3,795 Python Engineer jobs in Singapore

Job Description:
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
• 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, Nemo Guardrails, Llama Guard.etc

Requirements:
• Strong proficiency in Python.
• Hands-on experience in Generative AI and software engineering.
• Client-facing experience
• Availability within 2 weeks
• 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.

Join to apply for the Python Engineer role at Hudson River Trading

Join to apply for the Python Engineer role at Hudson River Trading

Get AI-powered advice on this job and more exclusive features.

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth!

At HRT, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

HRT’s two main programming languages are C++ and Python. We use C++ for anything latency-sensitive that sits on the critical trading path, and we use Python for everything else. With Python, we monitor live trading, build our distributed computing platform, process large amounts of data, and write all of our internal tools.

As a Python Engineer at HRT, you’ll have an incredible opportunity to work in cutting-edge distributed compute environments at one of the top algorithmic trading companies in the world. You’ll collaborate with researchers and engineers to build high-impact products, help HRT tackle exciting new initiatives, and streamline every part of the trade cycle.

Responsibilities

• Help us develop software that reaches every office and department at HRT while using the latest technologies and techniques in Python and software engineering to drive improvements to our systems, new and old
• HRT has many high-impact areas where we use Python; here’s what you could work on as a Python Engineer here:
• Improving job orchestration and scheduling in our huge compute cluster
• Building Python tooling and environments for all developers at HRT
• Deploying, automating, and monitoring systems for global trade management and post-trade analysis
• Building systems for hardware verification and tooling
• Writing software that supports data ETL pipelines covering all types of inputs, from market data to image and text processing
  

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase
• Ability to look at code, figure out how it works, and identify how to make it better
• You really like to work with people who challenge you and make you better at what you do
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer-related — you'll find like-minded people here
  
  

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Deep Python experience is required, daily use of most recent standards preferred
• Advanced knowledge of the Python ecosystem, including best practices
• Superior design, debugging, and problem solving skills
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance
• Industries Capital Markets

Referrals increase your chances of interviewing at Hudson River Trading by 2x

Get notified about new Python Developer jobs in Singapore .

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Join to apply for the
Python Engineer
role at
Hudson River Trading
Join to apply for the
Python Engineer
role at
Hudson River Trading
Get AI-powered advice on this job and more exclusive features.
Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth!
At HRT, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.
HRT’s two main programming languages are C++ and Python. We use C++ for anything latency-sensitive that sits on the critical trading path, and we use Python for everything else. With Python, we monitor live trading, build our distributed computing platform, process large amounts of data, and write all of our internal tools.
As a Python Engineer at HRT, you’ll have an incredible opportunity to work in cutting-edge distributed compute environments at one of the top algorithmic trading companies in the world. You’ll collaborate with researchers and engineers to build high-impact products, help HRT tackle exciting new initiatives, and streamline every part of the trade cycle.
Responsibilities
Help us develop software that reaches every office and department at HRT while using the latest technologies and techniques in Python and software engineering to drive improvements to our systems, new and old
HRT has many high-impact areas where we use Python; here’s what you could work on as a Python Engineer here:
Improving job orchestration and scheduling in our huge compute cluster
Building Python tooling and environments for all developers at HRT
Deploying, automating, and monitoring systems for global trade management and post-trade analysis
Building systems for hardware verification and tooling
Writing software that supports data ETL pipelines covering all types of inputs, from market data to image and text processing
Profile
You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs
Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase
Ability to look at code, figure out how it works, and identify how to make it better
You really like to work with people who challenge you and make you better at what you do
In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer-related — you'll find like-minded people here
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, or a related field
Deep Python experience is required, daily use of most recent standards preferred
Advanced knowledge of the Python ecosystem, including best practices
Superior design, debugging, and problem solving skills
Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Finance
Industries Capital Markets
Referrals increase your chances of interviewing at Hudson River Trading by 2x
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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 Life Cycle
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.
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Job Title: Python / Data Engineer – Quantitative Investment Support

Location: Onsite – Singapore

Employment Type: Contract

Experience Required: 4–8 years

About the Role

We are looking for a highly skilled Python/Data Engineer with strong experience in data manipulation, statistics, and machine learning models to support our Quantitative Investment team . The ideal candidate should be comfortable working with dataframes, DuckDB (or similar technologies) , and have a good foundation in quantitative analysis. This role involves building, maintaining, and optimizing data pipelines and providing analytical support for investment research.

Key Responsibilities

• Build, optimize, and maintain data pipelines and workflows for quantitative investment strategies.
• Perform data manipulation, cleaning, and transformation using Python (Pandas, Polars, DuckDB).
• Work closely with quantitative researchers and investment professionals to provide high-quality datasets and analytical tools.
• Support the development and validation of statistical and ML models for investment decision-making.
• Ensure data quality, accuracy, and reliability across multiple data sources.
• Collaborate with stakeholders to translate investment requirements into technical solutions .
• Automate data extraction, feature engineering, and reporting tasks to improve research efficiency.
• Contribute to performance monitoring and backtesting frameworks for quantitative models.

Required Skills & Qualifications

• Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field .
• 4–8 years of hands-on experience in Python programming with strong knowledge of dataframes (Pandas/Polars) and DuckDB/SQL .
• Strong understanding of statistics, probability, and ML models (regression, classification, time series).
• Experience working with financial datasets and supporting quantitative research is preferred.
• Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).
• Good understanding of data structures, algorithms, and performance optimization .
• Strong problem-solving and analytical skills.
• Exposure to quantitative finance, portfolio optimization, or risk modeling .
• Experience with cloud platforms (AWS/Azure/GCP) for data engineering.
• Familiarity with big data technologies (Spark, Dask, PyArrow).
• Knowledge of backtesting frameworks and financial modeling tools .
• Experience in DevOps/CI-CD for data workflows .
• Ability to work in a fast-paced, research-driven environment .
• Strong communication skills to collaborate with quants, data scientists, and portfolio managers .
• Detail-oriented with a focus on data quality and reproducibility .

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto's website ( )

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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
• 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 Type: Contract

Contract length: 12 months

Pay: $7, $8,000.00 per month

Work Location: In person

Join Us in Making Cities Greener and More Sustainable

Are you passionate about using technology to combat climate change and enhance urban living? At greehill, we’re looking for an Algorithm Engineer - Sensor Data Processing to help us shape the future of sustainable cities. Join our mission to make urban environments around the world greener, healthier, and more resilient.

Who We Are

greehill is a global leader in nature-based smart-city solutions, driven by a passion for sustainability and innovation. We harness advanced technologies like remote sensing and machine learning to transform urban green spaces. Our cloud-based platform empowers cities to improve citizen well-being while reducing operational costs, using data from LiDAR scanners and camera systems to create digital twins of urban trees. With offices in Budapest, Berlin, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.

As an Algorithm Engineer - Sensor Data Processing at greehill, you will play a pivotal role in developing innovative algorithms to extract valuable insights from diverse sensor data sources, including LiDAR, images, and satellite imagery. Your work will directly contribute to creating accurate digital representations of urban trees and green spaces, supporting our mission to enhance urban sustainability.

Key Responsibilities

• Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery, extracting meaningful information about urban trees and environments.
• Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features.
• Develop techniques for preprocessing raw sensor data, including noise filtering, sampling, and quantization, to ensure data quality and usability.
• Optimize algorithms for performance and scalability to handle large, complex datasets efficiently.
• Integrate data from multiple sensor types to enhance the accuracy and detail of digital representations.
• Contribute to the continuous improvement of our data processing tools, methods, and pipelines.
• Stay informed about advancements in sensor data processing, computer vision, and geospatial analysis to bring fresh ideas to the team.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Programming Skills: Strong proficiency in Python, with experience using libraries such as numpy, pandas, open3d, and opencv for data processing and analysis.
• Algorithmic Expertise: Solid foundation in algorithms and data structures, with a focus on solving complex, real-world problems.
• Sensor Data Experience: Practical knowledge of processing sensor data (e.g., LiDAR point clouds, image data).
• Computer Vision: Familiarity with computer vision techniques, such as feature detection, segmentation, or 3D reconstruction, applied to real-world data.
• Critical Thinking: Strong problem-solving skills, attention to detail, and a creative approach to tackling technical challenges.
• Teamwork: Ability to collaborate effectively with multidisciplinary teams, including engineers and machine learning specialists.
• Communication: Excellent skills in conveying technical concepts clearly and concisely.

Preferred Qualifications

• Experience with geospatial data processing and tools (e.g., GDAL, rasterio) for handling satellite imagery or remote sensing data.
• Knowledge of mapping techniques, such as structure from motion or SLAM (Simultaneous Localization and Mapping), for spatial data analysis.
• Familiarity with clustering methods (e.g., HDBSCAN, DBSCAN) or similar techniques for segmenting and analyzing sensor data.
• Understanding of data structures like graphs and trees for representing complex spatial information.
• Exposure to machine learning tools (e.g., sklearn, pytorch) is a plus, though not the focus of this role.
• Experience optimizing algorithms for computational efficiency and scalability.

Why Join Us?

At greehill, we’re assembling a team of curious, purpose-driven, out-of-the-box thinkers eager to tackle a high-impact mission. You’ll help shape the future of cities worldwide, making them more sustainable and resilient, with the chance to see the tangible impact of your contributions in urban environments.

We’re looking for high-performing experts who embrace ownership with a can-do attitude and a self-starter mentality. You’ll thrive in our collaborative, innovative team, addressing complex challenges and redefining what’s possible. Your initiative and fresh perspectives will drive real change.

We seek individuals who strive for excellence and are committed to bringing their best every day. You’ll be surrounded by a passionate team that shares your dedication to making a difference, offering a dynamic environment where your efforts matter.

If you’re ready to contribute to a mission that counts and collaborate with driven professionals, join us at greehill.

Please note, our office attendance is high, with employees working on-site four days a week.

We appreciate the interest of all job seekers in our organization. However, please note that at this time, we are unable to consider applications from outside of Hungary, who require a work permit for this position. We thank you for your understanding and encourage you to explore other opportunities with greehill in the future.

Join Us in Making Cities Greener and More Sustainable
Are you passionate about using technology to combat climate change and enhance urban living? At greehill, we’re looking for an Algorithm Engineer - Sensor Data Processing to help us shape the future of sustainable cities. Join our mission to make urban environments around the world greener, healthier, and more resilient.
Who We Are
greehill is a global leader in nature-based smart-city solutions, driven by a passion for sustainability and innovation. We harness advanced technologies like remote sensing and machine learning to transform urban green spaces. Our cloud-based platform empowers cities to improve citizen well-being while reducing operational costs, using data from LiDAR scanners and camera systems to create digital twins of urban trees. With offices in Budapest, Berlin, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.
As an Algorithm Engineer - Sensor Data Processing at greehill, you will play a pivotal role in developing innovative algorithms to extract valuable insights from diverse sensor data sources, including LiDAR, images, and satellite imagery. Your work will directly contribute to creating accurate digital representations of urban trees and green spaces, supporting our mission to enhance urban sustainability.
Key Responsibilities
Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery, extracting meaningful information about urban trees and environments.
Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features.
Develop techniques for preprocessing raw sensor data, including noise filtering, sampling, and quantization, to ensure data quality and usability.
Optimize algorithms for performance and scalability to handle large, complex datasets efficiently.
Integrate data from multiple sensor types to enhance the accuracy and detail of digital representations.
Contribute to the continuous improvement of our data processing tools, methods, and pipelines.
Stay informed about advancements in sensor data processing, computer vision, and geospatial analysis to bring fresh ideas to the team.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
Programming Skills: Strong proficiency in Python, with experience using libraries such as numpy, pandas, open3d, and opencv for data processing and analysis.
Algorithmic Expertise: Solid foundation in algorithms and data structures, with a focus on solving complex, real-world problems.
Sensor Data Experience: Practical knowledge of processing sensor data (e.g., LiDAR point clouds, image data).
Computer Vision: Familiarity with computer vision techniques, such as feature detection, segmentation, or 3D reconstruction, applied to real-world data.
Critical Thinking: Strong problem-solving skills, attention to detail, and a creative approach to tackling technical challenges.
Teamwork: Ability to collaborate effectively with multidisciplinary teams, including engineers and machine learning specialists.
Communication: Excellent skills in conveying technical concepts clearly and concisely.
Preferred Qualifications
Experience with geospatial data processing and tools (e.g., GDAL, rasterio) for handling satellite imagery or remote sensing data.
Knowledge of mapping techniques, such as structure from motion or SLAM (Simultaneous Localization and Mapping), for spatial data analysis.
Familiarity with clustering methods (e.g., HDBSCAN, DBSCAN) or similar techniques for segmenting and analyzing sensor data.
Understanding of data structures like graphs and trees for representing complex spatial information.
Exposure to machine learning tools (e.g., sklearn, pytorch) is a plus, though not the focus of this role.
Experience optimizing algorithms for computational efficiency and scalability.
Why Join Us?
At greehill, we’re assembling a team of curious, purpose-driven, out-of-the-box thinkers eager to tackle a high-impact mission. You’ll help shape the future of cities worldwide, making them more sustainable and resilient, with the chance to see the tangible impact of your contributions in urban environments.
We’re looking for high-performing experts who embrace ownership with a can-do attitude and a self-starter mentality. You’ll thrive in our collaborative, innovative team, addressing complex challenges and redefining what’s possible. Your initiative and fresh perspectives will drive real change.
We seek individuals who strive for excellence and are committed to bringing their best every day. You’ll be surrounded by a passionate team that shares your dedication to making a difference, offering a dynamic environment where your efforts matter.
If you’re ready to contribute to a mission that counts and collaborate with driven professionals, join us at greehill.
Please note, our office attendance is high, with employees
working on-site four days a week.
We appreciate the interest of all job seekers in our organization. However, please note that at this time, we are unable to consider applications from outside of Hungary, who require a work permit for this position. We thank you for your understanding and encourage you to explore other opportunities with greehill in the future.
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Responsibilities

1.Architect backend MCP services to enable seamless context exchange between browsers and LLMs.

2.Implement secure multi-tenant gateways with dynamic API key routing, request-level caching, and adaptive throughput control.

3.Develop a unified tool invocation layer exposing JSON-RPC interfaces and integrating with Chromium extensions.

4.Collaborate with frontend and browser teams to ensure ultra-low-latency MCP signaling(<100 ms) and support 10K+ QPS scalability.

5.Evolve MCP specifications aligned with open-source developments and maintain backward compatibility.

Requirements

1.3+ years of experience delivering Python backend systems, proficient in asyncio, FastAPI, pydantic, and high-performance libraries.

2.Strong background in distributed caching (e.g., Redis Streams), messaging systems(Kafka, Pulsar), and PostgreSQL tuning.

3.Hands-on expertise in authorization/authentication protocols (OAuth 2.0, JWT, SAML) and multi-tenant isolation strategies.

4.Skilled in container orchestration and CI/CD practices using Docker and Kubernetes.

5.Demonstrated ability to interpret and implement English-language technical documentation and community contributions.

Preferred Qualifications

1.Contributions to MCP or related official repositories.

2.Experience with Chromium Extension / Native Messaging, WebSocket, and Chrome DevTools Protocol.

3.Experience building Agent backend systems (e.g., AutoGPT, Copilot, ChatGPT Plugin).

4.Familiarity with LLM inference acceleration (vLLM, TensorRT-LLM) or prompt caching optimization.