Senior AI Agent Engineer, Brand Concierge

What you'll do

• Build and fine-tune specialized AI agents for customer experience use cases like support and lead qualification.
• Implement prompt engineering, memory handling, resource management, and tool-calling integrations.
• Develop multi-agent communication protocols and orchestrated workflows using frameworks like LangChain or AutoGen.
• Create reusable agent templates and modular components to accelerate deployment across business units.
• Track and improve performance metrics using observability tools like Arize or LangSmith.
• Implement learning workflows including human-in-the-loop feedback and automatic retraining.
• Manage agent versioning, testing pipelines, and controlled rollout processes.
• Maintain knowledge bases and perform drift detection to ensure alignment with enterprise data.

What we're looking for

• 3–5+ years of experience in AI/ML engineering, NLP systems, or backend development.
• Strong proficiency with LLM frameworks such as OpenAI APIs, LangChain, and RAG pipelines.
• Experience building conversational agents or workflow bots in production environments.
• Familiarity with cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s).
• Comfort with prompt design, vector databases, and memory handling strategies.
• Experience with multi-agent frameworks or agent orchestration systems (preferred).
• Familiarity with observability tools, data labeling workflows, or synthetic data generation (preferred).
• Background in conversational design or dialogue management systems (preferred).
• Degree in Computer Science, Data Science, Engineering, or a related field (preferred).