Senior Principal Engineer - Platform Engineering

JOIN OUR TEAM AS A PRINCIPAL SOFTWARE ENGINEERAs a Principal Software Engineer at Saviynt, you will take the helm in designing, developing, and scaling our core Java-based backend services that drive our multi-tenant AI platform. Your expertise will be pivotal in architecting and optimizing platform components to handle high-throughput, low-latency, and mission-critical workflows.Your role will encompass integrating and managing essential data systems, including relational databases, Redis, Elasticsearch, and LDAP, ensuring they perform reliably and are always available. You will spearhead the modernization of backend services, refactoring legacy Java components while transitioning to contemporary patterns such as reactive programming and event-driven architectures.In this collaborative environment, you will work closely with cross-functional teams across DevOps, Security, SRE, and Application Engineering to enhance platform capabilities. You will evaluate and implement scalable solutions for authentication, authorization, tenant isolation, and configuration management.As a mentor, you will guide engineers in deep Java design principles, debugging complex issues, and engineering for reliability. You will also be responsible for developing and maintaining platform APIs, service orchestration logic, and critical workflows that support core business operations. Your keen eye will help identify and remediate bottlenecks in Java services, JVM performance, and memory management. Additionally, you will build automation and guardrails that enhance developer productivity and service reliability through CI/CD pipelines and code linting.Partnering with architecture and leadership, you will drive the long-term technical strategy and evolution of our platform.

Welcome to Demandbase:At Demandbase, we are pioneering the only pipeline AI platform designed to empower go-to-market (GTM) teams in automating growth at scale. Our platform offers a holistic view of data, insights, actions, and outcomes, allowing B2B enterprises to effectively align and implement their account-based GTM strategies with confidence. Trusted by thousands of businesses, we help maximize revenue, reduce waste, and streamline data and technology stacks—all within a single platform.Our commitment extends beyond technology; we invest deeply in our teams, culture, and the communities we serve. Recognized continually as one of the Best Places to Work in the San Francisco Bay Area by Fortune and as one of the 60 Best Companies to Sell For by Selling Power, our offices are strategically located in San Francisco, New York, Austin, Seattle, India, and the United Kingdom.Role OverviewAs a Principal AI Software Engineer, you will spearhead the design and implementation of AI-native platforms that will transform how Demandbase develops and scales intelligent systems. Acting as a technical beacon, you will lead the evolution from traditional SaaS architectures to autonomous, agent-driven systems powered by generative AI.This is a senior-level individual contributor position with significant influence across the enterprise. You will establish architectural directions, collaborate closely with Product and Engineering leadership, and ensure our infrastructure and platforms are equipped to support large language models (LLMs), agentic workflows, and real-time AI-driven capabilities at scale.The base compensation for this position is applicable to candidates based in San Francisco, CA. For candidates located elsewhere, the base compensation will align with the primary work location, as our compensation ranges are location-specific. Actual compensation packages will reflect a variety of factors unique to each candidate, including skill set, years of experience, and depth of expertise.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare through our innovative AI-powered platform. We specialize in transforming medical conversations into structured clinical notes in real-time, enabling clinicians to prioritize patient care. Our enterprise-grade technology seamlessly integrates with electronic medical records (EMRs) to ensure accuracy and trust in AI-generated summaries.As pioneers in generative AI for healthcare, we are setting the industry benchmarks for responsible AI deployment across health systems. Our diverse team consists of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers united in their mission to empower patients and make healthcare more comprehensible. We have offices located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.The RoleJoin us as an AI Platform Engineer, where your work will significantly impact the healthcare sector. You will collaborate with a multidisciplinary team of researchers, clinical scientists, and product engineers to design and develop the runtime, orchestration engine, and evaluation platform necessary for agentic orchestration and LLM-driven workflows.What You’ll DoCreate GenAI systems that transform LLMs into composable, reliable tools, utilizing retrieval, tool use, agentic reasoning, and structured outputs.Develop a highly reliable and scalable agent runtime that includes orchestration, shared state and memory, tool-calling interfaces, and scheduling focused on cost, latency, and quality.Build secure, sandboxed environments for agent actions and code, optimizing for cold start, isolation, and observability.Deliver unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors.Create an evaluation platform for both online and offline assessments, A/B testing, safety checks, and regression gates that enhance agent reliability over time.Collaborate with Research to bring new agent capabilities from prototype to production.What You’ll BringDemonstrated experience in building agent applications with tool-calling, context engineering, and related technologies.Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.Familiarity with generative AI technologies and their applications in healthcare.

Join Pinterest as a Principal Engineer for our Compute Platform, where you'll play a crucial role in driving the architecture and implementation of scalable systems that power our services. You will lead a team of talented engineers, guiding them in building innovative solutions that enhance our platform's performance and reliability.In this position, you will have the opportunity to collaborate with cross-functional teams, mentor junior engineers, and contribute to the development of best practices and high-quality code. If you are passionate about technology and eager to make an impact, we would love to hear from you!

Are you ready to push the boundaries of your capabilities?At Coinbase, we are on a mission to enhance economic freedom globally. This ambitious goal challenges us to excel every day as we construct the future of the on-chain platform and the global financial system.We are looking for a unique individual who is not only passionate about our mission but also believes in the transformative potential of cryptocurrency and blockchain technology in modernizing the financial landscape. We seek someone eager to make a significant impact, thrives under pressure, collaborates with exceptional colleagues, and actively seeks constructive feedback to foster personal growth. We want someone who approaches the company's toughest challenges head-on.Our work culture is intense and may not be for everyone. However, if you aspire to shape the future alongside high-performing peers who expect the same from you, there is no better place to be.While many positions at Coinbase embrace a remote-first approach, we are not entirely remote. In-person participation is required periodically throughout the year. We organize team and company-wide retreats multiple times annually to enhance collaboration, connection, and alignment, and attendance is both expected and supported.As we strive to fulfill our mission, we are evolving into an "AI-first" organization, fundamentally rethinking the operations of a global financial institution. Artificial Intelligence is central to this strategy, enhancing our core processes while human experts provide high-level judgment as the system's "function calls".The RoleWe are in search of a visionary Principal Software Engineer with a focus on AI to serve as the technical guiding force for our AI Automation initiatives. You will be responsible for developing Agentic AI systems that drive multiple organization-wide projects, including their foundational elements, orchestration layers, and the tools necessary for every Coinbase team to automate their workflows. Reporting to the VP of Engineering, you will operate with a high degree of autonomy to define the essence of a fully AI-driven enterprise from the ground up.What You’ll DoArchitect Agentic Systems: Innovate and construct sophisticated multi-agent architectures that transition from simple interactions to autonomous execution and intricate reasoning.Tackle the "Hard Problems" of AI: Establish and implement reliable evaluation frameworks, eliminate hallucinations through rigorous data grounding, and build comprehensive solutions.

In an era where software is increasingly integrated with artificial intelligence, Scale AI stands at the forefront of this transformation. Our mission is to revolutionize how individuals interact with AI, enhancing human capabilities and redefining productivity. Our groundbreaking products, including the Generative AI Data Engine and SGP, empower leading enterprises and organizations to harness the power of AI through large language models (LLMs) at an unprecedented scale.As part of our innovative Platform Engineering team, you will play a pivotal role in designing and developing robust data storage, streaming, caching, and indexing systems that are essential for our AI solutions. This position offers a unique opportunity to engage with cutting-edge technologies and contribute to the evolution of AI in various sectors, including enterprise, government, and technology.

Role overview Harvey seeks a Staff Software Engineer to strengthen the AI Platform team in San Francisco. The position focuses on designing and building advanced software solutions that extend the platform’s AI features. Collaboration is central to this role. The engineer will work closely with colleagues across different teams to deliver systems that are both scalable and efficient. Every project supports Harvey’s broader mission and long-term goals. What you will do Design and implement software components that enhance AI capabilities Work with teams throughout the company to deliver reliable, high-performance systems Contribute to platform improvements that support Harvey’s mission Location This position is based in San Francisco.

About UsAt Twelve Labs, we are at the forefront of innovation, creating advanced multimodal foundation models that enable machines to understand videos in a human-like manner. Our groundbreaking approach to video-language modeling is setting new benchmarks, enhancing our ability to analyze and interact with diverse media formats.With an impressive $107 million in funding from leading venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as visionary AI leaders like Fei-Fei Li and Alexandr Wang, we are strategically positioned to drive global innovation. Our headquarters in San Francisco, along with a significant presence in Seoul, illustrates our commitment to reshaping the future of technology.We celebrate the unique journeys of every individual and believe that our diverse backgrounds fuel our creativity and innovation. We invite passionate individuals who share our mission to join us in transforming video understanding and multimodal AI.Role OverviewUnlike typical video engineering roles that focus primarily on enhancing human playback, at Twelve Labs, we engineer video for machine comprehension. This unique approach prioritizes AI model performance over mere perceptual quality. As the Principal Software Engineer for Video Engineering, you will architect and implement our video processing pipelines, overseeing the entire journey from byte ingestion through to playback. Your work will be pivotal in ensuring our systems are efficient, cost-effective, and tailored for AI-driven video intelligence at scale.Your ResponsibilitiesEnd-to-End Ownership: Lead the design and execution of video pipelines, covering ingestion, decoding, chunking, storage, and playback, applicable to both batch and streaming modes.Codec Expertise: Guide the development of decoding strategies, container format management, and codec implementations, ensuring optimal performance for various video types.

About the RoleHinge Health is a leading digital health company dedicated to delivering innovative, evidence-based solutions for musculoskeletal (MSK) pain management. Our unique approach combines personalized exercise therapy with virtual care, empowering individuals to effectively manage chronic pain and enhance their quality of life, all while reducing healthcare costs. By partnering with employers and health plans, we aim to scale our solutions and improve overall employee health and productivity.Join our dynamic AI platform team at Hinge Health, where we are at the forefront of revolutionizing how businesses harness the power of Artificial Intelligence. We are searching for a Senior Software Engineer with a robust background in software engineering and a passion for AI to contribute to our mission.As a Senior Software Engineer, you will play a crucial role in developing and maintaining vital components of our AI infrastructure. You will collaborate closely with engineers and data scientists to ensure the platform effectively supports the intricate needs of AI models and machine learning workflows.Our team thrives in a continuous deployment DevOps culture, taking pride in maintaining high standards of code in production. Our production systems leverage technologies such as React Native, React, Node.js, TypeScript, Python, Nestjs, GraphQL, Docker, AWS, Postgres, Redis, Apollo, and Redux. We follow a trunk-based CI/CD workflow and uphold the highest security and compliance standards, including HIPAA, HITRUST, SOC 2, and CCPA.What You'll AccomplishCollaborate with the AI/ML team to effectively integrate models and agents into the platform, ensuring seamless deployment.Write clean, maintainable code with a focus on performance, reliability, and scalability.Develop and sustain APIs and microservices that facilitate AI model and agent deployment and data processing.Troubleshoot and resolve platform performance, integration, and reliability issues.Work alongside cross-functional teams to gather technical requirements and deliver efficient solutions.Contribute to ongoing improvements in the AI platform’s systems and workflows, providing ideas and feedback during architectural discussions.Hinge Health Hybrid ModelWe recognize that both remote and in-person work offer unique benefits, and we aim to capitalize on the strengths of both approaches. Employees in hybrid roles enjoy the flexibility of working from home while also engaging in person as needed.

Plasmidsaurus helps scientists worldwide by streamlining sequencing. Researchers from leading institutions and companies rely on this platform daily. With a global network of labs, the company delivers fast, affordable sequencing results, and has recently expanded into RNA-seq to broaden its genomics reach. The team is focused on building a universal sequencing platform designed for efficiency and global scale. Role overview The Lead Engineer for AI Infrastructure in Platform Engineering sets both technical direction and management strategy for the company’s compute, data, AI, and security infrastructure. This position oversees the entire sequencing operation, from laboratory devices to data delivery. What you will do Oversee core services that coordinate laboratory devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline. Develop cloud infrastructure and data pipelines for storing, processing, and delivering terabytes of sequencing data. Design systems to manage millions of bioinformatics tasks, handling queue management, workflow orchestration, and scheduling. Build AI infrastructure and internal tools to support autonomous systems, including: Quality Scientist Agents: Monitor operations, detect anomalies, and escalate quality or reliability concerns. Logistics Agents: Coordinate global transportation of samples to labs and carriers. Bioinformatics Coding Agents: Run adaptive analyses on varied sample types with different data distributions. Culture The team values initiative and a strong sense of ownership. High agency and responsibility shape how work gets done at Plasmidsaurus.

Your Contribution at Lila Sciences We are on the lookout for a Principal Software Engineer with full stack proficiency to become an integral part of our software team. You will play a key role in shaping the future of our AI-powered scientific platform. This position involves designing, constructing, and fine-tuning backend systems that support intelligent, data-centric applications. Your focus will be on creating user interfaces, services, high-performance APIs, and databases while ensuring the robustness of services that merge advanced AI frameworks with intricate scientific analytics and lab workflows. Collaboration is vital as you'll work alongside ML researchers, platform engineers, and scientists to build systems capable of managing varied workloads and scaling effortlessly. This includes working with structured SQL databases, data lake houses, and vector databases. If you are enthusiastic about crafting high-performance and sophisticated systems, we would love to connect with you! Your Responsibilities UI and API Development: Create secure, high-performance, and well-documented user interfaces and APIs that integrate seamlessly with AI applications. Database Design and Management: Develop schemas and oversee diverse data systems (including SQL, NoSQL, and Vector DBs) for peak performance and scalability. Application Implementation: Spearhead the development of both front-end and backend services with an emphasis on performance, maintainability, and reliability. System Optimization: Identify and resolve system bottlenecks to ensure high availability and low-latency performance across large-scale workloads. Cloud Services and Infrastructure: Utilize AWS services, Kubernetes, and cutting-edge DevOps practices to design and deploy production-ready systems at scale. Collaborative Development: Partner with ML researchers, engineers, and scientists to weave data pipelines, APIs, and cloud infrastructure into scientific workflows.

At ClickUp, we are not just creating software, we are crafting the future of work! In a landscape saturated with work complexities, we envisioned a better solution. This vision led to the development of the first genuinely integrated AI workspace, seamlessly combining tasks, documents, chat, calendar, and enterprise search, all enhanced by context-sensitive AI. This empowers millions of teams to break down barriers, reclaim their time, and elevate productivity to new heights. Here at ClickUp, you will have the chance to learn, leverage, and innovate with AI in ways that will not only transform our product but also redefine the future of work itself. Join us in being part of a daring, innovative team that is reshaping possibilities! Role Overview:We are in search of a highly talented and experienced Staff AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will significantly contribute to the development of our core AI platform and directly utilize large language models (LLMs) to implement intelligent features across ClickUp. Your focus will be on back-end systems that facilitate scalable, dependable, and secure AI-driven capabilities, while also engaging hands-on with LLMs to address real user challenges and propel product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services to support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to build and enhance ClickUp’s intelligent features, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and maintain robust APIs and backend systems that facilitate seamless integration of AI-enhanced features into ClickUp’s core platform.Create infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost-efficiency.Promote best practices in AI privacy, security, and compliance, including data anonymization and secure data handling.Optimize platform performance, scalability, and cost-efficiency, utilizing cloud-native technologies and distributed systems.Stay abreast of advancements in AI infrastructure, MLOps, and LLM applications, and proactively apply relevant innovations to ClickUp’s AI platform.Collaborate cross-functionally with teams to drive AI initiatives.

ABOUT RETELL AIAt Retell AI, we are revolutionizing the call center experience using cutting-edge voice AI technology. In just 18 months since our inception, thousands of companies have leveraged our AI voice agents to streamline sales, support, and logistics operations that previously required extensive human teams. Supported by prominent investors such as Y Combinator and Alt Capital, we have grown from $5M to an impressive $36M ARR with a dedicated team of 20.Our ambitious vision for 2026 is to create a state-of-the-art customer experience platform where entire contact centers are driven by AI. Rather than relying on basic automation that necessitates constant human oversight, we are developing intelligent AI “workers” to function as frontline agents, QA analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.As we rapidly expand, we seek passionate innovators eager to solve complex technical challenges, move swiftly, and make a meaningful impact at one of the fastest-growing voice AI startups. Join us in building the future!Ranked among the top 50 AI applications in the a16z list: https://tinyurl.com/5853dt2xRanked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on the Leana I leaderboard: https://leanaileaderboard.com/THE ROLEWe are in search of a Principal/Staff Engineer to spearhead the technical direction of our core platform. This is an individual contributor role designed for someone who excels in uncertainty, acts swiftly, and elevates the standards of those around them.You will engage with various systems, infrastructure, and product surfaces while collaborating closely with engineering teams, product managers, and leadership to scale successful initiatives and innovate for the future.This role is not about merely addressing tickets; you will identify challenges, engineer solutions, and deliver impactful results.KEY RESPONSIBILITIESLead the design and evolution of our core platform and systems architecture.Oversee complex technical projects from inception to production.Make strategic technical decisions that optimize for speed, reliability, and scalability.Collaborate across teams to facilitate knowledge sharing and best practices.

In a world where software is rapidly evolving, artificial intelligence (AI) is at the forefront, transforming how we interact with technology. At Scale AI, we recognize the immense potential of AI to enhance human capabilities, offering personalized support across various aspects of life—from coaching and tutoring to shopping and travel guidance. As enterprises, startups, and governments rush to integrate large language models (LLMs) into their operations, it is crucial to ensure these systems are safe, aligned, and effective. This involves rigorous human evaluation and reinforcement learning through human feedback (RLHF) during all stages of model development.Our innovative products, including the Generative AI Data Engine, SGP, and Donovan, are designed to empower the most advanced LLMs and generative models globally. By leveraging world-class RLHF, human data generation, model evaluation, safety, and alignment, we are shaping the future of human-AI interaction.As a member of our Platform Engineering team, you will play a pivotal role in designing and developing the foundational platforms that support Scale's operations. Your responsibilities will include architecting our core cloud infrastructure, enhancing our data lifecycle, and transforming the software development process for engineers at Scale. You will gain invaluable insights into the AI landscape as it develops within diverse sectors.

Join Databricks as a Staff Backend Software Engineer on our cutting-edge AI Platform team. We are on a mission to simplify data and AI for enterprises worldwide. In this role, you will be pivotal in developing robust backend systems that support our AI initiatives, driving innovation and efficiency.As a member of our dynamic team, you will work with the latest technologies and methodologies to create scalable solutions that meet the needs of our clients. Your expertise will help shape the future of our AI Platform, delivering exceptional user experiences and insights.

Join Databricks as a Staff Backend Software Engineer on our AI Platform team, where you will play a pivotal role in shaping the future of data analytics and machine learning. You will work collaboratively with talented engineers to design, develop, and enhance robust backend systems that drive our cutting-edge AI solutions. Your innovative mindset and technical expertise will help us deliver unparalleled value to our customers.

Join our innovative team at Databricks as a Staff Backend Software Engineer focusing on our cutting-edge AI Platform. In this pivotal role, you will be responsible for designing, developing, and optimizing backend systems that empower data scientists and engineers to build AI applications efficiently.As a key contributor, you will work closely with cross-functional teams to deliver scalable solutions that enhance our platform's capabilities. Your expertise will drive the development of robust features that support machine learning workflows and big data processing.

Join Databricks as a Staff Backend Software Engineer for our cutting-edge AI Platform. In this pivotal role, you will design and implement robust backend systems that power innovative AI solutions. Collaborate with a talented team to drive impactful projects and shape the future of data and AI.

Join the Team at Bretton AIBretton AI stands at the forefront of artificial intelligence in the financial services sector, providing an essential platform that organizations like Robinhood, Mercury, and Gusto rely on to streamline critical tasks, including anti-money laundering and counter-terrorism efforts.With over $95 million raised from renowned investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are located in the heart of San Francisco. Our talented team hails from prestigious companies including SpaceX, Google, Netflix, Stripe, and Plaid.Your RoleAs a Platform Engineer, you will be instrumental in constructing and maintaining the infrastructure that underpins our compliance solutions at scale. You will take charge of reliability, performance, and scalability across our core platforms.Your responsibilities will include designing Postgres schemas, optimizing queries, developing high-throughput services, orchestrating long-running workflows with Temporal, and ensuring we maintain a commitment to a remarkable 99.9%+ uptime for our clients who process thousands of cases daily.In this role, you'll produce backend code for production, design distributed systems, and manage the infrastructure that allows our product teams to deploy rapidly and efficiently.Key ResponsibilitiesDevelop APIs and services capable of managing thousands of concurrent requests.Create ingestion → assessment → delivery pipelines for our case management.Implement Temporal workflows to manage long-running, stateful processes.Design and refine PostgreSQL schemas and queries for compliance workflows.Oversee CI/CD, deployments, and infrastructure-as-code while enhancing observability through logging, tracing, and metrics.Troubleshoot slow queries, memory leaks, and race conditions in our production systems.What We're SeekingEssential Qualifications4+ years for Engineer / 6+ years for Sr. Engineer / 8+ years for Staff Engineer in backend or infrastructure roles.Strong understanding of systems fundamentals, including distributed systems, databases, APIs, and concurrency.Demonstrated production experience with live systems, including debugging, incident response, and participation in on-call rotations.