Agentic Engineering Jobs

GET https://agentic-engineering-jobs.com/api/v1/jobs?sort=newest&quot

{
  "data": [
    {
      "title": "AI Engineer",
      "companyName": "DeepLearning.AI",
      "companyLogoUrl": "https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://deeplearning.ai&size=128",
      "companyWebsite": "https://deeplearning.ai",
      "description": "<p>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of generative AI, and we’re building an education platform to train them. With a mission to empower everyone to build with AI, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future. We’re a small tech company with serious credentials, exciting challenges, and wonderful teammates.<br/>DeepLearning.AI is looking for an AI Engineer to work within our newly formed Learning Experience Lab. In this role, you will leverage your expertise in software and machine learning to help us build the future of education. A passion for education is a plus in this role. Your technical skills in software development and the AI space, and your ability to communicate and work well with a team will all be critical for this role. We are headquartered in Mountain View, California and this is an in-person in-office role.<br/>This position is open to candidates based in the United States. For U.S.-based candidates, you must either already possess or be eligible to obtain authorization to work in the U.S.</p>\n<h4>Here’s what you’ll do:</h4>\n<p>Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows.<br/>Work with a small team to quickly iterate and ship new products and features.<br/>Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility<br/>Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development.<br/>Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you.<br/>Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively.</p>\n<h4>Here are the skills you should have:</h4>\n<p>Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects.<br/>The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products.<br/>Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases.<br/>Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest.<br/>Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects.<br/>Excellent communicator and team player with strong English language skills if not a native speaker yourself.</p>\n<h4>Bonus if you have:</h4>\n<p>Background or expertise in education and / or development of educational technology.<br/>Experience in product management, user testing, and rapid iteration.</p>\n<h4>What you get working with us:</h4>\n<p>Being part of a world-class team of education and AI experts trying to change the world.<br/>Work across cultural and geographical lines alongside our offices in different parts of the world.<br/>The opportunity to be exceptionally creative with your high-impact ideas.</p>\n<h4>Our defining values:</h4>\n<p>We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.<br/>We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and people we hire.<br/>We default to action: We are comfortable acting with limited information and taking ownership of our decisions.<br/>We ask why: We ask the hard questions, and are open to being in the wrong. We advocate for the best ideas, not our ideas.<br/>We are honest and authentic: We are transparent as an organization, over-communicate to build trust and share our failures just as we do our successes.<br/>We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.<br/>At DeepLearning.AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. DeepLearning.AI believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.</p>",
      "location": "Mountain View, CA",
      "city": "Mountain View",
      "locationType": "onsite"
    },
    {
      "title": "Marketing Ops AI Agent Engineer",
      "companyName": "Saviynt",
      "companyLogoUrl": "https://t0.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=http://saviynt.com&size=128",
      "companyWebsite": "https://saviynt.com",
      "description": "<p>Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.</p>\n<p>We’re looking for a Marketing AI Agent Engineer to help build, configure, and scale AI-powered GTM workflows across Marketing, SDR, and Revenue Operations. This role will sit at the intersection of Marketing Operations, AI automation, data orchestration, and go-to-market execution.<br/>This person will help turn our AI GTM strategy into working systems. That means building and managing AI agents that can research accounts, enrich leads, score fit, monitor buying signals, support SDR outreach, improve CRM data quality, and help activate audiences across email, ads, events, and partner motions.<br/>Reporting into the Marketing Operations and AI Strategy organization, you will be a hands-on builder responsible for connecting systems, designing agent workflows, improving automation quality, and helping Marketing move from manual execution to scalable AI-assisted GTM operations.</p>\n<h4>What You’ll Drive:</h4>\n<p>AI Agent Development &amp; Workflow Automation<br/>● Build, configure, test, and optimize AI agents that support Marketing and SDR workflows across prospecting, enrichment, scoring, routing, outreach, and reporting ● Develop agentic workflows using tools such as Claude, Clay, MCP, Snowflake, Salesforce, HubSpot, Outreach, Gong, and related GTM systems ● Translate business requirements into structured AI workflows that can operate reliably, repeatably, and at scale ● Build agents that monitor key GTM signals such as job changes, hiring velocity, funding events, web intent, content engagement, and account fit ● Create workflows that reduce manual research and give SDRs better prioritized accounts, stronger contact context, and cleaner outreach hooks<br/>GTM Signal Intelligence &amp; Prospecting Automation<br/>● Help build and scale autonomous prospecting motions that identify ICP-fit accounts and contacts based on real-time buying signals ● Support ICP fitness scoring workflows that assess inbound leads, event leads, partner leads, and prospecting lists before they move into downstream systems ● Build logic that blends signal-based prospecting with broader whitespace nurture motions ● Develop workflows that help SDRs prioritize the right accounts at the right time with the right message ● Partner with Marketing, SDR, and RevOps teams to ensure AI-driven prospecting aligns with pipeline goals, territory strategy, and campaign priorities<br/>Data Orchestration &amp; System Connectivity<br/>● Connect and normalize data across Salesforce, HubSpot, Clay, Snowflake, Outreach, Gong, LinkedIn Ads, HockeyStack, and other GTM platforms ● Build structured inputs, data models, prompts, API workflows, and JSON-based logic that allow AI agents to take action with clean context ● Support audience segmentation workflows across cold, warm, and hot account/contact cohorts ● Help operationalize Snowflake and other data sources as audience and intelligence layers for AI-powered GTM activation ● Partner with Marketing Operations, RevOps, Data, and IT teams to make sure agent workflows are secure, governed, and aligned with system architecture<br/>CRM Hygiene &amp; Data Quality Agents<br/>● Build and maintain AI-powered data quality workflows that improve the accuracy of CRM and marketing data ● Support agents for employment verification, LinkedIn URL enrichment, region/location detection, account/contact enrichment, and stale data detection ● Design workflows that catch bad records before SDRs waste time on outdated contacts or inaccurate account information ● Improve the quality of downstream workflows by ensuring agent decisions are based on clean, current, and complete data ● Partner with Salesforce and HubSpot system owners to write back useful intelligence in a structured and governed way<br/>AI-Powered SDR &amp; Marketing Activation<br/>● Build workflows that support AI-generated email sequences, personalized outreach hooks, account research summaries, and meeting preparation briefs ● Help connect outbound email, LinkedIn Ads, website intent, events, and partner motions into a more unified activation model ● Support agent workflows for event and user group planning, including geographic intelligence based on pipeline, whitespace, and ICP contact density ● Partner with SDR leadership to improve rep efficiency, reduce manual research, and increase time spent on high-value conversations ● Help create feedback loops that improve messaging, scoring, segmentation, and workflow performance over time<br/>AI Governance, Testing &amp; Optimization<br/>● Test agent outputs for accuracy, consistency, brand alignment, and business usefulness ● Build repeatable QA processes for prompts, structured inputs, workflow logic, and agent-generated outputs ● Identify where human review is required versus where automation can safely run independently ● Monitor workflow performance and recommend improvements based on adoption, output quality, conversion impact, and operational efficiency ● Partner with Security, IT, and Operations teams to ensure AI workflows follow internal governance and data handling standards</p>\n<h4>WHAT YOU BRING:</h4>\n<p>Must-Have<br/>● 4+ years of experience in Marketing Operations, Revenue Operations, GTM Systems, AI Operations, Marketing Automation, or a related technical GTM role ● Hands-on experience building workflows across GTM systems such as Salesforce, HubSpot, Clay, Outreach, Gong, LinkedIn Ads, Snowflake, or similar platforms ● Strong understanding of B2B SaaS funnel motions, including lead routing, SDR workflows, campaign attribution, pipeline creation, and account-based marketing ● Experience working with AI tools such as Claude, ChatGPT, Cursor, Claygent, or similar AI workflow platforms ● Ability to build structured prompts, workflow logic, decision trees, and reusable AI instructions that produce consistent outputs ● Familiarity with APIs, webhooks, JSON, data enrichment, field mapping, and cross-system automation ● Strong understanding of CRM data structure, including leads, contacts, accounts, campaigns, opportunities, activities, and custom fields ● Ability to translate business problems into practical technical workflows without over-engineering the solution ● Strong analytical and troubleshooting mindset with the ability to diagnose workflow failures, data issues, and process gaps ● Comfortable working cross-functionally with Marketing, SDR, RevOps, Sales, Data, IT, and Security stakeholders<br/>Nice-to-Have<br/>● Experience with Claude Managed Agents, MCP, Clay, Snowflake, HockeyStack, Gong, Outreach, or similar AI-native GTM tools ● Experience building AI agents for SDR prospecting, lead enrichment, account research, CRM hygiene, or outbound personalization ● Familiarity with Python, SQL, JavaScript, or low-code automation platforms ● Experience with vector databases, RAG workflows, Pinecone, or structured knowledge retrieval ● Experience with Salesforce administration, HubSpot operations, campaign operations, or marketing automation architecture ● Experience supporting ABM, intent-based marketing, paid audience sync, or multi-channel GTM activation ● Experience in cybersecurity, identity security, enterprise SaaS, or another complex B2B selling environment ● Comfort working in a fast-moving environment where AI capabilities, tools, and internal processes are evolving quickly<br/>You’re the Type of Person Who<br/>● Thinks like a systems builder, not just a task executor ● Gets excited about turning messy manual processes into scalable AI workflows ● Understands that great AI output depends on clean data, clear instructions, and strong process design ● Can build fast, test carefully, and improve continuously ● Knows when automation should act independently and when a human needs to stay in the loop ● Is comfortable working in the gray area between business strategy and technical execution ● Brings practical ideas, not science projects ● Can explain technical concepts clearly to non-technical stakeholders ● Wants to build the operating layer for the next generation of GTM execution<br/>Why This Role Matters<br/>● You will help build the AI operating system for Marketing and SDR execution ● You will reduce manual research, improve lead quality, and help SDRs focus on the highest-value conversations ● You will improve how Saviynt captures, scores, enriches, and activates GTM signals ● You will help connect AI, data, systems, and human execution into one scalable GTM motion ● You will play a key role in moving Marketing Operations from workflow support to AI-powered revenue acceleration</p>\n<h4>If required for this role, you will:</h4>\n<ul><li>Complete security &amp; privacy literacy and awareness training during onboarding and annually thereafter</li><li>Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):</li></ul>\n<p>&gt; Data Classification, Retention &amp; Handling Policy<br/>&gt; Incident Response Policy/Procedures<br/>&gt; Business Continuity/Disaster Recovery Policy/Procedures<br/>&gt; Mobile Device Policy<br/>&gt; Account Management Policy<br/>&gt; Access Control Policy<br/>&gt; Personnel Security Policy<br/>&gt; Privacy Policy</p>\n<p>Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!</p>\n<p>Saviynt is an equal opportunity employer and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.</p>",
      "location": "Remote US",
      "city": null,
      "locationType": "remote"
    }
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