Senior Applied AI Engineer – Generative & Agentic AI

An exciting opportunity for a Senior Applied AI Engineer to join a global AI Innovation and R&D team focused on building production-ready Generative and Agentic AI systems.

This is a hands‑on engineering role for someone who enjoys shipping real AI products and working at the intersection of software engineering, agentic workflows, and applied GenAI.

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• Design, build, and own production‑grade agentic AI systems end‑to‑end
  
• Develop stateful and reliable agent workflows, including planning, tool usage, memory, and human‑in‑the‑loop controls
  
• Implement advanced retrieval and grounding techniques (hybrid search, reranking, contextual assembly)
  
• Build secure tool integrations and expose internal and external services for agent consumption
  
• Treat AI evaluation as an engineering discipline using regression testing, metrics, and release gates
  
• Implement LLMOps and AgentOps instrumentation to monitor cost, latency, quality, and system failures
  
• Optimize AI systems for performance, reliability, and cost efficiency across models and providers
  
• Build and operate backend services (Python APIs, workflow orchestration, event‑driven systems)
  
• Collaborate with data science, backend, and delivery teams to ship scalable AI solutions
  
• Contribute to reusable components, technical documentation, and applied AI innovation initiatives
  

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• 5+ years of experience in software engineering, applied ML, or applied AI
  
• Strong Python development skills with solid software engineering fundamentals
  
• Hands‑on experience building and deploying LLM‑powered applications xcfaprz in production
  
• Experience with agentic frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar
  
• Strong understanding of retrieval systems and vector databases
  
• Familiarity with agent design patterns including planning, tool use, ReAct, and multi‑agent systems
  
• Experience deploying production systems on cloud platforms (AWS, Azure, or GCP)
  
• Comfortable working with Docker, CI/CD pipelines, and production operations
  
• Strong delivery mindset with the ability to ship high‑quality AI systems