Senior AI Engineer

Summary

Join Workato, a leader in enterprise orchestration, as a Senior AI/Machine Learning Engineer. You will design, develop, and optimize AI/ML products for exceptional user experiences, focusing on conversational AI interfaces, advanced AI/ML systems (LLMs, AI Agents, RAG), and production-grade AI pipelines. Responsibilities include building conversational AI, implementing feedback loops, creating analytics dashboards, leading technical initiatives, and collaborating with data scientists. The ideal candidate possesses strong software engineering skills and deep machine learning knowledge. Workato offers a flexible, trust-oriented culture and numerous benefits.

Requirements

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java)
• Demonstrated experience building production conversational AI systems including chatbots, virtual assistants, and automated support agents using LLMs (OpenAI, Anthropic, open-source models)
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, and conversation flow management
• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling
• Strong background in customer support metrics and KPIs including CSAT, first contact resolution, average handle time, and containment rate optimization
• Experience with sentiment analysis and emotion detection for escalation triggers and customer satisfaction monitoring
• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions
• Proficiency with contact center platforms (Zendesk, Salesforce Service Cloud, Genesys, or similar) and their API integrations
• Experience implementing real-time agent assist systems that provide suggestions, knowledge articles, and response templates during live interactions
• Familiarity with compliance and security requirements for handling sensitive customer data in automated systems (PCI, HIPAA, GDPR)
• Experience with A/B testing and experimentation frameworks for optimizing conversation flows and response strategies
• Strong communication abilities to explain technical concepts
• Collaborative mindset for cross-functional team work
• Detail-oriented with strong focus on quality
• Self-motivated and able to work independently
• Passion for solving complex search problems

Responsibilities

• Build conversational AI interfaces that handle multi-turn customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary
• Design and implement advanced AI/ML systems with a focus on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures
• Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale
• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, and conversation outcomes to improve model performance over time
• Create analytics dashboards and reporting tools to track automation effectiveness, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores
• Lead technical initiatives for AI system integration into existing products and services
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models