AI Engineer (Strategic Solutions)

Borr Drilling; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

A leading company specializing in AI solutions seeks an AI Engineer to design, develop, and deploy cutting-edge AI systems. The successful candidate will play a critical role in internal initiatives and client projects, utilizing advanced frameworks and collaborating with multidisciplinary teams. Ideal applicants will have a strong background in AI development, teamwork, and strategic problem-solving.

Qualifications

• Familiarity with AI systems and models, experience with cloud services is advantageous.
• Strong communication skills and ability to work in cross-functional teams.

Responsibilities

• Design, fine-tune, and deploy large language models and multimodal systems.
• Develop APIs and automation scripts to integrate AI functionalities into workflows.
• Collaborate with teams to translate strategies into actionable technical plans.

Skills

Python

AI Model Development

Analytical Skills

Problem-Solving

Education

Bachelor’s or Master’s degree in Computer Science

Related field (e.g., Data Science, Machine Learning)

Tools

PyTorch

TensorFlow

LangChain

FastAPI

Docker

AWS

GCP

Job description

About 3echo:

3echo is a cross-disciplinary AI solutions and strategy agency committed to transforming ideation into scalable, actionable implementation with precision, speed, and clarity. We build AI systems and frameworks that unlock operational leverage, strategic insight, and scalable monetization for internal initiatives and clients.

As we expand, we seek to deepen our capacity to design, build, and deploy AI-driven solutions across a range of sectors and domains, reinforcing our commitment to delivering practical, high-impact outcomes through advanced technology.

Position Overview:

The AI Engineer will be responsible for the design, development, and deployment of advanced AI systems that support 3echo’s internal initiatives and client-facing projects. This position requires a combination of technical proficiency, strategic insight, and executional rigor to translate complex business objectives into effective AI implementations.

The successful candidate will work collaboratively with leadership and multidisciplinary teams to architect, prototype, and operationalize AI-powered tools and systems aligned with 3echo’s standards of excellence.

Key Responsibilities:

AI Model Development and Deployment

• Design, fine-tune, and deploy large language models and multimodal systems for applications including automation, data synthesis, and content generation.
• Develop robust pipelines for prompt engineering, retrieval-augmented generation, embeddings, and fine-tuning.
• Utilize frameworks such as PyTorch, TensorFlow, and LangChain for effective model development.

Solution Architecture and Strategic Application

• Collaborate with stakeholders to define use cases, refine requirements, and architect AI systems aligned with organizational goals.
• Translate strategic objectives into actionable technical plans, delivering results through rapid prototyping and iteration.

Integration and Automation

• Develop and maintain APIs, automation scripts, and deployment pipelines to integrate AI capabilities into operational workflows.
• Implement effective monitoring and maintenance processes to ensure reliability and performance in production.

Research and Innovation

• Stay informed on advancements in AI and machine learning, identifying opportunities to enhance 3echo’s capabilities.
• Evaluate emerging tools, libraries, and models to strengthen the technical stack.

Cross-Functional Collaboration

• Work closely with strategy, design, and development teams to deliver cohesive AI solutions.
• Provide technical guidance during project planning and execution to align expectations and feasibility.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. A degree or coursework in Artificial Intelligence is preferred and considered a plus.
• Proficiency in Python and familiarity with libraries and frameworks such as PyTorch, TensorFlow, and LangChain.
• Experience with large language models, vector databases (e.g., Pinecone, FAISS, Chroma), and retrieval-augmented generation.
• Understanding of prompt engineering, fine-tuning methodologies, and model evaluation.
• Familiarity with deploying models into production environments using FastAPI, Docker, and cloud services (AWS, GCP, or equivalent).
• Strong analytical and problem-solving abilities with a structured approach to complex challenges.
• Excellent written and verbal communication skills.

Preferred Qualifications:

• Experience with reinforcement learning or advanced agent architectures.
• Familiarity with AI agent development and orchestration frameworks.
• Experience with data pipelines and workflow orchestration tools.
• Basic frontend or low-code prototyping capabilities for demonstrating AI tools.
• Knowledge of data privacy and security best practices within AI systems.