership with Sales, Product, and Engineering leadership. The Principal Solutions Engineer will influence product direction, define best practices, and elevate the capabilities of the Solutions Engineering organization.

$180k - $225k

Scale AI

Scale's Global Public Sector team is seeking Applied AI Engineers to build custom, end-to-end AI applications for public sector clients worldwide. This role involves leveraging the latest AI advancements to create impactful solutions, generate high-quality training data for national LLMs, and contribute to upskilling initiatives. You will work on developing and fine-tuning sophisticated models for real-world use cases, aiming to transform public sector operations and enhance citizen services through cutting-edge technology. Join a rapidly expanding team dedicated to shaping the future of AI in the public sector.

Glean is seeking a Public Sector Solutions Engineer to join their team. In this role, you will collaborate with state, local government, and education customers to demonstrate how Glean's AI-powered search can uncover critical institutional knowledge and streamline mission-critical workflows. You will leverage deep product expertise and a consultative approach to design and guide tailored technical solutions from initial discovery through successful deployment. Glean is a Work AI platform that helps everyone work smarter with AI, evolving from enterprise search to a full-scale Work AI ecosystem powering intelligent Search, an AI Assistant, and scalable AI agents on a secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean provides the infrastructure to govern, scale, and customize AI across businesses.

$110k - $235k

AI needs a new infrastructure layer, and Modal is building it. We are seeking an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you will spend roughly half your time on technical contribution and half on people management. You will work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. We are looking for an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed, earning trust through technical depth, communicating with clarity, and helping great engineers move fast and make sound decisions.

Glean is seeking a talented Quality Assurance Lead to join its rapidly expanding, VC-backed startup. Glean is the work assistant with intuition, designed to help users find exactly what they need, right when they need it, enabling teams to accomplish significant tasks. The company culture is professional, creative, passionate, and customer-obsessed. As the QA Lead, you will be instrumental in developing and driving the test automation charter, building frameworks, tools, and infrastructure for efficient and scalable testing across the Glean platform.

Glean is seeking engineers to contribute to building the world's premier search and assistant product for the workplace. Our engineers tackle a variety of systems, focusing on areas like query understanding, document comprehension, domain-adapted language models, natural language question-answering, and evaluation. You will collaborate closely with customers to understand their challenges and apply the most effective tools, whether simple or complex, to deliver solutions. This role involves inventing new signals to enhance search personalization, training models for ranking systems, designing methods to adapt language models to customer data, and exploring novel ways to integrate LLMs with search for complex question answering. You will also be responsible for writing high-quality, maintainable code and may mentor junior engineers or learn from experienced ones.