Dataiku - Generative AI Engineer
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Requirements
• Technical Proficiency • Must have strong Python skills (including familiarity with typical data science and AI engineering libraries). • Must have hands-on experience building agentic AI systems, multi-agent orchestration, tool chaining, autonomous decision-making, and production deployment of AI agents. • Experience with Go-to-Market motions, nomenclature, and technology, including Salesforce, HubSpot, 6sense, Gong, Outreach, and related tools. • Experience with modern agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, or similar); familiarity with LangChain is still relevant but not sufficient on its own. • Understanding of RAG architectures (vector databases, embedding strategies, agentic RAG, GraphRAG) and when to apply each approach. • Familiarity with MCP (Model Context Protocol) for agent-to-tool integration, or demonstrated ability to quickly adopt new integration standards. • Experience with structured outputs, function/tool calling, and prompt engineering across multiple LLM providers. • Web development fundamentals (HTML, CSS, JavaScript); experience with Vue.js and Node.js preferred. • Exposure to AI evaluation practices, building evals, monitoring model/agent performance in production, and iterating based on metrics. • Comfort with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, or similar). • Familiarity with Dataiku a bonus. • Strong communication and presentation skills, capable of collaborating effectively with both technical and non-technical stakeholders. • Problem-solving mindset with a passion for innovation and delivering measurable business value. • Openness to learning new tools (e.g., Dataiku) and adapting to a rapidly evolving AI landscape.
Benefits
• The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. • Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. • $160,000—$240,000 USD • What are you waiting for! • At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
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