Experience Requirements:

• 4+ years professional experience building end-to-end systems with Node.js and Express.

• Deep expertise in React (hooks, context, performance optimization) and modern frontend tooling.

• Mastery of PostgreSQL: schema design, complex JOINs, window functions, stored procedures, and query optimization.

• Strong grasp of system design: microservices, event-driven patterns, caching strategies.

• Excellent debugging and troubleshooting skills across the full stack.

Other Requirements:

• US citizen/visa only

• Clear communicator—able to explain technical trade-offs to engineers, designers, and stakeholders.

• Bias for action—comfortable shipping quickly without compromising on stability or maintainability.

• Familiarity with Next.js, TypeScript, or GraphQL.

• Experience with containerization (Docker) and orchestration (Kubernetes).

Responsibilities:

• Deliver high-quality production code across Node.js/Express backends and React frontends in a fast-paced startup setting.

• Architect and optimize PostgreSQL databases: design schemas, write performant SQL queries, tune indexes, and ensure data integrity.

• Build and iterate on user-facing React components—state management, hooks, and custom UI—for seamless customer workflows.

• Design and implement robust RESTful and real-time APIs (WebSockets) to connect your React apps to scalable backend services.

• Collaborate with product, design, and support teams to translate customer feedback into features that drive business efficiency.

Education Requirements:

• Currently pursuing a degree in Computer Science, Machine Learning, or related field

Experience Requirements:

• Experience with ML frameworks (PyTorch, TensorFlow)

• Understanding of fundamental ML concepts and algorithms

• Strong programming skills in Python

Other Requirements:

• Strong analytical and problem-solving skills

Responsibilities:

• Developing and implementing machine learning models for our AI agent platform

• Optimizing existing ML pipelines and improving model performance

• Collaborating with the engineering team on AI/ML infrastructure

• Researching and implementing state-of-the-art ML techniques

Education Requirements:

• Currently pursuing a degree in Computer Science or related field

Experience Requirements:

• Experience with React and modern JavaScript

• Knowledge of backend development principles

• Familiarity with databases and API design

Other Requirements:

• Strong problem-solving abilities

Responsibilities:

• Developing features for our web-based AI agent platform

• Working with modern technologies including React, Node.js, and TypeScript

• Implementing responsive and accessible user interfaces

• Contributing to our backend services and APIs

Responsibilities:

• Develop scalable backend services using **Node.js** and **Golang**

• Design and implement modern, responsive UIs

• Manage and deploy infrastructure using **AWS**

• Collaborate cross-functionally to deliver high-quality features from concept to production

• Contribute to architectural decisions and technical planning

Experience Requirements:

• 7 ~ 12 years

Responsibilities:

• Design and develop the flowith's **Android platform products**

• Implement and optimize **AI features** for mobile applications

• Collaborate with product, design, and backend teams to create exceptional user experiences

• Explore and implement cutting-edge **Android technologies and frameworks**

• Conduct code reviews and performance optimizations

Responsibilities:

• Architect and implement high-performance backend systems that support our core product offerings

• Develop scalable server-side applications and RESTful API interfaces with a focus on reliability and performance

• Collaborate on technical architecture planning, including database optimization and service performance tuning

• Contribute to AI feature implementation by staying current with advances in machine learning and generative AI technologies

• Create comprehensive technical documentation, including API specifications and developer guides

Responsibilities:

• Design and develop React-based web frontend projects and AI products

• Collaborate on product development planning and implementation strategies

• Stay current with the latest advancements in ML and AIGC technologies and implement them in our products

• Create technical documentation, tutorials, blogs, and technical specifications

Responsibilities:

• Design and develop React-based web frontend projects and AI products

• Collaborate on product development planning and implementation strategies

• Stay current with the latest advancements in ML and AIGC technologies and implement them in our products

• Create technical documentation, tutorials, blogs, and technical specifications

Responsibilities:

• Lead native iOS application development using Swift, SwiftUI and other cutting-edge technologies

• Participate in product requirement analysis and feature design processes

• Develop and implement specific development plans and implementation strategies

• Collaborate with cross-functional teams to deliver high-quality iOS applications

• Contribute to the overall iOS development roadmap and technical decisions

Benefits:

• Healthcare

• Vision

• Dental

• Flexible hours

• Equity (up to 0.5%)

Experience Requirements:

• 5+ years in a DevOps, Site Reliability, or Infrastructure role

• Experience in being part of an on-call rotation

• Strong experience managing Kubernetes clusters in production

• Advanced knowledge of PostgreSQL

• Proficiency with IaC tools like Ansible

Other Requirements:

• Ability to diagnose and resolve operational issues (with tools like Grafana)

• Comfort working in a fast-paced, iterative environment

• Passion for generative AI and creativity tools (Nice to have)

• Experience with GPU-based infrastructures (Nice to have)

• Previous startup experience (Nice to have)

• Some knowledge of C# (Nice to have)

• Familiarity with AWS / GCP (Nice to have)

• Solid scripting skills (Bash, Python, etc.) (Nice to have)

Responsibilities:

• Own and evolve our infrastructure, CI/CD pipelines, and deployment processes

• Monitor and improve system reliability, availability, and performance

• Automate provisioning, scaling, and maintenance of cloud services

• Collaborate with backend and frontend teams to ensure smooth deployments

• Manage cloud cost optimization and usage monitoring. Handle incident response and root cause analysis Improve observability across our services (logs, metrics, traces). Keep our infrastructure secure and up-to-date with best practices

Benefits:

• Lunch, dinner and snacks at the office.

• Fully covered medical, dental, and vision insurance for employees.

• 401(k).

• Relocation and immigration support.

Responsibilities:

• Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge foundation models using Transformers, SSMs and hybrid models.

• Work closely with our research team and product engineers to serve our suite of products in a fast, cost-effective, and reliable manner.

• Design and build robust inference infrastructure and monitoring for our products.

Experience Requirements:

• Minimum of 3 years of experience as a Power BI Developer or similar role.

• Strong SQL skills and experience with data warehousing concepts.

• Experience with data transformation and data wrangling techniques.

Responsibilities:

• Collaborate with business stakeholders to understand their data and reporting needs.

• Maintain strong relationships with business units, ensuring alignment between technical solutions and business objectives.

• Design, develop, and maintain data warehousing solutions to support data transformation, wrangling, and storage needs.

• Utilize data transformation and wrangling techniques to clean, reshape, and prepare raw data for analysis.

• Write and optimize complex DAX calculations to provide meaningful insights from data.

Responsibilities:

• Work with the Visualization team to design, develop, and maintain data warehousing solutions supporting data transformation, wrangling, and storage needs.

• Understand and utilize data transformation and wrangling techniques to clean, reshape, and prepare raw data for analysis.

• Learn to write and optimize complex DAX calculations to provide meaningful insights from data.

• Learn to create and manage Power Query transformations to clean, transform, and shape data for reporting.

• Assist in developing interactive and visually appealing dashboards and reports using Power BI.

Experience Requirements:

• 5+ years experience with Big Data Technologies such as Spark, Kafka, Lakehosue in a customer-facing, technical architecture or consulting role.

• Experience in the field of Artificial Intelligence, with a focus on NLP, Deep-Learning, chatbots and Generative AI.

Responsibilities:

• Set-up a Gen AI Lab as a service offering for the target market and build market relevant use cases as tangible evidence of Lab’s capabilities.

• Take part in high impact content creation for marketing purposes as a Thought Leader.

• Ensure customer success by increasing focus and technical accountability to customers who need guidance to accelerate adoption of Databricks Intelligence Platform, helping them maximise the value they get from platform and the return on investment.

• Act as a subject matter expert on Generative AI capabilities, presenting to clients and internal stakeholders to showcase the value proposition and potential applications.

• Serve as the primary point of contact and thought leader for Generative AI expertise within the organisation.

Responsibilities:

• Assist in developing and refining AI models under the supervision of senior AI engineers.

• Participate in the deployment of machine learning algorithms and models into production environments.

• Support the maintenance and improvement of existing AI systems.

• Engage in data pre-processing, cleaning, and analysis to prepare datasets for model training.

• Contribute to the implementation of natural language processing, computer vision, and other AI technologies.

Benefits:

• Возможность стартануть карьеру в IT

• Вы будете работать в адекватной команде где нет «начальников» t Официальное трудоустройство по букве закона

Responsibilities:

• Выявлять потребности клиентов

• Консультировать клиентов по возникающим вопросам

• Помогать клиенту решать его задачу, окружая вниманием и заботой

• Изучать функционал бот-платформы TWIN

• Тестировать работу ботов

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications.

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications.

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Health, Dental, and Vision Insurance

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Education Requirements:

• Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.

Experience Requirements:

• Proven experience (5 years) in engineering management or a similar leadership role.

• Strong technical background.

• Excellent project management skills, with a track record of successful project delivery.

• Demonstrated ability to lead and inspire a team, fostering a positive and collaborative work environment.

Other Requirements:

• Strong communication skills, both written and verbal, in English and Portuguese.

• Problem-solving and critical-thinking skills with attention to detail.

• Familiarity with cybersecurity is a plus.

Responsibilities:

• Lead, mentor, and develop a high-performing engineering team.

• Foster a customer centric culture of collaboration and continuous improvement.

• Provide guidance and support to team members, promoting their professional growth.

• Oversee the planning, execution, and delivery of engineering projects.

• Develop project timelines, allocate resources effectively, and ensure project milestones are met.