
Job Overview
Location
Singapore
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
February 24, 2026
Full Job Description
đź“‹ Description
- • Join Workato, a leader in enterprise orchestration, as a Senior AI Engineer specializing in Voice Agents. You will play a pivotal role in designing, developing, and optimizing cutting-edge AI and Machine Learning products that deliver unparalleled user experiences. This is an exceptional opportunity to combine robust software engineering skills with a deep understanding of machine learning systems, contributing to the creation of AI products from inception to large-scale deployment, serving millions of users.
- • You will be instrumental in building organization-aligned agents from the ground up, ensuring consistency and scalability. We are seeking passionate builders grounded in foundational AI knowledge to revolutionize agent control and data plane functionalities. Your work will directly impact the AgentX Apps, a key component of Workato's innovative platform. Dive deeper into AgentX Apps by visiting [https://docs.workato.com/en/agentic/agentx-apps.html](https://docs.workato.com/en/agentic/agentx-apps.html).
- • Design and implement sophisticated AI/ML systems, with a specific emphasis on Small Language Models (SLMs), Large Language Models (LLMs), AI Agents, and advanced Search architectures. This involves architecting solutions that are not only effective but also scalable and maintainable.
- • Develop intelligent conversational AI interfaces capable of handling multi-turn, low-latency chat and voice interactions. Your solutions will need to maintain context across extended sessions and incorporate seamless escalation protocols to human agents when complex or sensitive issues arise.
- • Construct production-grade AI pipelines essential for efficient data processing, model training, fine-tuning, and rigorous benchmarking. This includes implementing advanced techniques like dual-control and fluid models, and ensuring robust model serving capabilities at scale.
- • Implement sophisticated feedback loops and continuous learning systems. These systems will integrate customer satisfaction metrics, agent corrections, LLM evaluations, human feedback, and conversation outcomes to drive ongoing improvements in model performance. You will reinforce organizational policies by leveraging knowledge bases, conversational data, and advanced memory systems.
- • Create advanced AI-powered analytics dashboards and reporting tools. These tools will be crucial for tracking automation effectiveness, identifying bottlenecks through detailed tracing, pinpointing common customer pain points, and measuring key performance indicators such as resolution time, containment rate, and customer satisfaction scores. Your work will involve quality assurance and management to extract actionable insights from customer conversations and develop evaluation frameworks for current-generation agents.
- • Lead critical technical initiatives focused on integrating AI systems seamlessly into Workato's existing product suite and services. This requires a strategic approach to ensure smooth adoption and maximum impact.
- • Collaborate closely with talented data scientists and ML researchers to implement and productionize novel AI approaches and state-of-the-art models. This cross-functional collaboration is key to driving innovation and maintaining a competitive edge.
- • Contribute to the foundational AI knowledge within the team, fostering a culture of continuous learning and exploration of new AI paradigms. Your expertise will help shape the future direction of Workato's AI capabilities.
- • Ensure the AI systems developed are robust, reliable, and adhere to the highest standards of performance and security. This includes rigorous testing, monitoring, and optimization throughout the development lifecycle.
- • Translate complex business requirements into technical solutions, ensuring that the AI agents effectively address user needs and business objectives. This involves a deep understanding of both the technical possibilities and the practical applications of AI in an enterprise context.
- • Stay abreast of the latest advancements in AI, ML, NLP, and conversational AI, and proactively identify opportunities to incorporate these innovations into Workato's platform. Your forward-thinking approach will be vital in maintaining Workato's position as an industry leader.
- • Contribute to the architectural design and technical roadmap for AI-driven features, ensuring alignment with the company's overall strategy and product vision.
- • Mentor junior engineers and share best practices in AI/ML development, fostering a high-performing and collaborative engineering environment.
- • Work with large datasets, ensuring data quality, integrity, and efficient processing for training and inference. This includes understanding data pipelines and storage solutions.
- • Develop and maintain documentation for AI models, systems, and pipelines, ensuring knowledge transfer and maintainability. This is crucial for long-term project success and team collaboration.
Skills & Technologies
Python
Java
Go
PostgreSQL
AWS
Data Science
Senior
Remote
Degree Required
About Workato, Inc.
Workato provides low-code/no-code enterprise automation and integration software that connects applications, data, and business processes across cloud and on-premises systems. Its platform offers pre-built connectors, recipes, and AI-powered workflow orchestration for finance, HR, IT, sales, support, and marketing functions. The company enables organizations to automate tasks without extensive coding, reducing manual effort and accelerating digital transformation initiatives. Workato serves mid-market to large enterprises worldwide through a subscription-based SaaS model, emphasizing security, governance, and scalability for complex integrations.



