2,920 Python Engineer jobs in Singapore

• Conduct meetings to understand the clients' current work process, pain points, and automation requirements
• Analyse and document business processes, identify areas for optimisation and provide technical solutions
• Construct and implement the overall architecture and design across various systems and applications
• Design, build, and maintain efficient, reusable, and reliable code and automation scripts
• Create and maintain project documentations
• Perform end-to-end testing, troubleshooting and end-user support
• Work on projects and fulfil any other duties diligently as and when assigned by superior

• Degree/Diploma in Computer Science, Information Technology or other related discipline
• At least 2 to 3 years of software development experience using Python
• Familiarity with the Software Development Lifecycle
• Good programming, designing, coding, testing and debugging skills
• Strong logical approach and problem-solving skills
• Passionate about programming and pro-active in finding effective and scalable solutions
• Ability to multi-task and thrive in a fast-paced and dynamic innovation environment
• Good team player with customer centric mindset

CFB Bots Pte Ltd is a technology service provider specializing in Intelligent Automation. We partner with large enterprises in their Digital Transformation journey and help them and their employees thrive in the Future of Work. Our mission is to co-create the Digital Workforce of the Future, and our vision is to make work enjoyable. For more information, please visit

About the Role

We are expanding our operations, and are looking for a Python Engineer to join our team. You will work closely with our clients to implement Python-based RPA solutions within their organizations.

Job Description:

• Conduct meetings to understand the clients' current work process, pain points, and automation requirements
• Analyse and document business processes, identify areas for optimisation and provide technical solutions
• Construct and implement the overall architecture and design across various systems and applications
• Design, build, and maintain efficient, reusable, and reliable code and automation scripts
• Create and maintain project documentations
• Perform end-to-end testing, troubleshooting and end-user support
• Work on projects and fulfil any other duties diligently as and when assigned by superior

Requirements:

• Degree/Diploma in Computer Science, Information Technology or other related discipline
• At least 2 to 3 years of software development experience using Python
• Familiarity with the Software Development Lifecycle
• Good programming, designing, coding, testing and debugging skills
• Strong logical approach and problem-solving skills
• Passionate about programming and pro-active in finding effective and scalable solutions
• Ability to multi-task and thrive in a fast-paced and dynamic innovation environment
• Good team player with customer centric mindset

In your application, please also indicate the name of the person that you most look up to.

Job Description:

• Support the development and validation of Generative AI systems.
• The ideal candidate will work on integrating and customizing the Guardrail library to enforce safety, reliability, and compliance in GenAI outputs.
• You will also design and implement robust test and validation scripts, particularly for Retrieval-Augmented Generation (RAG) pipelines.
• Develop and maintain Python scripts for testing and validating GenAI models.
• Build the the Guardrail library to enforce output constraints and safety checks.
• Design validation frameworks for RAG-based GenAI systems.
• Collaborate with AI Governance team and product teams t
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks such as Guardrail AI, Llama Guard.etc
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Requirements:

• More than 1 year of experience on Gen AI Engineering, more than 3 years of experience on AI Engineering is preferable.
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks.
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Job Description:

• Support the development and validation of Generative AI systems.
• The ideal candidate will work on integrating and customizing the Guardrail library to enforce safety, reliability, and compliance in GenAI outputs.
• You will also design and implement robust test and validation scripts, particularly for Retrieval-Augmented Generation (RAG) pipelines.
• Develop and maintain Python scripts for testing and validating GenAI models.
• Build the the Guardrail library to enforce output constraints and safety checks.
• Design validation frameworks for RAG-based GenAI systems.
• Collaborate with AI Governance team and product teams t
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks such as Guardrail AI, Llama Guard.etc
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Requirements:

• More than 3 years of experience on Gen AI Engineering, more than 3 years of experience on AI Engineering is preferable.
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks.
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

• Conduct meetings to understand the clients' current work process, pain points, and automation requirements
• Analyse and document business processes, identify areas for optimisation and provide technical solutions
• Construct and implement the overall architecture and design across various systems and applications
• Design, build, and maintain efficient, reusable, and reliable code and automation scripts
• Create and maintain project documentations
• Perform end-to-end testing, troubleshooting and end-user support
• Work on projects and fulfil any other duties diligently as and when assigned by superior

• Degree/Diploma in Computer Science, Information Technology or other related discipline
• At least 2 to 3 years of software development experience using Python
• Familiarity with the Software Development Lifecycle
• Good programming, designing, coding, testing and debugging skills
• Strong logical approach and problem-solving skills
• Passionate about programming and pro-active in finding effective and scalable solutions
• Ability to multi-task and thrive in a fast-paced and dynamic innovation environment
• Good team player with customer centric mindset

I. Summary / Purpose of Position:
Collaborate with traders and researchers to design, develop, test, and support proprietary trading platform to capture opportunities in electronic capital markets.
II. Essential Duties & Responsibilities for this Position:
- Build and maintain robust, scalable, and low latency trading software
- Participate in collaborative discussions and problem solving with multiple stakeholders
- Help improve and evolve software design and maintenance workflows and practices
- Mentor team members and improve knowledge acquisition and sharing
III. Qualifications, Skills and Knowledge Required:
- Bachelor's degree or equivalent in a STEP/STEM field such as computer science, engineering, mathematics, or physics.
- Expert knowledge of Python
- Experience with test driven development and continuous integration
- Experience developing software for Linux
- Understanding of software design principles and algorithmic complexity
- Desire to solve complex and novel problems in a collaborative environment
- Strong sense of ownership and urgency
- Ability to communicate clearly with stakeholders
- Logical problem solver with the ability to quickly understand new and complex concepts
- Pragmatic self-starter with a flexible can-do mentality

Job Description:

• Support the development and validation of Generative AI systems.
• The ideal candidate will work on integrating and customizing the Guardrail library to enforce safety, reliability, and compliance in GenAI outputs.
• You will also design and implement robust test and validation scripts, particularly for Retrieval-Augmented Generation (RAG) pipelines.
• Develop and maintain Python scripts for testing and validating GenAI models.
• Build the the Guardrail library to enforce output constraints and safety checks.
• Design validation frameworks for RAG-based GenAI systems.
• Collaborate with AI Governance team and product teams t
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks such as Guardrail AI, Llama Guard.etc
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Requirements:

• More than 3 years of experience on Gen AI Engineering, more than 3 years of experience on AI Engineering is preferable.
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks.
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Job Description:

• Support the development and validation of Generative AI systems.
• The ideal candidate will work on integrating and customizing the Guardrail library to enforce safety, reliability, and compliance in GenAI outputs.
• You will also design and implement robust test and validation scripts, particularly for Retrieval-Augmented Generation (RAG) pipelines.
• Develop and maintain Python scripts for testing and validating GenAI models.
• Build the the Guardrail library to enforce output constraints and safety checks.
• Design validation frameworks for RAG-based GenAI systems.
• Collaborate with AI Governance team and product teams t
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks such as Guardrail AI, Llama Guard.etc
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Requirements:

• More than 1 year of experience on Gen AI Engineering, more than 3 years of experience on AI Engineering is preferable.
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks.
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Hi,

Immediate Hiring

Role Summary :

We are seeking a skilled Python Engineer to support the development and validation of Generative AI systems. The ideal candidate will work on integrating and customizing
the Guardrail library to enforce safety, reliability, and compliance in GenAI outputs. You will also design and implement robust test and validation scripts, particularly for
Retrieval-Augmented Generation (RAG) pipelines.

Key Responsibilities:
• Develop and maintain Python scripts for testing and validating GenAI models.
• Build the the Guardrail library to enforce output constraints and safety checks.
• Design validation frameworks for RAG-based GenAI systems.
• Collaborate with AI Governance team and product teams t
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks such as Guardrail AI, Llama Guard.etc
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Requirements:
• More than 1 year of experience on Gen AI Engineering, more than 3 years of experience on AI Engineering is preferable.
• Strong proficiency in Python.
• Hands-on experience with Generative AI, especially RAG architectures.
• Familiarity with LLM evaluation techniques and safety frameworks.
• Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
• Knowledge of prompt engineering and model governance is desirable.

Regards

Kshama