Job Description

• Design, develop, maintain, and optimize scalable data pipelines and integration workflows across CASETiFY’s core business systems and data platforms.
• Build and support data ingestion, transformation, validation, and delivery processes for structured and semi-structured data from multiple source systems.
• Work closely with BI, analytics, and business stakeholders to understand reporting and analytical needs and translate them into reliable data engineering solutions.
• Develop and maintain curated datasets, data models, data marts, and reusable data assets to support business intelligence, operational reporting, self-service analytics, and management dashboards.
• Support data integration across key systems such as eCommerce platforms, ERP, OMS, WMS, CRM, marketing systems, finance systems, customer operations platforms, and other enterprise applications.
• Ensure data pipelines and datasets are accurate, complete, timely, and well governed through strong engineering practices, validation controls, monitoring, and reconciliation mechanisms.
• Collaborate with product, engineering, and platform teams to ensure data solutions are scalable, secure, maintainable, and aligned with enterprise architecture and business priorities.
• Support the implementation of data quality standards, metadata management, lineage, documentation, and data governance practices.
• Monitor and troubleshoot pipeline failures, data issues, and performance bottlenecks, and drive timely resolution and continuous improvement.
• Improve engineering efficiency through automation, standardization, reusable frameworks, and best practices in data development and deployment.
• Support the enablement of AI, machine learning, and advanced analytics use cases by preparing high-quality and sustainable data foundations
• Participate in data platform enhancement, architecture discussions, release activities, and cross-functional delivery planning while maintaining clear technical documentation and operational procedures.

Requirements

• Solid hands-on experience in data engineering, ETL / ELT development, and enterprise data integration.
• Good understanding of data warehousing, data modeling, pipeline orchestration, data transformation, and data lifecycle management.
• Practical experience in building and maintaining data pipelines for analytics, reporting, and operational use cases.
• Strong SQL skills and hands-on experience with modern data platforms, cloud data environments, and related engineering tools.
• Experience working with structured and semi-structured data from multiple business systems and platforms.
• Good understanding of data quality controls, reconciliation, validation, monitoring, and troubleshooting practices.
• Experience in supporting BI and analytics use cases through curated datasets, semantic consistency, and well-structured data models.
• Familiarity with version control, automation, deployment processes, and engineering best practices in data environments.
• Good problem-solving and analytical skills with the ability to identify data issues and translate business needs into structured technical solutions.
• Able to work collaboratively with BI, analytics, engineering, product, and business stakeholders in cross-functional environments.
• Known for promoting reliability, data accuracy, structured thinking, and continuous improvement.
• At least 4-6 years of relevant working experience in data engineering, data platform development, or related roles.
• Experience in eCommerce, retail, omnichannel, supply chain, finance, or other data-intensive environments is preferred.
• Familiarity with enabling data foundations for AI, machine learning, or advanced analytics is a plus.
• Experience in multicultural and fast-paced environments is preferred.
• Happy to work in a buzzing multicultural environment, with proficient spoken and written English; Chinese is a plus.

Purpose of Position

• The Machine Learning Engineer, AI Applications will be responsible for supporting the design, development, testing, and deployment of AI-powered applications that improve business efficiency, customer experience, and decision-making across CASETiFY. The incumbent will work closely with AI engineers, data scientists, product managers, software engineers, and business stakeholders to build practical and scalable AI solutions in a fast-paced and dynamic environment.
• The incumbent is expected to bring solid technical foundations in machine learning, data processing, and software development, with strong interest in applied AI use cases such as large language model applications, intelligent automation, recommendation, classification, and predictive analytics. This role will contribute to experimentation, solution development, and continuous improvement of AI applications across the organization.

Job Description

• Support the development, testing, and deployment of AI applications for internal productivity, customer experience, and business process optimization.
• Work closely with AI engineers, data scientists, product managers, and software engineers to translate business problems into practical AI solutions.
• Assist in building and improving machine learning and AI workflows, including data preparation, feature engineering, model integration, evaluation, and monitoring.
• Contribute to AI application development using machine learning models, LLM APIs, prompt engineering, retrieval-based approaches, and related technologies where appropriate.
• Support the implementation of AI use cases such as intelligent search, chatbot or assistant experiences, recommendation, text classification, content generation, anomaly detection, and workflow automation.
• Help prepare, clean, validate, and transform data for model development, experimentation, and application integration.
• Participate in model evaluation, experiment tracking, result analysis, and continuous tuning to improve solution quality and business relevance.
• Collaborate with software engineering teams to integrate AI capabilities into enterprise systems, digital products, and internal tools.
• Support the setup of development workflows, testing approaches, and basic MLOps practices to improve reproducibility, maintainability, and deployment quality.
• Assist in monitoring model and application performance, identifying issues, and supporting troubleshooting and improvement activities.
• Document technical approaches, assumptions, findings, and implementation details to support knowledge sharing and delivery continuity.
• Stay informed on emerging AI, machine learning, and LLM trends, tools, and best practices relevant to business applications, and contribute positively to team culture through ownership, curiosity, collaboration, and continuous learning.

Requirements

• Solid foundation in machine learning, statistics, data processing, and software engineering principles.
• Hands-on experience in Python and familiarity with common ML or AI libraries and frameworks used in practical development.
• Good understanding of applied machine learning workflows including data preparation, model training, evaluation, inference, and performance tracking.
• Exposure to AI application development such as LLM-based solutions, prompt engineering, retrieval-augmented workflows, recommendation, classification, or predictive analytics is preferred.
• Familiarity with APIs, backend integration, data pipelines, and application development concepts is a plus.
• Basic understanding of cloud environments, model deployment, version control, and MLOps concepts is preferred.
• Good problem-solving and analytical skills with the ability to learn quickly and work on practical business use cases.
• Able to work collaboratively with cross-functional teams including product, engineering, data, and business stakeholders.
• Good communication skills with the ability to explain technical concepts clearly and work effectively in team environments.
• Strong sense of ownership, curiosity, and willingness to learn new tools, frameworks, and technologies.
• Known for promoting quality, collaboration, and continuous improvement.
• 2-3 years of relevant working experience in machine learning, AI engineering, data science, software engineering, or related technical roles.
• Internship or project experience in AI applications, machine learning solutions, or LLM-related work will be an advantage.
• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or related disciplines.
• Experience in e-commerce, retail, digital products, or customer-facing environments is a plus.
• Happy to work in a buzzing multicultural environment, with proficient spoken and written English; Chinese is a plus.

The opportunity:

Flexport is a platform for global trade in an industry that comprises 12% of the global GDP.  We are the first licensed freight forwarder and customs brokerage built around a modern tech stack.  We help the world's fastest-growing brands manage their international supply chains, providing a fully-managed service for moving products between any two places on the planet.

Exceptional software development is integral in allowing us to fulfill our mission of fixing the user experience in global trade. At Flexport you’ll develop products that are at the forefront of reshaping the entire logistics & supply chain industries. You’ll work alongside self-starters interested in solving real-world problems and streamlining the inefficiencies in the complex global trade industry. You’ll have the opportunity to reshape an industry by creating the new operating system for global trade.

Our engineers are top-notch software developers who love listening to the users, working as a team, and proactively taking the lead whenever necessary. The role involves learning the business of freight forwarding, modeling the work that people do to move freight, designing solutions to make it more efficient, and thinking innovatively to automate much of it. In this role, you will have an opportunity to own the design and development of key parts of our forwarding systems. You will have influence on subsystem design and help contribute to a team culture around practices that are critical to a quality product. 

About the team:

We have multiple teams in Shanghai and Shenzhen working on a suite of core products and services that enable Flexport operation to scale, including Forwarding Application, Client Application, Shipper Application, WMS, Consol Planning Tool, Document Platform (AI empowered), Email Platform, Compliance Platform, Work Assignment Engine, Exception Management, AI Copilot, Insight Builder (AI Data Analytics) and so on. 

In addition, we have a NAWS (Native AWS) team that develops infrastructure solutions for our products and services using the latest Infrastructure as Code (IaC) technology: CDKTF (Cloud Development Kit for Terraform). Our scope includes, but is not limited to, CI/CD, observability, DevX, data subsetting (TS3), IaC, template engines, and various open-source projects. Additionally, the team provides technical guidance to engineers across the organization.

We are looking for engineers who love learning, are passionate about collaborating, and desire to build solutions with a global impact.

You will:

• Build highly available, secure, distributed systems in a microservice architecture.
• Build cutting edge infrastructure solutions to help improve development experience across the company. And, work closely with other engineering teams to help them solve infrastructure related problems.
• Design, develop, test and maintain systems that represent the real-world intricacies of logistics entities, such as shipper, client, cargo, document, carrier, container, email etc.
• Collaborate with some of the best engineers in the industry to work on complex business and technical problems.
• Work closely with business partners and product managers to distill complex business problems into elegant technical solutions.
• Build and launch products rapidly and incrementally. We ship to production dozens of times per day.
• Ensure our products maintain a high-quality bar. We believe in anticipating issues by obsessing over metrics and applying key learnings from post-mortems to all our services.
• Geek out about shipping and logistics. (We do this often.)

You should have:

Basic Qualifications

• 3+ years of experience writing software, and a strong engineering background.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns (OOA/OOD)
• Knowledge of at least one programming language such as TypeScript, Ruby, C, C++, Java, or Kotlin
• Bachelor's degree in Computer Science or related technical field, or equivalent experience

Preferred Qualifications

• A love of simple, well-tested code that is easy to extend and hard to break.
• A bias for action. When you see a problem, you solve it.
• The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.
• Experience building large scale, high-performance systems in a complex, multi-tiered, distributed environment
• Understanding of performance tradeoffs, load balancing and operational issues
• Knowledge of professional software engineering practices & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations
• Experience with Infrastructure as Code (IaC) tools such as CDKTF, Terraform, AWS CloudFormation, or similar.
• Having basic concepts in AWS services, including IAM, EC2, ECS, S3, Lambda, Step Functions, EventBridge, and VPC, or equivalent services from other cloud providers.
• Familiarity with CI/CD pipelines, infrastructure automation, and monitoring/observability tools.
• Ability to troubleshoot and optimize distributed systems and cloud deployments.
• Non-optional: an aptitude for learning quickly.

Engineering Culture and Values:

• Check out our Key Values profile.

#LI-onsite

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

POSITION SUMMARY

ASM is recruiting for Field Service Engineer in our CVD/EPI/PEALD/Furnace business function. You will be

part of a team providing support / trouble shooting at client site.

As a key driver of business success, you will play a vital role in strengthening and enabling business

success through developing and improving processes run on our toolsets at customer sites.

JOB RESPONSIBILITIES

• Maintain tool uptime and ensure excellent execution of installation and support of hardware issues.
• Develop, maintain, and ensure the relevance of technical information used by internal and external stakeholders.
• Understand and build long-term innovative global technology systems that enable enhanced customer relationships.
• Ensure communication vehicles, e.g. telephone, email, and presentation, etc. are able to facilitate efficient and consistent customer follow-up.
• Drive continuous improvement of the customer experience through team, hardware, software, and support tool development.
• Drive and manage new product installs and subsequent hardware development.
• Projects manage new evaluations and ensure the success of the project.
• Additional assigned tasks when necessary.
• Business travel is required when necessary.

REQUIREMENTS

• Bachelor’s degree in Engineering discipline
• Proven success in building collaborative partnerships with customers and internal stakeholders
• Ability to work in a team environment with tight deadlines and multiple priorities
• English language fluency is required as you will be working with international clients and customers

We are currently recruiting for a Smart Logistics Platform that provides one-stop logistics solutions specifically for online stores and SMEs. By integrating e-commerce support—including warehousing, packaging, and shipping—they have pioneered a Logistics SaaS (Software as a Service) model designed to make shipping as simple and seamless as booking a hotel.

Key Responsibilities:

• Architectural Leadership: Lead the construction and optimization of front-end and back-end services for cross-border e-commerce logistics SaaS products on cloud platforms, ensuring high scalability and availability.

• Core Development: Deeply involve in requirement analysis and architectural design; write core and complex module code while guiding team members through the development lifecycle.

• API Management: Responsible for the design and optimization of RESTful APIs to ensure efficient interaction between third-party logistics services and internal systems.

• Quality Assurance: Lead the development of testing architectures and quality assurance systems, including unit testing, API testing, automated testing, and static code analysis.

• Performance Optimization: Continuously optimize product performance to enhance system response speed, stability, and concurrent processing capabilities.

• Technical Standards: Drive the implementation of technical specifications, ensure code quality meets enterprise standards, and advocate for best practices within the team.

• Mentorship: Mentor and develop junior and mid-level engineers to elevate the overall technical capability and development efficiency of the team.

• Global Collaboration: Work closely with product teams in Hong Kong and globally, participating in technical reviews and cross-regional collaboration.

Job Requirements:

• Education: Bachelor’s degree or above in Computer Science or a related field.

• Experience: 7+ years of software development experience; expert proficiency in TypeScript, Node.js, and React. Proven track record in system architecture and high-performance services.

• Cloud & Infrastructure: Deep understanding of AWS cloud services and distributed architectures; familiar with Docker, containerization, and microservices.

• Database Management: Proficient in PostgreSQL design and optimization with experience in large-scale data processing.

• Problem Solving: Excellent system design and analytical skills, with the ability to lead technical roadmaps and resolve complex technical challenges.

• Soft Skills: Strong self-learning abilities, teamwork, and communication skills; able to collaborate effectively within a multinational team.

• Industry Context: Experience in Logistics, E-commerce, or SaaS industries is highly preferred. Possess business acumen to bridge the gap between technology and business needs.

• Language: Fluency in English is preferred for seamless communication within an international team environment.

We are looking for a AI Engineer to join a Shipping SaaS Platform. This isn’t just a "prompt engineering" role—you will work at the intersection of deep mathematics and production-grade engineering to build, optimize, and scale LLM-powered systems that solve tangible problems. Reporting to manager based in the US.

What You’ll Do

• Design and ship end-to-end AI solutions powered by the latest Large Language Models.

• Use your background in mathematics and optimization to make our models faster, smarter, and more efficient.

•  Build robust pipelines for fine-tuning and evaluating models at scale.

• Rapidly prototype via prompt engineering and tuning to find the best path forward.

• Keep us at the cutting edge by integrating the latest NLP and LLM breakthroughs.

Your Technical Toolkit

• Fluency in Python and deep experience with ML frameworks like PyTorch or TensorFlow.

• A solid grasp of algorithms, data structures, and mathematical optimization (convex, gradient-based, etc.).

• Experience with vector databases, RAG, embeddings, and cloud-based API deployments.

We are seeking a seasoned Backend Engineer with deep expertise in decentralized finance (DeFi) to lead the architectural design and development of our client's high-performance DEX platform. You will be responsible for building the core components of a world-class trading environment, focusing on ultra-low latency, high concurrency, and uncompromising security.

Key Responsibilities

• Architectural Leadership: Design and develop the core server-side architecture for a Decentralized Exchange (DEX).

• Core Module Engineering: Lead the implementation of critical modules, including matching engines, order books, market data broadcasting, risk management, and clearing/settlement systems.

• Infrastructure & Connectivity: Develop and maintain high-performance trading gateways (REST/WebSocket), market data feeds, and K-line services.

• Performance Optimization: Ensure the stability and performance of high-concurrency, low-latency trading systems through rigorous JVM tuning and system-level optimizations.

• Resilience & Security: Build foundational capabilities for data persistence, comprehensive logging, automated backups, and robust disaster recovery protocols.

• Cross-Functional Collaboration: Partner closely with Smart Contract and Frontend teams to ensure seamless end-to-end integration across the entire trading lifecycle.

Required Qualifications & Skills

• Educational Background: Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field.

• Java Expertise: 8+ years of professional Java development experience, with mastery of multi-threading, concurrency models, and JVM performance tuning.

• DEX Domain Knowledge: 3+ years of direct experience in DEX/Exchange server-side development, with a deep understanding of matching, clearing, and risk control workflows.

• High-Performance Frameworks: Proven experience with LMAX Disruptor, Chronicle, or similar high-performance frameworks; familiarity with Exchange-core architectures is essential.

• Data Management: Expertise in MySQL, Redis, and MongoDB, including advanced database design, index optimization, and distributed transaction management.

• System Reliability: Deep understanding of multi-active database deployments and disaster recovery; ability to lead team-wide emergency drills.

• Messaging & Streaming: Proficiency in Kafka (consumer groups, partitioning, persistence) and real-time data processing.

• Cloud & DevOps: Hands-on experience with Docker and Kubernetes (Deployment, Service, Ingress, Monitoring); proficiency with AWS or Alibaba Cloud ecosystems (EC2/ECS, RDS, OSS).

Preferred Attributes (Bonus)

• Experience with EVM-based on-chain settlement, Oracles, and off-chain data integration.

• Familiarity with modern observability stacks, including Prometheus, Grafana, and ELK.

• Polyglot capabilities: Ability to develop stable auxiliary services in Golang or Node.js for on-chain data retrieval and analysis.

Role Summary

Ubuntu is the most widely used Linux for innovation from cloud to connected device. Our growing team of IoT field engineers help customers deliver sophisticated IoT products and services across a wide range of industries - from autonomous vehicles to refrigeration solutions.

Field engineers carry a significant responsibility - helping customers understand the range of silicon and board options, helping them deliver their unique applications, and helping them ensure the security of critical infrastructure. Our team hires software engineers with experience in the full stack of Linux from firmware to GUI. We represent Canonical and its capabilities to some of the most important companies in the world. Our customers have tremendously varied goals - from mission critical and very expensive machines to tiny and low-cost things. We aim to bring the right insights at each stage of the process and to help these customers make effective choices. Most importantly, we aim to help them deliver devices that meet their business goals, on time. 

Responsibilities include consulting, developing, demonstrating, and presenting some of the most advanced operating systems and application technologies available in the enterprise world. The role is a fast-paced, problem-solving environment and the questions require answers can be challenging yet very exciting. The right candidate must be resourceful, quick-thinking, and able to deliver on a wide variety of solutions across cloud, server, desktop and IoT technologies.

This role will support customers in China and the broader Asia-Pacific market.

Key Responsibilities and Accountabilities

• Build strategic relationships with key technology partners and customers
• Conduct yourself as a trusted technical advisor
• Apply expertise in analysing a customer's business or technical challenges and correctly map the appropriate solution
• Leverage deep knowledge of Ubuntu and related technologies to provide technical subject matter expertise to sales staff, partners, and customers for the development and implementation of complex IoT products and end-end solutions
• Work in conjunction with Canonical’s IoT and Cloud sales, delivery and business development teams to grow existing customer accounts as well as winning new customers, including the interaction with other offices in APAC (Taipei, Tokyo and Beijing).
• Develop and present technical sales collateral such as presentations, how-to guides, and technical competitive documents to project teams.
• Propose and present custom technical solutions to Canonical’s clients and partners based upon Ubuntu technologies such as Ubuntu Core, Snaps and other Canonical technologies.
• Understand and champion the technical knowledge and product skills required to meet customer requirements and close new business.
• Assist in coordinating and preparing responses to RFx documents.
• Based in Shenzhen, travel required; mix of domestic and international up to 30%.

Required Skills and Experience

• A degree in engineering, preferably computer science or software engineering
• 2 years experience in enterprise or commercial software development with Linux
• Excellent communication and presentation skills - both to customers and in support of technology and industry conferences.
• Skills in supporting complex sales cycles what involve detailed technical requirements, multiple technical stakeholders and new innovative product designs.
• Ability to interpret customer business challenges and technical issues and effectively communicate how a solution will align to their needs and requirements.
• Experience of deploying embedded and IoT solutions - from hardware, operating systems through applications and cloud services.
• Understanding of security issues in the IoT industry.
• Understanding of the Linux kernel: modules, BSPs, etc.
• Familiarity with x86 and ARM SoC architectures and vendors.
• Experience of working in verticals such as automotive, robotics, gateway, networking, industrial and digital signage.
• 5+ years of experience in technical roles with Linux, preferably Ubuntu
• Open source & Linux
• Familiarity with open source development tools and methodology.
• A strong and demonstrated grasp of Linux technologies including advanced scripting, development and Linux software packaging experience.
• Familiarity with the licenses and license compliance requirements for open source software.
• Familiarity with boot loaders and hardware-related aspects of Linux development
• Strong English and Chinese language communication skills, especially in online environments such as mailing lists and social collaboration tools
• Ability to be productive in a globally distributed team through self-discipline and self-motivation, delivering according to a schedule.
• Self-driven personality.

• Design and develop a dependable, scalable, and high-performance car rental indicative pricing and static information system.
• Collaborate with teammates to design and implement car hire/flights system.
• Continuously enhance system design and architecture to maintain simplification and high service performance.
• Establish robust design and engineering principles. And contribute to the team’s success.
• Engage in continuous learning and exploration, aiming to become a foundational member of a growing team.

• Bachelor’s degree or higher in computer science or a related technical field.
• Minimum of 1～2 years of experience in backend system development.
• Demonstrated expertise in Java or Python programming languages.
• Experienced in distributed computing and cloud computing-related technologies, including microservices, containerization technology(Docker), and cloud service platforms(AWS).
• Experienced in at least one type of relational or non-relational database. Skilled in SQL language.
• Excellent communication skills and the ability to collaborate effectively with diverse teams and individuals.
• Exceptional ability to learn quickly, comprehending domain knowledge swiftly within a short timeframe.

• Bonus points:
• Experienced in Kubernetes.
• Experienced in frontend framework development, such as React.

About Us:

We’re a fast-moving, AI-leveraged rapid prototyping lab creating innovative products in martech, fintech, web apps, websites, crypto, and more. Our developers are the backbone of our mission to build and iterate at speed, delivering solutions that blend cutting-edge tech with real-world impact.

Job Summary:

As a Software Developer, you’ll build and iterate on prototypes and MVPs across our diverse product stack. Working closely with product managers and marketing professionals, you’ll leverage AI tools and frameworks to deliver scalable, secure, and high-performance solutions in a rapid development environment.

Key Responsibilities:

• Utilize AI-driven development tools like Cursor, GitHub Copilot, Replit AI, or Tabnine to streamline coding, debugging, and iteration on prototypes.
• Develop and maintain web apps, websites, and backend systems using modern frameworks (e.g., React, Node.js, Python, etc.).
• Integrate AI/ML models into products (e.g., recommendation systems for martech, fraud detection for fintech).
• Build and test smart contracts or blockchain-based features for crypto-related projects.
• Optimize code for performance, scalability, and security in cloud environments (e.g., AWS, Azure).
• Contribute to architecture decisions and adopt best practices in an agile, iterative workflow.

Qualifications:

• Familiarity with AI-driven development tools (e.g., code generation, automated testing) is a must.
• 2+ years of software development experience, with proficiency in at least one modern stack (e.g., JavaScript, Python, Go, Rust). Fresh Graduates with relevant experience leveraging AI tooling will be considered.
• Experience with REST APIs, databases (SQL/NoSQL), and cloud platforms.
• Familiarity with AI/ML integration (e.g., TensorFlow, PyTorch, or API-based AI services).
• Knowledge of blockchain development (e.g., Solidity, Rust, Move) is a plus but not a must.
• Strong problem-solving skills and ability to thrive in a fast-paced, prototype-driven setting.
• Bonus: Experience in martech (e.g., adtech APIs), fintech (e.g., payment gateways), or crypto.

#LI-REMOTE