AI Jobs in Singapore

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The role involves defining the internal AI roadmap by partnering with Security, Legal, and business leaders, operating the enterprise AI stack including LLMs, vector databases, and gateways, enforcing consistent patterns for tool calling, prompt versioning, state management, and error handling to prevent fragmented agent implementations, and managing the full model lifecycle from evaluation and testing to upgrades and deprecations. The position includes proactively interviewing teams like Talent, Support, and Sales to identify manual workflows for automation with agentic AI, independently building and deploying proof of concepts to demonstrate ROI before scaling, owning the token procurement process, building forecasting and chargeback models to control spend, creating dashboards to track SLAs and system performance, and identifying opportunities for cost-saving and performance tuning.

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Design original computational biology problems that simulate real biology research workflows; create problems requiring Python programming to solve (using Numpy, SciPy, BioPython); ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); develop problems requiring non-trivial reasoning chains in bioinformatics, systems biology, and molecular modeling; base problems on real research challenges or practical applications from biology practice; verify solutions using Python with standard computational biology libraries; document problem statements clearly and provide verified correct answers.

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Contributors may design original computational biology problems simulating real biology research workflows; create problems requiring Python programming using libraries such as Numpy, SciPy, and BioPython; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring non-trivial reasoning in bioinformatics, systems biology, and molecular modeling; base problems on real research challenges or practical applications from biology; verify solutions using Python with standard computational biology libraries; document problem statements clearly and provide verified correct answers.

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Contributors design original computational mathematics problems simulating real mathematical research workflows. They create problems that require Python programming using libraries such as Numpy, SciPy, and Sympy for solutions, ensuring these problems are computationally intensive and cannot be solved manually within reasonable timeframes. They develop problems involving non-trivial reasoning chains in areas such as number theory, combinatorics, graph theory, and numerical analysis. Problems should be based on real research challenges or practical mathematical applications. Contributors verify solutions using Python with standard mathematical libraries and document problem statements clearly while providing verified correct answers.

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Contributors may design original computational mathematics problems that simulate real mathematical research workflows, create problems requiring Python programming to solve (using Numpy, SciPy, Sympy), ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks), develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis, base problems on real research challenges or practical applications from mathematical practice, verify solutions using Python with standard mathematical libraries, and document problem statements clearly while providing verified correct answers.

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Design and deliver production-grade AI agents that are central to Sierra's growth, ensuring they are highly performant, reliable, and scalable in production environments across industries such as finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) with complete ownership and autonomy from initial pilot through deployment and continuous iteration, building, tuning, and evolving AI agents in production and defining ADLC best practices. Partner directly with leaders at large enterprises and cutting-edge startups to understand their business challenges and build AI agents that transform operations at scale. Build the future of Sierra's platform by gathering customer feedback, prototyping new tools and features, and collaborating with research, product, and platform teams to enhance AI agent development and Sierra's product. Work on projects including designing AI agents to manage subscription churn, developing agents for complex customer interactions, creating industry-specific AI agent frameworks, facilitating design partnerships for new product initiatives, and experimenting with latest voice models for enterprise-grade integration.

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Design and deliver production-grade AI agents that are highly performant, reliable, and intuitive, driving revenue directly to Sierra's growth. Take complete ownership of the Agent Development Life Cycle (ADLC) from initial pilot through deployment and continuous iteration, including building, tuning, and evolving AI agents in production environments while defining best practices. Partner directly with leaders of large enterprises and cutting-edge startups to understand business challenges and build AI agents that transform operations at scale. Work with customers to guide the evolution of Sierra's core platform by surfacing unmet needs, prototyping new tools and features, and collaborating with research, product, and platform teams to shape the future of AI agent development and Sierra's product.

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Design and deliver production-grade AI agents that are highly performant, reliable, and intuitive, running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) with complete ownership and autonomy from pilot through deployment and continuous iteration, building, tuning, and evolving AI agents in production and defining ADLC best practices. Partner with large enterprises and startups to understand business challenges and build AI agents that transform operations at scale. Build the future of Sierra's platform by surfacing unmet needs, prototyping new tools and features, and collaborating with research, product, and platform teams to shape AI agent development and product evolution.

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As an Applied AI Engineer, you will be responsible for building and shipping AI features end-to-end, from model to system to user experience. This includes designing and iterating on prompts, tools, memory, and agent workflows, turning raw model outputs into structured and predictable behaviors, debugging issues across the full stack including model, orchestration, infrastructure, and user experience, optimizing for latency, cost, and production reliability, developing lightweight evaluation frameworks to measure real-world performance, and working closely with product and engineering teams to translate ambiguous problems into working systems. You will own problems end-to-end from shaping model behavior to building the surrounding systems to ensure reliable production performance.

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As a Senior Software Engineer on the AI Voice Agent team, you will work on real-time systems involving live audio streaming and latency optimization integrated with speech providers. You will build and improve conversation intelligence systems that manage LLM layers, including prompt construction, context management, function calling, and dialogue management to create natural, actionable phone conversations. You will develop the action framework allowing configurable API calls with branching logic and runtime execution, supporting tasks like data lookup and ticket creation during calls. You'll manage knowledge ingestion, storage, and retrieval to enhance agent memory and learning over time. You will collaborate with designers to enable customers to create, configure, test, and deploy voice agents through intuitive product experiences. Additionally, you will help develop evaluation frameworks, analytics, call quality metrics, and monitoring instrumentation, and participate in on-call rotation duties.