AI Engineer

Viavisolutions Open · verified Nov 1, 2026

Singapore-Techpt Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Viavisolutions. Singapore-Techpt · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering

SeniorityMid-level

LocationSingapore-Techpt

EmploymentFull-time

PostedOct 29, 2026 · 3d ago

Role brief

aimlroles summary, based on the employer's posting.

What you'll do

Prototype AI digital twins and agent-driven tools for telecom processes
Build and update working prototypes across cloud services and on-premises environments
Turn telecom specialists’ knowledge of network structures and optical systems into AI solutions
Create pipelines for varied telecom data, then check models for accuracy, clarity and ongoing performance
Link physical test equipment and monitoring tools to AI running in the cloud

What you bring

You have taken AI solutions from an initial idea through launch and can manage the full machine-learning process
You have developed generative AI applications using agent-based designs, and prepared datasets and fine-tuned LLMs
You bring strong Python skills, practical TensorFlow or PyTorch experience, and familiarity with the full MLOps process
You have worked with GenAI tools and agent frameworks such as LlamaIndex, CrewAI or another named option
A master’s degree in computer science, electrical engineering, data science or a related subject is preferred

Who this fits

This mid-level position suits an AI engineer who can build and deploy prototypes and collaborate with telecom specialists. The role is based in Singapore.

From the employer

Summary:

VIAVI Solution CTO office seeks a highly motivated AI Engineer passionate about cutting-edge artificial intelligence and telecommunications technologies. This role will focus on the rapid design, development, and deployment of AI-driven solutions, leveraging Generative AI, Large Language Models (LLMs), Agentic AI architectures, Digital twins, and open-source frameworks.

The ideal candidate brings hands-on experience in fast prototyping within native cloud environments and a working understanding of telecom and wireless systems and data analysis.As part of our innovation team, you will collaborate with CTO leadership, AI solutions architects, Data scientists, and RF and telecom engineers to deliver scalable AI for 6G digital twin solutions that address real-world challenges in the upcoming 6G telecommunications domain, including self-healing networks, automation, intelligent decision-making, customer experience enhancement, and network optimization.

Duties & Responsibilities:

Key Responsibilities:

Conduct the development and fast prototyping of AI-based Digital twin and AI solutions incorporating Agentic AI within telecom workflows.
Develop and maintain prototypes and MVPs using cloud platforms and on-prem infrastructure.
Collaborate with telecom subject matter experts to understand network architectures (6G, 5G, Open RAN, OSS/BSS systems), optical networks and translate business needs into AI solutions.
Design and implement data pipelines for telecom data, including structured and unstructured data.
Ensure best practices in model evaluation, validation, explain ability, and monitoring.
Stay current with emerging research, open-source contributions, and industry trends in AI/ML, Generative AI, and Telecom AI applications.
Develop heterogeneous systems that integrate hardware instruments and monitoring systems with cloud-based AI.

Pre-Requisites / Skills / Experience Requirements:

Required Qualifications:

Master’s degree (preferred) in Computer Science, Electrical Engineering, Data Science, or related fields.
Proven track record of successfully shipping AI solutions from concept to deployment, demonstrating the ability to own the complete lifecycle of ML development.
Demonstrable experience developing GenAI applications, including Agent-based architectures.
Strong programming skills in Python.
Hands-on experience with TensorFlow or PyTorch.
Hands-on experience curating datasets, and finetuning LLMs.
Hands-on experience with GenAI development technologies and Agentic AI frameworks (Llamaindex, CrewAI, LangChain, HuggingFace, OpenAI APIs,…).
Hands-on experience with the complete MLOps workflow, encompassing data processing, training infrastructure, and deployment infrastructure.

Preferred Skills:

Basic telecom concepts, including RF network architectures, protocols, or telecom-specific data types.
Experience with telecom network optimization, anomaly detection, or predictive analysis.
Basics of RF planning, network slicing, Open RAN, or OSS/BSS systems.
Knowledge of data engineering concepts and technologies (Kafka, Spark Streaming, etc.).
Contributions to open-source AI projects or active participation in AI communities.

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