Toku Pte Ltd is hiring an AI Engineer to work on the design, training, and deployment of state-of-the-art generative models and intelligent systems. You will power Toku's next-generation contact center and unified communication platforms, contributing to model development, system design, and applied research in a collaborative environment.

What You'll Do

Train, fine-tune, evaluate, and deploy deep learning models, including LLMs and generative models.
Build robust, reusable ML pipelines and APIs using Python (FastAPI), integrated into scalable backend systems.
Contribute to building cloud-native AI services leveraging AWS tools such as Lambda, SageMaker, S3, and API Gateway.
Develop and maintain MLOps processes, ensuring reproducibility, automation, and monitoring of deployed models.
Collaborate with backend engineers to integrate models into production systems with APIs and event-driven workflows.
Write clean, maintainable, and well-documented code for both model training and deployment pipelines.
Monitor live models for performance degradation and data drift, and implement feedback loops where appropriate.
Contribute to prompt design, model evaluation, and performance tuning of generative models used in production.
Read and evaluate recent research papers in LLMs, generative models, and deep learning; implement promising architectures.
Drive experimentation and benchmarking of different modeling approaches (e.g., transformers, diffusion, RAG, LoRA, quantization).
Contribute to selecting tools and frameworks that align with Toku’s technical strategy in AI/ML.
Support strategic AI initiatives that enable personalization, automation, or intelligent augmentation of our platform.
Champion best practices for model reproducibility, explainability, and performance measurement.
Communicate effectively with cross-functional teams, including product, backend, frontend, and DevOps.
Share technical findings, experimental results, and research insights through documentation or internal demos.
Collaborate respectfully with peers to build AI features that are both innovative and maintainable.
Engage in cross-team collaboration, working with designers, engineers, and product stakeholders to align AI work with user needs.
Participate in team meetings, planning sessions, and brainstorming discussions.
Contribute to a positive, inclusive, and transparent engineering culture.
Demonstrate curiosity, humility, and a growth mindset in daily work.
Support a culture of experimentation and continuous improvement in AI development.

What We're Looking For

A Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, or a related field.
5+ years of experience in software development, with at least 3 years focused on AI/ML or applied deep learning.
Proven experience training and deploying LLMs or generative models in production environments.
Strong foundation in Python for AI development.
Experience with cloud platforms and tools (especially AWS).
Familiarity with modern ML frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain).
Good understanding of NLP, generative modeling, and vector-based retrieval systems.
Experience integrating ML models with backend systems via APIs.
Excellent communication and collaboration skills.
A curiosity-driven mindset and willingness to continuously learn new techniques and technologies.

Nice to Have

Working knowledge of Go or TypeScript/Node.js is a plus.

Technical Stack

Languages: Python, FastAPI, Go, TypeScript, Node.js
AI/ML: PyTorch, HuggingFace Transformers, LangChain, MLflow
Cloud & Infrastructure: AWS, Lambda, SageMaker, S3, API Gateway, Docker, Kubernetes, Airflow

Team & Environment

You will collaborate with stakeholders across the organization, including product, backend, frontend, and DevOps. Our culture is positive, inclusive, transparent, collaborative, and built on a growth mindset with a focus on experimentation and continuous improvement.