Java Jobs

Toast is seeking a Staff Software Engineer to join the Developer Experience team. This role will focus on setting the technical direction for how Toast engineers build software, identifying and solving high-leverage problems within the developer workflow. You will design and build solutions that impact hundreds of services and teams, with a particular focus on defining the future of AI-native developer experiences. The Developer Experience team builds the tools and platforms that Toast engineers use daily, including local development environments, build tooling, shared libraries, internal developer portals, and testing frameworks. Our goal is to empower every engineer at Toast to be faster, more independent, and more confident in their work.

$151k - $309k

Anthropic

The Interpretability team at Anthropic is dedicated to understanding how modern language models work, believing that a deep, mechanistic understanding is crucial for making advanced AI systems safe and steerable. This role involves building and maintaining the specialized infrastructure that powers interpretability research, akin to performing 'neuroscience' on neural networks. The work spans the entire lifecycle of a production language model, from pretraining and inference to performance optimization, and directly contributes to safety audits on frontier models.

$315k - $560k

Glean is seeking a Machine Learning Engineer to enhance the quality of its AI Assistant and autonomous agents. This role bridges production machine learning, LLM-powered systems, and product engineering, focusing on developing, evaluating, and refining assistant experiences for reliability and usefulness within enterprise workflows. You will tackle applied challenges in agent quality, evaluation, personalization, retrieval, and orchestration, with an emphasis on shipping production systems and improving the assistant's capabilities over time through enhanced signals, feedback loops, and end-to-end execution.

$180k - $205k

Glean is seeking software engineers to contribute to building a leading search and assistant product for the workplace. Engineers will work across the technology stack, focusing on areas such as generative AI, Retrieval Augmented Generation (RAG), query and document understanding, domain-adapted language models, natural language question-answering, and evaluation. The role involves close interaction with customers to understand their challenges and applying the most effective tools to solve them.

$175k - $270k

Glean is seeking driven engineers to tackle cutting-edge challenges in data and AI security and governance. In this fast-paced startup environment, you will empathize with customer needs, research the domain, and devise novel solutions to complex problems. You will collaborate with product managers and designers to balance engineering constraints with requirements, delivering intuitive and reliable experiences for enterprises to ensure user safety.

$140k - $265k

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 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 like code and memory, and the supporting infrastructure and documentation. As part of a rapidly growing startup, this role involves working across multiple layers of the stack, from backend services to developer tools and SDKs.

$210k - $300k

Glean is seeking a Software Engineer, Developer Productivity to enhance how our engineers build, test, and ship software. This role involves optimizing our multi-language codebase, which is powered by Bazel and runs on GitHub Actions with cloud remote execution. You will be instrumental in designing and refining build systems, CI/CD pipelines, and developer tools. A key aspect of this position will be enabling engineers to effectively utilize AI-powered coding and productivity tools, ultimately reducing friction in daily workflows, scaling our infrastructure, and accelerating the entire engineering team's progress with confidence.

$140k - $220k

Glean is seeking creative engineers to own and launch delightful user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements to deliver intuitive experiences for modern mobile and desktop browsers. You will oversee greenfield features from inception to launch, architecting robust REST APIs and writing efficient, maintainable code. This is an opportunity to shape how the world works by building systems used daily across major platforms and embedding agentic capabilities into an open, extensible stack.

$140k - $265k

Glean is seeking a Backend/Infrastructure Engineer to build and evolve the Storage layer that powers a highly available, performant, secure, and cost-effective suite of storage options for all data at Glean. You will own the storage systems that handle Glean’s most sensitive data, from enterprise documents and permission hierarchies to user behavioral signals and real-time query path data. Your work will directly enable organizations at scale to discover and act on their critical knowledge, supporting millions of searches, chat interactions, and agent workflows. You’ll deliver robust uptime guarantees, autoscaling, and reliable alerting/monitoring for a key component that runs across multiple cloud providers. As part of the Storage team, you’ll be responsible for a critical piece of Glean’s infrastructure, working closely with several other teams to support their workloads. You’ll also work across the stack to abstract cloud differences, reduce human intervention through self-healing systems, and drive real business impact by enabling Glean’s ever-growing scale.

$200k - $300k

Glean is seeking a Tech Lead for its Admin Console team to engineer a critical product surface that enables customers to deploy, govern, and scale Glean across their organizations. This high-impact, full-stack role involves guiding architecture, collaborating with product and design, and growing a strategically important team. The Admin Console serves as the control plane for enterprise activation, admin confidence, and scalable rollout, allowing admins to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a central hub. As Glean transitions into an AI platform, this team's focus is expanding from data source management to overseeing the broader system context, including actions, live data, governance, and AI configuration.

$200k - $300k

The Agentic Runtime team builds the low-latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

$180k - $210k

Glean is seeking creative engineers to own and launch user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements, and overseeing greenfield features from inception to launch. You will work within a rapidly growing startup, contributing to systems used daily across major platforms like Microsoft Teams and Zoom. The focus is on shipping agentic capabilities on an open, extensible stack, ensuring enterprise-grade trust and making every employee AI-fluent.

$140k - $265k

Accenture

You will design, build, and deploy production-grade agentic AI solutions across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. The position offers broad exposure across industries and enterprise technology stacks, with opportunities for vendor fellowship access and a direct pathway to a Forward Deployed Engineer program.

Salesforce is seeking a Software Engineering, AI Systems professional to join Salesforce AI Labs. This role involves building a product that learns from human demonstrations to automate complex workflows across enterprise applications. You will tackle challenging engineering problems related to agent dependability, reasoning, and error recovery. The position offers the opportunity to work directly with customers, own substantial systems from design to deployment, and contribute to taking a new offering from early adoption to general availability, supported by Salesforce's scale.

$149k - $224k

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that autonomously ship features and make prioritization calls by ensuring Nova can handle trillions of events in real-time. You will work across the full stack of this modern OLAP system, driving improvements in performance, cost-efficiency, and reliability. This is an opportunity to influence technical direction, mentor other engineers, and make a significant impact on a system that directly serves thousands of customers.

$198k - $299k

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that will autonomously ship features, run experiments, and make prioritization calls. You will work across the full stack of a modern OLAP system, including query planning and execution, columnar storage, distributed compute, caching, and cloud infrastructure. The goal is to drive significant improvements in performance, cost-efficiency, and reliability at scale, ensuring Nova can handle the increasing demand from non-stop AI agents. This position offers the opportunity to influence technical direction, mentor other engineers, and make a tangible impact on a system that serves thousands of customers.

$198k - $299k

Salesforce is seeking a Lead Software Engineer for its new AI Labs business unit, focused on driving large-scale transformation through generative AI and a leading platform for mission-critical workloads. In this role, you will contribute high-quality code to complex problems, touching every phase of the product lifecycle from ideation and prototyping to feature execution and release. You will work closely with talented engineers and AI researchers, collaborating with technical and non-technical colleagues to identify and solve real customer problems. The role involves embedding with demanding customers to understand their challenges and implement solutions, leveraging Salesforce products, open-source technologies, and custom-built tools. We value engineers who can write clean, effective code, learn new languages quickly, and adapt to diverse customer environments to deliver scalable solutions.

$149k - $314k

Confido is seeking a Senior ML Ops Engineer to be the first dedicated owner of its ML platform. This role will be responsible for the pipelines, serving, and cloud foundation that enable AI/ML models and agents to operate reliably and cost-efficiently in production. The engineer will ensure the platform can handle large-scale workloads, including document understanding, forecasting, and agentic systems, with a focus on making AI/ML development and deployment seamless for the AI/ML team.

$210k - $300k

Temporal is seeking a Staff Software Engineer to lead AI agent optimization efforts. This role involves designing and building tools and mechanisms to help users optimize AI agents for token spend, response time, and result quality. You will focus on techniques like model routing, multi-agent architecture, cache policy, and context management, requiring direct experience in this problem domain. You will collaborate with other AI Foundations team members on agentic development, ecosystem integrations, and policy/security systems, blending theory and practice to solve customer problems and ship fast.

$170k - $278k

Accenture

Accenture Song is seeking a senior technical practitioner to embed directly into client organizations across Central and Eastern Europe. In this role, you will be the technical owner on the ground, responsible for scoping problems, building AI solutions, and demonstrating AI-native delivery. You will work at the intersection of engineering, product thinking, and client delivery, moving from vague client problems to working proofs of concept in days and production-grade deployments in weeks. The expectation is to own outcomes end-to-end, bringing AI tools into real delivery contexts and impact, with a deep understanding of how engineering decisions affect user experience.