AI Engineer

DELTA SG CONSULTING; Singapore; Vor Ort; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

Delta SG Consulting is seeking an experienced Senior AI Engineer to drive scalable, production-grade AI solutions in Singapore. You will merge AI/ML expertise with strong software engineering, focusing on microservices, multi-language development, and agentic systems.

You will build multi-agent workflows, train and optimize LLMs, and collaborate with data scientists and stakeholders to deliver production-ready AI applications while ensuring data privacy and compliance with regulations.

Qualifikationen

• 7-12 years of professional experience in AI/ML engineering with a focus on software development and deployment.
• Agentic AI experience building autonomous AI agents with tool use, reasoning, planning, and multi-step task execution.
• Proficiency in Python and Java; experience with Spring Boot and microservices frameworks.
• Deep learning frameworks such as TensorFlow or PyTorch; data processing with pandas and NumPy.
• Experience with LLMs (GPT, BERT) and frameworks like LangChain or LangGraph.
• Familiarity with cloud platforms (AWS, Azure, GCP) for deployment and data management.
• Containers (Docker, Kubernetes) and MLOps workflows; strong DevOps understanding.

Aufgaben

• Build multi-agent workflows to optimize business processes.
• Develop and maintain data pipelines for processing, model training, and deployment.
• Train, fine-tune, and optimize neural networks including LLMs for risk assessment and customer queries.
• Conduct experiments, evaluate models, and iterate to improve performance.
• Collaborate with data scientists, engineers, and stakeholders to translate requirements into production AI apps.
• Ensure models comply with data privacy, GDPR/CCPA, and ethical AI practices.
• Monitor production deployments, troubleshoot, and apply updates.
• Deliver production-grade backend services and components supporting data, workflows, automation, or AI solutions.
• Participate in code reviews, Agile ceremonies, and CI/CD processes.

Kenntnisse

Python

Java

Spring Boot

Microservices

TensorFlow

PyTorch

LLMs

LangChain

Kubernetes

Pandas/NumPy

CI/CD

Tools

Git

Docker

Kubernetes

React Next

Node.js

Jobbeschreibung

About the role:

We are seeking an experienced Senior AI Engineer to join our team and drive the development of scalable, production-grade AI solutions. The ideal candidate will combine deep expertise in artificial intelligence and machine learning with strong software engineering fundamentals, particularly in micro-services architecture and multi-language development.

Key Responsibilities:

• Build multi-agent workflows to optimize business processes..


• Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.


• Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such as risk assessment and customer query resolution.


• Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance.


• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications.


• Ensure AI models adhere to data regulations, data privacy standards (e.g., GDPR, CCPA), and ethical AI practices.


• Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.


• Strong experience delivering production-grade applications, backend services and technical components that support data, workflow, automation or AI-driven solutions.


• Participate in code reviews, agile ceremonies, and CI/CD processes.

Experience and Qualifications:

• 7-12 years of professional experience in AI/ML engineering, with a focus on software development and deployment.


• Agentic AI - Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task execution


• Programming Languages - Advanced proficiency in at least Python and Java.


• Experience with Spring Boot, microservices frameworks, and concurrent programming.


• Microservices Architecture - 5+ years of hands‑on experience designing and implementing microservices-based systems.


• Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit‑learn), etc.


• Build and integrate components for LLM, RAG, search, agent-based and automation solutions,


• Strong software engineering experience with Python, Java, React Next, Node.js, Git


• Hands‑on experience training and fine‑tuning neural network models, with a track record of optimizing for performance and scalability.


• Proven expertise working with LLMs (e.g., GPT, BERT) and building agentic solutions using frameworks like LangChain, LangGraph, or ADK.


• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.


• Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.


• Understanding DevOps practices, containerization (Docker, Kubernetes), and MLOps workflows.


• Strong communication skills for presenting technical concepts to non‑technical stakeholders.