Experience:

• 6+ years of experience in Data Engineering, ML Engineering, or Applied AI
• Hands-on experience deploying LLM-based systems in production

Responsibilities:

• Build and deploy LLM-powered applications and agentic workflows
• Design and implement RAG pipelines, embeddings, and vector search
• Develop end-to-end ML/LLM pipelines from data ingestion to inference and monitoring
• Productionize AI systems with cost controls, observability, and guardrails
• Integrate AI solutions into enterprise workflows and platforms
• Collaborate with product, platform, and governance teams to deliver responsible AI

Nice to have:

• Experience in regulated or enterprise environments
• Exposure to AI governance, explainability, or risk controls
• Background in document intelligence or NLP-heavy systems

More skills:

LLM-powered applications, agentic workflows, vector search, ML/LLM pipelines, monitoring, cost/performance trade-offs, agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI or similar)

Other:

• Build real AI systems, not demos
• High ownership over architecture and implementation
• Work on cutting-edge agentic AI with enterprise impact
• Competitive compensation and strong growth opportunities
• Collaborative, engaging, and inclusive work environment
• Commitment to associate authenticity, safety, and value
• Use of AI-based tools in hiring process with human review for fairness and compliance
• Honesty and transparency required in application process