WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

1. Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
2. Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
4. Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED 

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

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 App of the Day.

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.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Actively ship production code to the web products
• Work closely with your dedicated product team
• Participate in product discussions to shape the product roadmap
• Have the opportunity to work on new and exciting features that will impact millions of lives

An Ideal Candidate Should Have

• Experience. You've built and ship products that have scaled to thousands or millions of users
• Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

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.

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.

The opportunity:

We're seeking a highly skilled Senior QA Engineer to drive quality within our dynamic team. This role requires a strong blend of manual testing expertise and robust automation skills. You'll champion a 'shift-left' approach, embedding quality from early development stages, and act as an advocate for QA within our e-commerce environment. We value a proactive mindset, including a keen interest in innovation and leveraging modern technologies like AI to enhance testing practices.

What you’ll be doing:

You will be a tester within an Agile team, primarily focusing on testing eCommerce solutions. You will be involved in the preparation of test cases and test plans, and will be required to create and execute both manual and automated tests. You will work closely with developers and utilise CI/CD processes and tooling.

The applicant will be system testing and integration testing on new projects and regression testing as part of on-going site support for several clients.  Experience of testing RESTful services, querying databases and reviewing log file output is expected.

Key Responsibilities

• Work in a 'shift-left' approach; participate in requirements analysis, design reviews, and technical discussions to ensure testability.
• Act as a quality advocate and champion, providing insight and guidance into QA within your project team.
• Provide test estimates and contribute to project planning.
• Analyse requirements to design, document, and execute thorough test cases and Exploratory Test Charters.
• Perform extensive System Testing, System Integration Testing, and targeted exploratory testing across web applications, services, and backend systems.
• Identify, document, and track defects, collaborating with developers on root cause analysis.
• Execute and report on automated and manual test suites, analysing results and reporting quality metrics to stakeholders.
• Enhance and maintain robust test automation packs and scripts, primarily using Playwright with JavaScript/TypeScript.
• Automate E2E, API, and backend tests, integrating them into CI/CD pipelines.
• Contribute to automation reliability, maintainability, and coverage.
• Utilize strong backend testing skills, including SQL querying and server log analysis.
• Contribute to non-functional testing, such as compatibility and accessibility.

What we want from you:

• Proven track record of Quality Assurance.
• Ideally experience testing transactional e-commerce websites.
• Balance of manual testing with automation skills.
• Analytical, problem-solving, and critical thinking skills with an acute eye for detail.
• Good communication and interpersonal skills; effective collaboration across teams.
• Adaptable, organized, and effective in dynamic Agile environments.
• Experience in Playwright (or similar) with JavaScript/TypeScript for test automation.
• Solid understanding and practical experience with CI/CD tools.
• Proficiency in API testing.
• Knowledge of web technologies (HTML, CSS, JavaScript) and web application testing.
• Familiarity with Agile methodologies.
• Experience with AI tooling and an eagerness to explore more in this area.

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-APAC #LI-HYBRID

WHO YOU ARE

You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.

WHAT YOU'LL DO

1. Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
2. Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
3. Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
4. Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
5. Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
6. Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.

WHAT YOU'LL NEED 

Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN

Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning

NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch

API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger

Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs

GOOD TO HAVE

Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure

TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js

MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD

Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes

We’re ideally looking for someone who is comfortable across the entire stack and can take ownership of feature delivery from design to deployment. The ideal candidate should have:

• 5+ years of experience with Python and FastAPI (async programming)
• Experience with Redis caching patterns and cache invalidation strategies
• Experience with event-driven architectures (Pub/Sub, SNS/SQS, or similar message brokers)
• Familiarity with SQLAlchemy ORM and relational database patterns
• Experience writing comprehensive test suites (pytest, integration testing)
• Comfortable with REST API design and microservices communication patterns
• Experience with AI-assisted development tools (Cursor, Copilot, Claude Code)
• Experience with Git and CI/CD pipelines

Nice to Have

• Experience with Strapi CMS or similar headless CMS platforms
• Experience with both GCP and AWS cloud services
• Familiarity with i18n patterns (locale handling, translation key management)
• Experience in Java and typescript

Responsibilities:
○ Design and develop new software applications from scratch
○ Work with developers and other teams across the company to build new features and tools.
○ Add new product features using NodeJS language.
○ Write code which is micro services complaint and can be reused.
○ Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
○ Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
○ Test and debug code, Monitor and troubleshoot production issues
○ Collaborate with experts in product, design, and operations.
○ Proactive and prompt analysis and identification of functional bugs and performance issues

Requirements:
○ Enjoy being a generalist, working on both the frontend, backend, and everything in between to tackle problems and delight customers.
○ Thinking about tools and services, and writing high quality code.
○ We write code using NodeJs, React and other languages like javascript, typescript, Python, shell scripts, AWS cloud services.
○ We use productivity enhancement tools like copilot, cursor etc.
○ Strong knowledge of Databases (either NoSql or RDBMS), DynamoDB and postgres preferred.
○ Rest API development
○ Unit testing of REST API and server side components on NodeJS
○ Working on CI/CD pipeline.
○ Server caching optimisations using memcache, etc
○ Authentication mechanisms like SAML SSO, MFA, etc
○ If you have worked on Integrations across various systems using APIs or messages that experience will be good to have.
○ Taking pride in working on projects to successful completion, involving a wide variety of technologies and systems.
○ Putting yourself in the shoes of your users, and creating an intuitive, delightful experience.
○ You should have understanding around Security for Web Applications and backend processes. Security is very important for us.
○ Holding yourself and others to a high bar when working with production systems.
○ Stitching many different services and processes together, even if you have not worked with them before.
○ Strong understanding of front-end and back-end technologies
○ Experience working in an agile development environment

Experience
○ 3-5 years experience in the IT/Technology industry.
○ 3+ years of experience in NodeJs
○ 3+ years of experience in NoSql / RDBMS, DynamoDB and postgres preferred.
○ 2+ years of experience in working on code version source control tools like Git
○ Experience in sonarqube, use of copilot or similar productivity enhancement tools

Engineering at Enboarder:
○ We work in an environment where it matters to make the right design decisions the first time, and as a result, take on less technical debt.
○ We roll out code to production every 2 weeks.
○ We’re big fans of micro services architecture and are moving a lot of products towards micro services.
○ We like to experiment with new features and do not see failures as bad, but building blocks for future features.
○ We use AWS as our Infrastructure and continually improve. We provide ample opportunities to learn and use new AWS features.
○ Product is a highly collaborative initiative across multiple teams. Engineers are expected to understand and have product input, designing systems towards our long-term product vision.
○ Our customers are fine with fewer features, but are not ok with broken features.
○ People have a strong sense of ownership and accountability for what they’re building.
○ What we build today will be the foundation for other systems in the future.
○ We are very frank on discussing technical matters. If one disagrees with how things are being done, we encourage them to speak up and help us get to the truth faster.

*NOTE:* Hybrid work with 3 days in office.

Responsibilities:
○ Design and develop new software applications from scratch
○ Work with developers and other teams across the company to build new features and tools.
○ Add new product features using Python language.
○ Write code which is micro services complaint and can be reused.
○ Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
○ Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
○ Test and debug code, Monitor and troubleshoot production issues
○ Collaborate with experts in product, design, and operations.
○ Proactive and prompt analysis and identification of functional bugs and performance issues

Requirements:
○ Enjoy being a generalist, working on both the frontend, backend, and everything in between to tackle problems and delight customers.
○ Thinking about tools and services, and writing high quality code.
○ We write code using Python, React and other languages like javascript, typescript, nodejs, shell scripts, AWS cloud services.
○ We use productivity enhancement tools like copilot, cursor etc.
○ Strong knowledge of Databases (either NoSql or RDBMS), DynamoDB and postgres preferred.
○ Strong experience with REST API development, Flask API, and JSON handling.
○ Hands-on experience with Python frameworks or libraries (any of the following is a plus): PySpark, Pandas, NumPy, asyncio, etc.
○ Exposure to ML / GenAI workflows is a strong advantage (model integration, vector DBs, embeddings pipelines, etc.)
○ Unit testing of REST API and server side components on Python
○ Working on CI/CD pipeline.
○ Server caching optimisations using memcache, etc
○ Authentication mechanisms like SAML SSO, MFA, etc
○ If you have worked on Integrations across various systems using APIs or messages that experience will be good to have.
○ Taking pride in working on projects to successful completion, involving a wide variety of technologies and systems.
○ Putting yourself in the shoes of your users, and creating an intuitive, delightful experience.
○ You should have understanding around Security for Web Applications and backend processes. Security is very important for us.
○ Holding yourself and others to a high bar when working with production systems.
○ Stitching many different services and processes together, even if you have not worked with them before.
○ Strong understanding of front-end and back-end technologies
○ Experience working in an agile development environment
○ Knowledge of nodejs is nice-to-have, however not a must.

Experience
○ 4-7 years experience in the IT/Technology industry.
○ 4+ years of experience in Python
○ 3+ years of experience in NoSql / RDBMS, DynamoDB and postgres preferred.
○ 3+ years of experience in working on code version source control tools like Git
○ Experience in sonarqube, use of copilot or similar productivity enhancement tools

Engineering at Enboarder:
○ We work in an environment where it matters to make the right design decisions the first time, and as a result, take on less technical debt.
○ We roll out code to production every 2 weeks.
○ We’re big fans of micro services architecture and are moving a lot of products towards micro services.
○ We like to experiment with new features and do not see failures as bad, but building blocks for future features.
○ We use AWS as our Infrastructure and continually improve. We provide ample opportunities to learn and use new AWS features.
○ Product is a highly collaborative initiative across multiple teams. Engineers are expected to understand and have product input, designing systems towards our long-term product vision.
○ Our customers are fine with fewer features, but are not ok with broken features.
○ People have a strong sense of ownership and accountability for what they’re building.
○ What we build today will be the foundation for other systems in the future.
○ We are very frank on discussing technical matters. If one disagrees with how things are being done, we encourage them to speak up and help us get to the truth faster.

*NOTE:* Hybrid work with 3 days in office.