About Tenable:Tenable® is at the forefront of Exposure Management. With 44,000 organizations worldwide counting on us to mitigate cyber risk, we empower 65% of the Fortune 500, 45% of the Global 2000, and numerous governmental agencies. Join us in redefining the cybersecurity landscape!Why Choose Tenable?When you ask our team about what makes Tenable a fantastic workplace, the answer is simple: our people! Together, we innovate cutting-edge cybersecurity solutions, fostering a culture of inclusion, respect, and excellence. As part of the #OneTenable team, you'll collaborate with some of the industry's most talented professionals while having access to the resources necessary to make a meaningful impact. We strive to deliver exceptional results and celebrate our victories together!Note: Applicants must be authorized to work in the U.S. without sponsorship. We currently cannot sponsor work visas.Location: Must reside in or be willing to relocate to the San Francisco/San Jose area.Your Role:At Tenable, we're not just creating exceptional products; we're cultivating a premier engineering culture dedicated to hiring top talent. We are seeking a Senior Software Engineer to be part of a pioneering initiative within our engineering team. In this role, you will design and implement the Agentic AI Platform, an orchestration layer that empowers autonomous agents to reason, plan, and execute intricate security workflows within our Exposure Management ecosystem.This role is highly hands-on and has a significant impact. You won't merely be utilizing LLMs; you'll be constructing distributed systems, state machines, and tools that transform generative models into reliable, enterprise-grade agents.While this role is primarily remote, occasional in-person meetings may be necessary.Your Opportunity:Construct the Agentic Backbone: Design and implement backend services that facilitate multi-agent workflows, enabling AI agents to break down complex user requests, manage states, and execute tasks across distributed microservices....

Transforming AI Through Self-ImprovementAt Letta, we are pioneering the development of self-improving artificial intelligence systems. Unlike traditional AI, which can be inflexible and limited, our agents are designed to learn continuously from their experiences and adapt accordingly.Founded by the innovators behind MemGPT at UC Berkeley’s Sky Computing Lab—the home of industry-changing technologies like Spark and Ray—Letta is supported by prominent figures in AI infrastructure, including Jeff Dean and Clem Delangue. Our agents are already making a difference in production environments for esteemed companies such as 11x and Bilt Rewards, evolving and enhancing their capabilities daily.We are forming a top-tier team of researchers and engineers to tackle AI's most significant challenge: creating machines that can reason, remember, and learn as humans do.Note: This position requires in-person attendance in our downtown San Francisco office, five days a week.

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.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.

Join Airwallex as a Senior Software EngineerAt Airwallex, we are redefining the global payments and financial landscape for businesses. Our integrated financial platform empowers over 200,000 companies, including major players like Brex and SHEIN, to streamline their operations from payment processing to treasury management.Founded in Melbourne, we now boast a diverse team of over 2,000 talented professionals across 26 offices globally. With a valuation of $8 billion and backing from top-tier investors such as T. Rowe Price and Visa, we are on a mission to revolutionize the future of global banking and finance. If you are ready to take on ambitious challenges and make a significant impact, we want you on our team.What We Look ForWe seek passionate builders who thrive in a fast-paced environment and are driven by innovation. If you possess deep technical expertise, exceptional problem-solving skills, and a collaborative spirit, you will excel here. We value curiosity, humility, and the ability to turn visionary ideas into tangible products. Leverage AI to enhance efficiency and tackle complex challenges with strong teammates as we shape the future of finance together.Your RoleAs a Senior Software Engineer within our Platform Engineering team, you will play a crucial role in designing and implementing next-generation infrastructure. We are focused on developing a robust, distributed ecosystem that supports real-time AI capabilities and global financial data management.Your responsibilities will include optimizing distributed systems, enhancing JVM performance, and employing architectural patterns that facilitate real-time data processing.

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 Aircall as a Senior Software Engineer specializing in AI Voice Agents, where you'll play a pivotal role in designing and implementing innovative voice solutions. Your expertise in software development and artificial intelligence will help us enhance customer interactions through cutting-edge technology.

About UsAt Sierra, we are pioneering a transformative platform designed to empower businesses to cultivate enhanced, more human-centric customer experiences through the power of AI. Headquartered in San Francisco, we proudly maintain a collaborative in-person culture, with expanding offices in Atlanta, New York, London, France, Singapore, and Japan.Our operations are rooted in a set of core values that shape our culture and guide our actions: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles form the bedrock of our endeavors, and we are unwavering in our commitment to embody them in every aspect of our work.Our co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience to Sierra. Bret, who serves as Board Chair of OpenAI, has previously held leadership roles as co-CEO of Salesforce and CTO of Facebook, while Clay boasts an 18-year tenure at Google, where he led innovative projects including Google Lens and Project Starline.Your RoleAs a key member of our dynamic full-stack data team, you will play a pivotal role in enhancing the intelligence of our AI agents with each interaction. You will be instrumental in developing real-time data pipelines, analytics tools, and deep personalization frameworks that convert millions of conversations into actionable business insights. Your responsibilities will encompass:Data Foundations: Design and construct our foundational platform capable of efficiently managing data at scale with minimal latency. This includes developing our real-time eventing infrastructure, streaming and batch ETL pipelines, and an Iceberg-based data lakehouse. You will take ownership of interactive OLAP querying systems, orchestration processes, and experimentation frameworks, ensuring our data remains reliable, rapid, and user-friendly across the organization.Memory & Personalization: Drive the evolution of intelligent experiences by building systems for long-term agent memory, crafting reusable Customer Data Platform (CDP) components, and implementing optimization loops that enable our agents to tailor interactions, significantly enhancing business outcomes.What We’re Looking ForWe are eager to connect with candidates who possess substantial expertise in one or more of the following areas:Platform EngineeringDemonstrated experience in designing and developing scalable data architectures.

About the RoleHex Technologies is seeking experienced Senior and Staff-Level Fullstack Engineers who are passionate about contributing to our revolutionary Magic AI features.At Hex, we are dedicated to developing integrated AI functionalities that enhance and expedite analytics workflows. The potential here is extraordinary, and we are in a unique position to transform how individuals interpret and utilize data.In this position, you will spearhead the integration of AI-driven features into the Hex platform, collaborating closely with our Research Team for context and model prompting, as well as with other product engineering teams for seamless integration. Your efforts will significantly alter the data interaction experience for thousands of users, placing you at the forefront of one of the most exciting technological evolutions of our time. As a member of our Agent Platform Team, you will manage the scalable infrastructure that powers today's most advanced data agents and the innovative experimentation tools that enable rapid development of new AI features.

About MagicalMagical is an innovative automation platform that harnesses cutting-edge AI technologies for the healthcare sector, providing AI agents that operate effectively in real-world environments.We are on a mission to create 'AI employees' that streamline tedious, repetitive tasks that hinder team efficiency. Our primary focus is on the healthcare industry—a massive $4 trillion sector intricately woven with administrative challenges—where we automate processes such as claims management, prior authorizations, and eligibility checks, allowing healthcare providers to concentrate on delivering high-quality patient care.Our Growth JourneyThe transition to agentic automation in healthcare is not just a trend; it's a necessity, and we are at the forefront of this movement:• Rapid revenue growth as customers adopt our solutions for new workflows even before contract renewals.• Quick 7-day proof-of-concept projects that showcase immediate value, significantly faster than the industry average.• Self-healing automations with production-grade reliability at scale, outperforming most competitors who struggle to deliver.Unlike many AI companies that make lofty claims, we deliver dependable solutions that yield tangible results. Backed by prestigious investors like Greylock, Coatue, and Lightspeed, we have successfully raised $41 million. Our founder, Harpaul Sambhi, is a seasoned entrepreneur with a successful exit to LinkedIn in his previous venture.Role OverviewAs a Senior Backend Engineer on our Agent Platform team, you will be instrumental in developing the core systems that drive our AI agents—from orchestration and state management to model integration and evaluation pipelines. This is platform engineering at its finest: constructing the infrastructure that empowers our team to deliver reliable, production-grade automation solutions.You will work at the forefront of multi-agent systems, architecting how agents interact to tackle complex healthcare workflows. You will take ownership of vital backend services from inception to deployment and monitoring, ensuring our agents perform accurately and efficiently.This is a hybrid position requiring in-office presence three days a week at our San Francisco location.Key Responsibilities• Design and implement essential platform systems for agent orchestration, memory, and state management.• Create robust infrastructure for integrating and evaluating cutting-edge AI models at scale.• Develop APIs and abstractions that enable teams to swiftly deploy new agent functionalities.• Manage critical backend services from architecture through to deployment and ongoing monitoring.

About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco

Join Our Team at Hayden AIAt Hayden AI, we are dedicated to revolutionizing public transit and government operations through innovative computer vision technologies. Our mission is to tackle real-world challenges faced by transit systems, enabling them to enhance safety, optimize transportation, and contribute to a sustainable future.We develop advanced mobile perception systems designed to improve transit flow and street safety. As a part of our dynamic team, you will work at the forefront of technology, utilizing AWS and GCP cloud services while developing cutting-edge Linux-based edge devices.Role OverviewWe seek an enthusiastic Senior Software Engineer to enhance our data platform, ensuring it is reliable, scalable, and high-performing. In this role, you will design and construct core data infrastructure, optimize data pipelines, uphold data quality standards, and collaborate closely with product and data science teams to deliver transformative data solutions that drive business insights.

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.

Why Choose Flux?At Flux, we are transforming the landscape of hardware development by pioneering the world's first AI Hardware Engineer. Our mission is to democratize access to cutting-edge hardware creation and transform the way electronics are designed and manufactured globally.About the RoleWe are on a quest to build the first AI Hardware Engineer, software capable of designing tangible, manufacturable electronics from simple prompts. As a Senior Software Engineer focusing on Agentic Development, you will be responsible for creating the system's intelligence, developing agentic workflows, reasoning graphs, and integrations that empower both novice and experienced engineers in their journey from concept to manufacturable hardware.This position fuses advanced web engineering with AI systems design. You will leverage TypeScript and LangGraph within the Flux web application and backend platform, embedding intelligent features directly into the design environment.Key ResponsibilitiesDevelop and implement agentic reasoning capabilities using TypeScript (LangGraph).Integrate AI functionalities into the Flux web application (React/Redux) and Chat UI.Implement telemetry and logging for monitoring runtime health, performance, and cost efficiency.Collaborate closely with product and electrical engineers to refine intelligent ECAD workflows.Conduct evaluations and translate insights into engineering decisions.Contribute to the development of agentic patterns, conventions, and best practices within the engineering organization.Required Qualifications8+ years of experience in software engineering, with at least 1 year in developing generative-AI or agentic systems.Proficient in TypeScript, React, and Node.js.Experience with LangChain, LangGraph, or similar orchestration frameworks.Proven track record in building asynchronous, distributed systems in a production environment.Experience in integrating LLM-based systems into complex user-facing web products.Strong communication skills and comfort working in a fully remote, asynchronous team setting.Previous experience in a startup or in 0→1 product development environments.Preferred QualificationsFamiliarity with retrieval systems, evaluation pipelines, or agent benchmarking.

Join Perplexity as a dynamic AI Software Engineer on our innovative Comet Agents engineering team. We are a tight-knit group of AI/ML specialists, backend developers, and full-stack engineers dedicated to creating engaging agentic experiences within our Comet ecosystem. Our mission is to empower users with AI agents that genuinely understand and fulfill their intents, enabling seamless, open-ended interactions with the digital world.As a key contributor to the Comet Agents team, you will apply your AI expertise, product intuition, and creative problem-solving skills to push the boundaries of what AI agents can achieve for our millions of loyal users. Your work will span applied research and engineering, tackling various challenges in AI, including:Crafting AI agents capable of navigating the digital landscape and executing valuable tasks for users;Developing action and decision models that effectively achieve user-defined objectives based on complex multimodal states;Delivering exceptional user experiences across desktop, mobile, headless cloud, and more, utilizing flexible abstractions and seamless background processes;Implementing secure-by-design capabilities through the creation of permission architectures and payload classifiers;Designing optimal data representations and interaction modes between agents and their environments;And much more!ResponsibilitiesLead the development of cutting-edge AI functionalities within our rapidly evolving AI agents product.Utilize advanced AI models, infrastructure, and browser technologies to enhance capabilities for our expanding user base.Uphold high standards of quality and performance in AI agents and user experience.Collaborate with engineers, designers, product managers, and data scientists to integrate core Perplexity functionalities into Comet agents.Contribute to product reliability, code quality, AI evaluation, testing, and ongoing maintenance across the team.QualificationsSolid foundational knowledge of the complete AI product stack.Experience with AI/ML frameworks and backend development.Proficiency in programming languages commonly used in AI development.Ability to work collaboratively in a fast-paced, interdisciplinary environment.Strong problem-solving skills and a passion for innovation in AI technologies.

About DecagonDecagon stands at the forefront of conversational AI, empowering brands to create unparalleled customer experiences. Our platform enables leading enterprises such as Avis Budget Group, Block’s Cash App, Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that facilitate personalized, engaging interactions across voice, chat, email, SMS, and beyond.We envision a world where customer interactions transcend traditional support tickets and hold music, fostering quicker resolutions, richer dialogues, and stronger relationships. Our esteemed investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, share this vision and support our mission.As an in-office company, we are united by our commitment to excellence and rapid execution. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our collaborative work environment and team growth.About the TeamThe Agent Orchestration team is responsible for developing the foundational execution layer that drives every agent interaction. We create systems that coordinate model reasoning, assess agent behavior, and ensure reliability in real-world customer scenarios. Our focus on accuracy, dependability, and speed enables Decagon agents to plan, decide, and act effectively across millions of interactions.About the RoleAs a Senior Software Engineer on the Agent Orchestration team, you will design and develop systems that govern the performance of Decagon agents in real-world conditions. You will tackle complex challenges associated with distributed systems and lay the groundwork for enhancing agent performance, reliability, and quality.This role offers significant autonomy and the opportunity to make a direct impact on the architecture of one of the most sophisticated agent platforms globally.In this role, you will:Develop the execution engine that supports intelligent agents at scale.Design systems that synchronize model reasoning and actions while maintaining speed and accuracy.Enhance reliability through improved testing, observability, and safety measures.Establish foundations that enable teams to evaluate and enhance agent behavior safely and continuously.

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.

MidiHealth is seeking a Senior Software Engineer to join the Platform Engineering team. This hybrid role is based in the SF Bay Area and centers on building and enhancing the software that drives MidiHealth’s healthcare technology platform. The work contributes directly to improving patient outcomes through technology. Key responsibilities Design and develop software solutions for the core platform Collaborate with engineering, product, and cross-functional teams to deliver integrated features Support the reliability and scalability of the platform Location This position requires regular on-site work in the SF Bay Area as part of a hybrid schedule.