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Exposure to AI-native companies, developer platforms, or data/AI infrastructure organizations. Interest in experimenting with AI-driven recruiting workflows and automation We are a team of self-starters who excel in their fields. We believe in giving you responsibility, not a task. We want you to have ownership and pride in the work you are doing, and see the positive impact of your work on your colleagues, our customers, and the world. We believe in providing transparency and support, so you can do the best work of your career. This role requires 3 days per week in our Santa Clara office. We embrace a hybrid model that drives collaboration, enhances culture, and accelerates team development through a blend of remote and in-person work. Please note this role is open to SF Bay Area and categorized as hybrid. The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for commissions and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, and experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68760287021", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68759059432, "name": "Lead Platform Engineer", "posting_name": "Lead Platform Engineer", "location": "Bangalore, Karnataka, India", "locations": ["Bangalore, Karnataka, India"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1775039179, "t_create": 1768197886, "ats_job_id": 68759059432, "display_job_id": 68759059432, "type": "ATS", "id_locale": "68759059432-en", "job_description": "About Eightfold Eightfold is a global leader in AI-native enterprise talent platforms, trusted by many of the world's largest Fortune 500 organizations. Our platform is built from the ground up to operate at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the U.S. Government, supporting users in 100+ countries and 30+ languages. Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still in the experimental phase. Backed by $410M+ in funding and valued at $2B+, we are defining the next era of agentic talent systems. What sets Eightfold apart is not just our technology and mission, but our people. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our teams work closely across functions and locations to build systems that scale in real-world enterprise environments. About the role We are looking for a Lead Platform Engineer to join our Core Infrastructure team and help shape the technical foundation of Eightfold's core products. This role is ideal for an experienced engineer who enjoys working on complex distributed systems, setting technical direction, and mentoring other engineers while remaining hands-on. You will lead the design and evolution of large-scale cloud based platforms, drive architectural decisions, and collaborate closely with cross-functional teams to deliver reliable, high-performance solutions that support millions of users globally. What You Will Do \u25cf Design, develop, and maintain large-scale software platforms serving millions of users worldwide \u25cf Provide technical leadership and architectural guidance for the core data platform and related services \u25cf Own and drive key technical decisions, ensuring alignment across teams on design and implementation \u25cf Build and deploy microservices using containerization technologies such as Docker and Kubernetes \u25cf Deliver high-performance, reliable, and scalable solutions using best-in-class technologies \u25cf Lead complex projects from design through production, ensuring quality, scalability, and timely delivery \u25cf Diagnose and resolve complex issues within distributed systems environments \u25cf Support the deployment and operation of products across multiple environments \u25cf Mentor engineers through design reviews, code reviews, and technical guidance \u25cf Collaborate cross-functionally with Engineering, Operations, Analytics, Marketing, and Business teams. What You Bring \u25cf Proven experience designing and delivering complex, high-performance distributed systems in production \u25cf Strong backend engineering experience with containerized services in real-world environments \u25cf 1+ years of hands-on experience with Docker and Kubernetes in production systems \u25cf Strong understanding of distributed systems design principles \u25cf Excellent problem-solving and data analysis skills \u25cf Experience with cloud platforms such as AWS, Azure, or GCP \u25cf Familiarity with big data technologies (e.g., Spark, Hadoop, Kafka) \u25cf Proficiency using modern AI-assisted development tools (e.g., GenAI tools, Cursor, Claude) \u25cf Ability to lead by example, mentor engineers, and raise overall engineering standards Hybrid Work Eightfold follows a hybrid work model that balances flexibility with in-person collaboration. Employees based near our Santa Clara, Bangalore, and Noida offices are expected to work from the office three days per week, as regular in-person engagement is essential to how we build high-impact products and strong teams.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68759059432", "isPrivate": false, "latlongs": "12.9715987,77.5945627"}, {"id": 68758881875, "name": "Senior Machine Learning Engineer - GenAI, LLM, Agentic AI", "posting_name": "Senior Machine Learning Engineer - GenAI, LLM, Agentic AI", "location": "Santa Clara, CA, USA", "locations": ["Santa Clara, CA, USA"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1774389354, "t_create": 1766533351, "ats_job_id": 68758881875, "display_job_id": 68758881875, "type": "ATS", "id_locale": "68758881875-en", "job_description": "Research, design, development, and deployment of advanced AI agents and agentic systems. Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities. Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence. Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale. Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions. Diagnose and troubleshoot issues in complex distributed environments and optimize system performance. Contribute to the team's technical growth and knowledge sharing. Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products. Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences. Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution. Knowledge and passion in machine learning algorithms, GenAI, LLMs, and Agentic AI Understanding of agent-based modeling, reinforcement learning, and autonomous systems. Experience with large language models (LLMs) and their applications in Agentic AI. Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch. Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes). Understanding of distributed system design patterns and microservices architecture. Demonstrable Coding and Algorithms skills. Excellent problem-solving and data analysis skills. Strong communication and collaboration skills. Bachelors o Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience. Min 2-5+ years of relevant machine learning work experience. Research experience in agentic AI or related fields. Experience building and deploying AI agents in real-world applications.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68758881875", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68759035528, "name": "Staff Software Engineer - Agentic AI Product ", "posting_name": "Staff Software Engineer - Agentic AI Product ", "location": "Santa Clara, CA", "locations": ["Santa Clara, CA"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1772678590, "t_create": 1767896931, "ats_job_id": 68759035528, "display_job_id": 68759035528, "type": "ATS", "id_locale": "68759035528-en", "job_description": "Design and build customer-facing enhancements, integrations, and custom workflows that scale across the platform. Establish best practices for observability, debugging, testing, and incident response in customer-facing systems. Own end-to-end design and implementation of complex, cross-cutting features spanning multiple services or product areas. Drive architectural decisions focused on reliability, performance, extensibility, and maintainability. Partner closely with Product Management, Platform Engineering, and Applied AI teams to deliver solutions aligned with customer outcomes. 8+ years of professional software engineering experience, including ownership of production systems at scale. Strong backend engineering experience (e.g., Java, Python, Scala, or similar) with distributed systems. Proven experience handling enterprise customer escalations and complex production issues. Deep understanding of system design, APIs, data pipelines, and service-oriented or microservices architectures. Ability to operate effectively in ambiguous environments with competing customer and platform priorities. Demonstrated experience mentoring engineers and influencing technical direction across teams. Hands-on experience building frontend applications with React, Angular, and related UI frameworks Strong communication skills. Experience in Customer Engineering and/or Solutions Engineering, within a SaaS company. Familiarity with enterprise integrations, data ingestion pipelines, and customer-specific configurations. Experience working with cloud infrastructure (AWS, GCP, or Azure) and production monitoring tools. Exposure to AI/ML-enabled platforms or data-intensive products.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68759035528", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68758128690, "name": "Sr Software Engineer - FullStack - Agentic AI Product Team", "posting_name": "Sr Software Engineer - FullStack - Agentic AI Product Team", "location": "Santa Clara, CA", "locations": ["Santa Clara, CA"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1771542534, "t_create": 1761681988, "ats_job_id": 68758128690, "display_job_id": 68758128690, "type": "ATS", "id_locale": "68758128690-en", "job_description": "\ufeffAbout Eightfold Eightfold is a global leader in AI-native enterprise talent platform, trusted by the world's largest & most respected fortune 500 organizations. Our platform is built from the ground up operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. Backed by over $410M in funding and valued at $2B+, we are defining the next era of agentic talent systems. What sets Eightfold apart is not just the technology & our mission, but the team behind it. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our engineers, product leaders, and go-to-market teams work closely together \u2014 in person and across functions \u2014 to build systems that scale in the real world. If you're excited to work on hard problems, move with urgency, raise the bar every day, and help build agentic systems that transform how the world works, Eightfold is the place to do it. About the Job As part of the Talent Acquisition AI product dev team, you will build features for our AI-powered talent product. You will be responsible for medium to large projects, owning technical design and execution. You will collaborate closely product managers, designers, and your tech lead to deliver these features. Read this Blog about Eightfold's AI Agent Recruiter product. The Opportunity We are seeking a talented and passionate Software Engineer to join our team, focusing on building and enhancing AI-powered web applications. In this role, you will be instrumental in bringing our advanced AI models to life through intuitive and powerful user interfaces. You will work across the full stack, contributing to both the frontend and backend of our core products, ensuring a seamless and intelligent user experience for our enterprise customers. What You'll Do Design, develop, and deploy scalable and robust web applications that leverage our AI and machine learning capabilities. Collaborate closely with AI/ML engineers, product managers, and UX/UI designers to translate complex AI functionalities into user-friendly features. Contribute to all layers of the application stack, from database design and API development to responsive frontend interfaces. Optimize web applications for performance, scalability, and security, ensuring a smooth experience for thousands of users. Participate in code reviews, technical discussions, and architectural planning to uphold high standards of software quality and innovation. Identify and resolve technical challenges, debug issues in cloud environments, and continuously improve our development processes. Stay up-to-date with emerging technologies and industry best practices in AI, web development, and cloud computing. What You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is preferred [Min 1-5 years] of hands-on experience in full-stack web development, with a strong understanding of both frontend and backend technologies. Proficiency in at least one modern frontend framework (e.g., React, Vue.js) and experience with JavaScript/TypeScript. Experience with backend development using languages such as Python (preferably Flask), Java, Node.js, or similar. Familiarity with database technologies (SQL, NoSQL) and experience with designing and interacting with APIs (RESTful, GraphQL). Understanding of cloud platforms (e.g., AWS, GCP, Azure) and experience with deploying and managing applications in a cloud environment. Demonstrated passion for artificial intelligence and machine learning, with an interest in building AI-driven products. Familiarity and passion for AI tools like Cursor, Claud, Gemini, etc in software development skills. Strong problem-solving skills, attention to detail, and a commitment to delivering high-quality software. Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, agile environment. \ufeffOur Tech Stack Backend: Python, Flask, SQL, Bash Frontend: React, Redux, JavaScript, TypeScript, Webpack, NextJS, JSON Databases & Big Data: Apache Spark, Solr, MySQL Containerization: Docker Cloud: Major AWS services (Aurora, S3, Redshift, CloudFormation, SNS, SQS, etc.) AI/ML: Extensive use of AI and machine learning technologies throughout our platform. Pay Transparency Please note this role is categorized as onsite or hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role is eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zones which are determined by location. Zone A is SF Bay Area, CA . Zone A Base annual salary range: $120,750 to $161,000 + discretionary annual bonus up to `10% + pre-IPO equity (stock options). Hybrid Work At Eightfold, we believe our best work happens when we collaborate closely, learn from one another, and build together. We follow a hybrid work model that combines flexibility with a strong emphasis on in-person collaboration to foster innovation, culture, and rapid execution. Employees based near our Santa Clara, Bangalore, and Noida offices are expected to work from the office three days per week, as we believe regular in-person engagement is essential to how we build high-impact products and strong teams. Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. \ufeffExperience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. 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If you're excited to work on hard problems, move with urgency, raise the bar every day, and help build agentic systems that transform how the world works, Eightfold is the place to do it. About the AI/ML Team Our AI/ML team is the driving force behind Eightfold's cutting-edge solutions. We're a group of passionate experts who thrive on pushing the boundaries of applied machine learning. We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management. What You Will Do Lead and inspire: Mentor and guide a team of talented ML Engineers, fostering a culture of innovation and collaboration. Architect and implement: Design and build scalable, robust, and efficient ML pipelines that power our core products. Innovate and optimize: Develop novel algorithms and continuously improve our existing models for performance, accuracy, and scalability. 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Advanced skills: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, etc.), as well as experience with big data technologies (Hadoop, Spark). Strong CS fundamentals and coding languages (Python, C/C++, Hava, Scala, R) GenAI & Large Language Model: Experience in developing and deploying LLM-powered applications, Knowledge of LLM fine-tuning techniques and optimization strategies. Understanding of LLM ethical considerations and biases Nice to Haves MInimum of 6-10+ years of relevant work experience in ML and AI MS or PhD in Computer Science or a related field Publications in top-tier AI conferences Experience with GenAI, LLMs, and Transformers Contributions to open-source ML projects Join Us and Shape the Future of AI If you're a senior AI/ML engineer who's ready to make a real impact, we'd love to hear from you. 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