AI Jobs in Singapore

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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.

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Design, automate, maintain, and optimize Python ETL pipelines (Spark/Ray) for large-scale multimodal data. Build and maintain data cataloging, lineage, quality tooling, integrity verification, access controls, and lifecycle management systems. Provide guidance, internal tools, and documentation to colleagues on data best practices. Serve as a custodian of the company’s datasets, ensuring overall data health, quality, and discoverability.

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Contributors may design original computational statistics problems simulating real mathematical research workflows; create problems requiring Python programming to solve using libraries such as Numpy, SciPy, and Sympy; ensure problems are computationally intensive and not solvable manually within reasonable timeframes; develop problems requiring complex reasoning chains in areas including number theory, combinatorics, graph theory, and numerical analysis; base problems on real research challenges or practical mathematical applications; verify solutions using Python and standard mathematical libraries; and document problem statements clearly with verified correct answers.

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Develop high-quality documentation, tutorials, and sample code to enable developers to effectively understand and utilize Mistral AI's products and integrations. Contribute to the community by resolving issues, providing answers, and offering guidance to users, fostering a supportive and collaborative environment. Lead developer relations initiatives and develop programs to engage the community. Organize and participate in community events centered around Mistral AI solutions. Work closely with the AI community to develop and maintain integrations, ensuring seamless compatibility and optimal performance. Remain informed about industry trends, best practices, and emerging technologies in AI, continuously updating your knowledge and skills.

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As an AI Trainer - Junior Journalist, the work involves training AI models to improve their understanding and generation of human-like text by crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity. Responsibilities include crafting original, clear, and fact-checked responses based on project guidelines, generating prompts that challenge AI, defining comprehensive scoring criteria to evaluate the accuracy of AI's answers, and following style and quality standards to ensure consistency.

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Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value. Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into reproducible evaluations, benchmarks, and technical artifacts to improve model and product quality and influence roadmap and model development. Build repeatable tools, patterns, and evaluation approaches to raise quality across multiple use cases. Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term system improvement. Build relationships within the startup ecosystem as a technical partner to both individual customers and the broader community. Create technical presentations, demos, and community engagement events with top developers and startups.

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Contributors may design rigorous energy engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.

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Contributors may design rigorous electrical engineering problems reflecting professional practice; evaluate AI solutions for correctness, assumptions, and constraints; validate calculations or simulations using Python (NumPy, Pandas, SciPy); improve AI reasoning to align with industry-standard logic; and apply structured scoring criteria to multi-step problems.

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Contributors may design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.

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Contributors may design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.