Careers at Eightfold

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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. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. Troubleshoot and resolve complex production issues involving distributed systems, large-scale data, and integrations. Work directly with Customer Success, Solutions Engineering, and Support teams to deliver timely, high-quality resolutions. Establish best practices for observability, debugging, testing, and incident response in customer-facing systems.", "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": 68761290908, "name": "Lead Machine Learning Engineer - Agentic Models,  LLM, RAG, GenAI", "posting_name": "Lead Machine Learning Engineer - Agentic Models,  LLM, RAG, GenAI", "location": "Santa Clara, CA, USA", "locations": ["Santa Clara, CA, USA"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1778524347, "t_create": 1777920604, "ats_job_id": 68761290908, "display_job_id": 68761290908, "type": "ATS", "id_locale": "68761290908-en", "job_description": "Lead the team in: 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. 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. Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP). Understanding of agent-based modeling, reinforcement learning, and autonomous systems. Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning. 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. Excellent problem-solving and data analysis skills. Strong communication and collaboration skills. Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience. Min 5-7+ years of relevant work experience in AI, Machine Learning, and applying data science to real-world use cases. OR Strong track record of taking systems from prototype to production with a focus on scalability and reliability. Knowledge of fine-tuning strategies (QLORA, DPO) and inference optimization (vLLM, TensorRT-LLM). Research experience in agentic AI or related fields. Experience building and deploying AI agents in real-world applications. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68761290908", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68761290831, "name": "Staff Machine Learning Engineer - Agentic Models,  LLM, RAG, GenAI", "posting_name": "Staff Machine Learning Engineer - Agentic Models,  LLM, RAG, GenAI", "location": "Santa Clara, CA, USA", "locations": ["Santa Clara, CA, USA"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1778524567, "t_create": 1777920063, "ats_job_id": 68761290831, "display_job_id": 68761290831, "type": "ATS", "id_locale": "68761290831-en", "job_description": "Lead the team in: 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. 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. Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP). Understanding of agent-based modeling, reinforcement learning, and autonomous systems. Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning. 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. Excellent problem-solving and data analysis skills. Strong communication and collaboration skills. Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience. Min 6-10-+ years of relevant work experience in AI, Machine Learning, and applying data science to real-world use cases. Strong track record of taking systems from prototype to production with a focus on scalability and reliability. Knowledge of fine-tuning strategies (QLORA, DPO) and inference optimization (vLLM, TensorRT-LLM). Research experience in agentic AI or related fields. Experience building and deploying AI agents in real-world applications. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68761290831", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68760176651, "name": "Senior Engineer, DevOps", "posting_name": "Senior Engineer, DevOps", "location": "Bangalore, Karnataka, India", "locations": ["Bangalore, Karnataka, India"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1776268216, "t_create": 1772795302, "ats_job_id": 68760176651, "display_job_id": 68760176651, "type": "ATS", "id_locale": "68760176651-en", "job_description": "Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment Manage and optimize cloud infrastructure (AWS/GCP/Azure) Work on containerization and orchestration using Docker and Kubernetes Automate infrastructure provisioning using Infrastructure as Code (Terraform/CloudFormation) Monitor system performance and ensure high availability and scalability Collaborate with development teams to improve release processes and DevOps practices Implement and maintain logging, monitoring, and alerting systems Ensure security best practices across infrastructure and deployment 3-5 years of experience in DevOps Strong experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on experience with cloud platforms (AWS/GCP/Azure) Experience with Docker, Kubernetes Proficiency in scripting languages (Python or Shell ) Familiarity with Infrastructure as Code (Terraform preferred) Understanding of networking, security, and system design fundamentals Experience with microservices architecture Exposure to observability tools (Prometheus, Grafana, ELK stack) Knowledge of DevSecOps practices Experience in high-scale distributed systems", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68760176651", "isPrivate": false, "latlongs": "12.9715987,77.5945627"}, {"id": 68759943613, "name": "Manager, Agentic Systems Engineering", "posting_name": "Manager, Agentic Systems Engineering", "location": "Bangalore, Karnataka, India", "locations": ["Bangalore, Karnataka, India"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1778208649, "t_create": 1772022085, "ats_job_id": 68759943613, "display_job_id": 68759943613, "type": "ATS", "id_locale": "68759943613-en", "job_description": "Own and execute: Drive the roadmap, execution, and delivery of multiple agentic systems across support automation, QA automation, documentation generation, and cross-org workflow automation. You are accountable for shipping production-quality agents on schedule. Architect agentic systems: Design multi-agent architectures involving LLM orchestration, tool-calling, retrieval-augmented generation (RAG), structured output parsing, and human-in-the-loop approval workflows. Stay hands-on: Write and review code daily. Debug agent failures, optimize prompts and pipelines, and troubleshoot integration issues alongside your engineers. Drive reliability and quality: Move beyond \"it works in a demo.\" Own the iterative refinement of agent accuracy, hallucination detection, output validation, and safety guardrails. Define quality measurement frameworks, build observability and monitoring into every agent, and establish feedback loops that drive continuous improvement. Build for scale and security: Design agents that operate reliably at enterprise scale. Think critically about rate limiting, cost controls, data privacy, prompt injection prevention, and secure handling of sensitive information across integrations. Lead and grow the team: Manage a team of engineers in a fast-paced, agile environment. Set technical direction, remove blockers, and mentor engineers in agentic system design and production best practices. Measure what matters: Define and track KPIs for each agent \u2014 resolution accuracy, coverage, time saved, adoption \u2014 and use data to prioritize what to build next. Experience with workflow orchestration tools (n8n, LangChain, LangGraph, CrewAI, or similar). Familiarity with RAG architectures, vector databases, and semantic search. Background in support engineering or QA \u2014 understanding the pain points these agents solve. Experience integrating with Salesforce, Jira/Confluence, or Slack APIs.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68759943613", "isPrivate": false, "latlongs": "12.9715987,77.5945627"}, {"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": 1777448180, "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": 1778571074, "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. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.", "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": 68747450529, "name": "Staff Machine Learning Engineer", "posting_name": "Staff Machine Learning Engineer", "location": "Bengaluru, Karnataka, India", "locations": ["Bengaluru, Karnataka, India"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1776063021, "t_create": 1743059628, "ats_job_id": 68747450529, "display_job_id": 68747450529, "type": "ATS", "id_locale": "68747450529-en", "job_description": "About 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 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. Solve complex problems: Tackle challenging real-world problems in areas like natural language processing, recommendation systems, and predictive analytics. Stay ahead of the curve: Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and other emerging fields. Design and Development: Implement scalable solutions using LLMs, Fine-tune LLMs for specific NLP tasks, Develop and deploy LLM-powered applications What You Bring Deep expertise: Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale. Technical leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-solving mindset: Ability to analyze complex problems, think critically, and develop innovative solutions. Passion for AI: A genuine enthusiasm for pushing the boundaries of AI and its applications in the real world. 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. Eightfold.ai offers a dynamic and rewarding environment where you'll have the opportunity to work on cutting-edge projects, collaborate with world-class experts, and accelerate your career growth. Join us and help build the future of AI-powered talent intelligence. 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. Experience 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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In this critical role, you will leverage cutting-edge technologies to work on complex, high-performance distributed systems, ensuring our platform is resilient, scalable, and the foundational power for our entire product suite. What You will Own and Deliver Platform Architecture & Design: Lead the design and evolution of our core data platform architecture, focusing on building distributed and resilient systems with built-in features for auto-scaling, fault tolerance, horizontal scalability, and load balancing. Performance Engineering: Drive the scaling, optimization, and innovation of the Data Platform. This includes analyzing data processing workflows, implementing caching mechanisms, fine-tuning database queries, and proactively addressing performance bottlenecks for maximum efficiency and responsiveness. Feature Expansion & Innovation: Continuously extend the platform's capabilities by staying current with industry trends and emerging technologies. Conduct research and development for new data processing techniques and collaborate closely with stakeholders to implement features that meet evolving business and user needs. System Operations: Diagnose and resolve complex problems within our distributed systems environment and support the seamless deployment and operation of our products across various environments. Cross-Functional Collaboration: Partner with Engineering, Operations, Analytics, Marketing, and Business teams to ensure successful, end-to-end product development and delivery. Cloud Stack Management: Work across major cloud platforms, specifically AWS and Azure. What You Bring Experience: 1-3+ years of professional experience in backend development. Technical Expertise: Expertise in building and optimizing high-performance, high-throughput systems. Proficiency with core backend technologies including AWS, Python, and the Flask Framework. Strong foundational understanding of distributed system design principles. Proven experience with cloud platforms (AWS, Azure, GCP). Mindset & Skills: Excellent analytical and complex problem-solving skills, particularly with data analysis. A proactive attitude with a strong sense of ownership to rigorously chase down complex problems to the root and deliver permanent fixes. Ability to thrive in a fast-paced environment, handling context-switching effectively, and a genuine desire to solve real Customer problems. Commitment to high-quality code and a drive to ship features quickly and reliably. \ufeffPay Transparency. Please note this role is categorized as 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 determined by location. SF Bay Area, CA is in Zone A. 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