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Senior Engineer, Backend
Notability is an AI-powered note-taking tool that transforms your notes into knowledge with personalized summaries, quizzes, flashcards, and real-time transcription.
Benefits:
Competitive compensation that includes base salary, bonuses and profit sharing
Equity Awards in the form of Stock Options
Comprehensive healthcare fully covered for you and your family including medical, dental, and vision
Flexible work and vacation schedules
401k with matching contributions
Experience Requirements:
7+ years of experience
Strong computer science fundamentals and problem solving skills
A user-centric mindset
Expert proficiency with SQL, Typescript, and Node
Experience with GraphQL and/or REST
Other Requirements:
Experience with Docker, Kubernetes, and at least one major cloud service, such as AWS or GCP
Experience with pub/sub systems and streaming platforms
Experience with large-scale, reliable, and low-latency distributed systems
Excellent communication skills
Strong desire to grow and learn new things
Experience developing features that utilize LLMs such as ChatGPT, Gemini, or Claude
Experience with CRDTs
Responsibilities:
Iterate with the team on product definition and implementation with a focus on the end user's experience, scalability, and security
Specify, build, and maintain services, APIs, and features for the product
Create and support robust integration, testing, deployment, alerting, and monitoring systems
Perform code reviews and participate in design discussions
Mentor junior developers
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Software Engineer (AI Platform) - Remote
Replika is an AI companion designed to listen, talk, and offer empathetic friendship. It's eager to learn and always on your side for support.
Benefits:
Competitive salary
Flexible job schedule and generous vacation policy
Unlimited access to the latest AI coding assistants
No corporate bs
Direct impact: Your work on projects will directly impact millions of worldwide users within months
Experience Requirements:
Expertise in Python
A strong background in backend development. Experience with microservices and event-driven architectures
At ease with containerization technologies (Docker, Kubernetes), CI/CD and cloud platforms
Experience with SQL and NoSQL databases
Experience building systems that leverage LLMs
Other Requirements:
Mastery of system and software design patterns
Ability to identify problems, propose robust solutions, and execute with velocity and a sense of ownership
Hands-on, curious, and obsessed with building things that work, scale, and last
Responsibilities:
Design and build an app that delivers real-time emotional AI experiences at scale (sub-second latency for millions of requests)
Integrate with LLMs providers, run open-weights models on our GPU clusters, help fine-tune our own LLMs
Participate in design reviews, set technical direction, and ensure scalability and reliability of applied AI services
Optimize for global growth: high-availability systems, replication, cost-effective API integrations, and scalable embeddings search
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Senior Data Science Engineer
NVIDIA DGX Cloud Lepton is an AI platform connecting developers to a global network of high-performance GPU compute for seamless AI development and deployment.
Education Requirements:
B.Sc. or equivalent experience in Computer Science and Engineering
Experience Requirements:
5+ years of hands-on experience in data science - must
Other Requirements:
Expert-level proficiency in Python and its data manipulation and analysis libraries (e.g., NumPy, pandas, TensorFlow, PyTorch)
Strong background in networking concepts and protocols – Significant advantage
Proven experience in production-level software development, with a portfolio of deploying complex models and systems
Ability to lead technical projects, balance multiple priorities, and meet tight deadlines
Familiarity with network protocols, hardware, and infrastructure - Significant advantage
Exude high energy and a positive attitude
Stellar verbal and written communication skills
Passionate about data science and implementation
Have data science and GPU performance experience
Want to make what was impossible possible!
Responsibilities:
We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams
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Chip Architect
NVIDIA DGX Cloud Lepton is an AI platform connecting developers to a global network of high-performance GPU compute for seamless AI development and deployment.
Education Requirements:
BSc or MSc or equivalent experience in electrical engineering
Other Requirements:
Deep understanding of how to build and integrate systems with various technology components
Knowledge and understanding of computing and networking systems
A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment
Utmost passion for attention to details in design and a high focus on design quality
Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking
Responsibilities:
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech
Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)
Work on proof of concepts and advance development projects
Perform research and analysis for current and future architectures
Craft product design specifications
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Senior Physical Design Methodology Engineer
NVIDIA DGX Cloud Lepton is an AI platform connecting developers to a global network of high-performance GPU compute for seamless AI development and deployment.
Education Requirements:
MS in Electrical or Computer Engineering (or equivalent experience)
Experience Requirements:
Minimum 5 years experience in Physical Design Engineering
Other Requirements:
Familiar with aspects of chip design including Floor planning, Clock and Power distribution, Place and Route, Integration and Verification
Strong background with hierarchical design approach, top-down design, budgeting, timing and physical convergence
Familiar with various process related design issues including Design for Yield and Manufacturability, EM and IR closure and thermal management
You'll need to have expertise and in-depth knowledge of industry standard EDA tools
Proficiency in programming and scripting languages, such as, Perl, Python, and C++
Responsibilities:
Developing physical design methodologies for implementation of graphics processors and SOCs
Key responsibility includes developing unique and creative solutions to the state of the art physical design problems that are needed for NVIDIA chips
Participate in developing flow and tool methodologies for chip floorplan, power and clock distribution, chip assembly and P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects
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Senior Engineering Manager - Data Center Telemetry and RAS
NVIDIA DGX Cloud Lepton is an AI platform connecting developers to a global network of high-performance GPU compute for seamless AI development and deployment.
Education Requirements:
BS, MS, or PhD in EE/CS or related field (or equivalent experience)
Experience Requirements:
12+ overall years of relevant experience
5 yrs of managing systems/platform software teams, ideally in server RAS, firmware, telemetry, or data center solutions
Other Requirements:
Strong knowledge of DMTF/PLDM for OOB telemetry collection, time series databases (e.g., InfluxDB, Prometheus) and REST APIs (Redfish)
Deep understanding of Server and firmware architecture and optimization for low-latency APIs
Proven track record of delivering scalable server products and telemetry solutions
Experience with SCM (Git, Perforce) and project management tools (Jira)
Excellent written and oral communication skills, strong work ethic, and commitment to teamwork
Hands-on experience with x86/ARM system architecture and coding (C/C++, Python)
Familiarity with Confidential Compute and notification systems
Demonstrated ability to analyze algorithms for time/space complexity and system resource requirements
You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding
Experience building and scaling telemetry collection and analysis engines
Active contributor to Open Compute (OCP) and DMTF in relevant areas
Proven leadership in delivering innovative platform telemetry solutions for large-scale AI infrastructure
Responsibilities:
Lead Data Center Compute Telemetry & RAS: Own the end-to-end architecture and delivery for telemetry solutions, including fleet health monitoring, fault remediation, and data visualization at scale. Owning OOB telemetry solution and data validation for telemetry from each underlying device
Build and Mentor a World-Class Team: Recruit, develop, and motivate a high-performing engineering team focused on platform telemetry, RAS and observability
Process Optimization: Continuously improve software development processes for optimal productivity and quality
Cross-Functional Collaboration: Work across teams to ensure seamless integration of telemetry solutions with platform firmware, server architecture, and data center management
Product Ownership: Drive product life cycles with QA teams, ensuring robust testing, productization, and delivery
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Lead Software Engineer, TrueTest (Java, Python)
Katalon is an AI-powered test automation platform for the AI era. It helps teams modernize software testing, enabling faster, smarter, and more reliable quality assurance.
Benefits:
Competitive compensation and performance bonus scheme
Employee enablement, global team, trust and recognition culture
Comprehensive health plans, flexible work, generous paid leaves
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Senior Quality Engineer, TrueTest
Katalon is an AI-powered test automation platform for the AI era. It helps teams modernize software testing, enabling faster, smarter, and more reliable quality assurance.
Benefits:
Competitive compensation and performance bonus scheme
Employee enablement, global team, trust and recognition culture
Comprehensive health plans, flexible work, generous paid leaves
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Senior Software Engineer, Katalon Studio (Java, C#)
Katalon is an AI-powered test automation platform for the AI era. It helps teams modernize software testing, enabling faster, smarter, and more reliable quality assurance.
Benefits:
Competitive compensation and performance bonus scheme
Employee enablement, global team, trust and recognition culture
Comprehensive health plans, flexible work, generous paid leaves
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Senior Software Engineer, Core Platform
Casca is an AI-native Loan Origination System that helps FDIC-insured banks and lenders automate up to 90% of manual effort in business loan origination.
Benefits:
Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.
Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.
Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.
Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.
Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.
Education Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
Experience Requirements:
5+ years of software development experience, particularly in scalable backend and infrastructure systems (e.g., Rust, Node.js, Python, or Go), and modern deployment technologies like Docker, Kubernetes, and Helm.
Strong experience with major cloud platforms (AWS, Azure, GCP) and their managed services for compute, storage, and networking.
Proficiency in infrastructure as code tools (e.g., AWS CDK, Terraform, Pulumi) and CI/CD automation (e.g., GitHub Actions, Jenkins).
Experience with building observability tooling including metrics collection, distributed tracing, logging systems, and monitoring dashboards.
Experience with enterprise software features like permissions (RBAC), analytics, audit logs, notifications, self-serve onboarding, and provisioning.
Other Requirements:
Proven ability to mentor and guide technical teams.
Responsibilities:
Architect and enhance platform features including authentication, auditability, and enterprise integrations across the banking ecosystem.
Build and maintain high-performance, developer-friendly infrastructure using containerization (Docker), orchestration (Kubernetes, Helm), and cloud-native services across AWS, Azure, and GCP.
Improve reliability, scalability, and compliance for platform services like permissions management, admin reporting, and customizations
Develop and optimize infrastructure as code (AWS CDK, Terraform) and CI/CD pipelines to automate deployments, ensuring high availability, disaster recovery, and efficient resource utilization.
Collaborate with AI engineers to benchmark & integrate models into the core platform.
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Senior Forward Deployed Engineer
Casca is an AI-native Loan Origination System that helps FDIC-insured banks and lenders automate up to 90% of manual effort in business loan origination.
Benefits:
Impact & Ownership: A unique opportunity to shape the future of banking through AI, owning end-to-end product initiatives.
Collaborative Environment: Work alongside a talented and passionate team that values continuous improvement and knowledge sharing.
Competitive Compensation: Includes salary, benefits, and potential equity in a fast-growing startup.
Professional Growth: Access to resources and mentorship to expand your skill set, influence strategy, and accelerate your career.
Culture of Innovation: We encourage risk-taking, learning from failures, and pushing the boundaries of what’s possible in fintech.
Experience Requirements:
4+ years of experience in software engineering
Proven track record of translating complex technical concepts into clear business value propositions with measurable outcomes
Entrepreneurial mindset with experience driving initiatives from concept to execution
Solid understanding of modern programming languages and (AI) frameworks (e.g., Python, LangChain, Vercel AI-SDK, React, TypeScript, Next.js, etc.)
Other Requirements:
A skillset at the intersection of software development, business strategy and customer engagement
Strong problem-solving skills and a knack for innovative thinking
Excellent communication skills and a collaborative team spirit
Responsibilities:
Partner directly with customers to translate critical business requirements into technical solutions, engaging with customer executives to architect software that addresses their most pressing challenges in banking
Drive high-stakes projects with CTO-level ownership, writing production-quality code while balancing multiple technical and business priorities across architecture, coding, and strategic planning
Architect and build end-to-end systems integrating AI models, backend APIs, and web applications while owning complete technical solutions from design through production deployment
Learn and drive engineering best practices
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Senior AI Applied Engineer
ZIATOGEL is an online platform for slot games, providing a 'gacor' (high-winning) and fair play experience for users. Access online slots today!
Benefits:
Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need
Work from Anywhere: apply to work in another location for up to 3 months per calendar year.
Connection Budget: an annual budget to connect with the team IRL where and when possible.
Learning Budget: study leave and an annual budget for you to put towards your learning and development.
Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.
Experience Requirements:
Strong background in applied AI/ML, with hands-on experience in LLMs, multimodal models, embeddings, and generative tools.
Proven experience shipping real AI features to real customers.
Skilled in context engineering — designing prompts, retrieval pipelines, metadata integration, and memory/state management.
Familiar with orchestration tools like LangChain and skilled at building reliable, maintainable AI systems.
A creative problem-solver who thrives in ambiguity.
Responsibilities:
Build and ship AI-powered features that enhance our customer workflows
Use AI to improve how we work — from smarter dev tools to smoother deployments
Work across the stack, from hands-on coding to system design
Collaborate with engineers, PMs, designers, and content specialists to bring ideas to life
Share knowledge on emerging AI tech, helping the team stay ahead of the curve
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Platform Engineering Manager
ZIATOGEL is an online platform for slot games, providing a 'gacor' (high-winning) and fair play experience for users. Access online slots today!
Benefits:
Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need
Work from Anywhere: apply to work in another location for up to 3 months per calendar year.
Connection Budget: an annual budget to connect with the team IRL where and when possible.
Learning Budget: study leave and an annual budget for you to put towards your learning and development.
Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.
Experience Requirements:
Previous people management, team leadership, and mentoring experience with Platform, Infrastructure, DevOps, or SRE teams.
Master of excellent communication and stakeholder management, able to build relationships with technical and non-technical teams.
Thrive in a team-oriented, collaborative environment, ideally with experience using Agile processes.
Highly self-motivated and directed, demonstrating integrity and ethical behaviour in all interactions.
Proven ability to empower and support teams to embrace change and align resources effectively with shifting priorities.
Responsibilities:
Lead and guide the Infrastructure Platform and SRE teams, fostering a positive, collaborative, and high-performance culture.
Drive delivery by organising team work, clarifying expectations, setting clear goals, and removing roadblocks for mid-to-large scale projects.
Own, evolve, and take responsibility for our production systems, including their availability, security, and incident management.
Promote a “you build it, you run it” approach and champion the internal developer platform, focusing on self-service and developer experience.
Partner with Architects and Lead Engineers to align system architecture with the larger Envato technical ecosystem.
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Senior Data Engineer
ZIATOGEL is an online platform for slot games, providing a 'gacor' (high-winning) and fair play experience for users. Access online slots today!
Benefits:
Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need
Work from Anywhere: apply to work in another location for up to 3 months per calendar year.
Connection Budget: an annual budget to connect with the team IRL where and when possible.
Learning Budget: study leave and an annual budget for you to put towards your learning and development.
Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.
Experience Requirements:
Likely 5 years of experience in data or software engineering, with a distinct focus on infrastructure, ingestion, and orchestration.
High proficiency with Infrastructure as Code (Terraform) and cloud-native environments, specifically AWS.
Hands-on experience using Airflow for orchestration and Python for building ingestion tools and automation.
Strong comfort working with SQL in data warehouses such as Redshift or Snowflake, and familiarity with dbt.
Proven experience operating production-grade data pipelines, encompassing both managed connectors and custom-coded solutions.
Responsibilities:
Write high-quality, well-tested, and documented infrastructure code using Terraform.
Build and maintain internal tooling, Docker images, and shared utilities for data workflows using Python and SQL.
Utilise Git-based version control and CI/CD tooling (e.g., GitHub Actions, Terraform Cloud) to deliver platform changes.
Own the end-to-end data ingestion layer, using tools like Fivetran and custom Python pipelines, from source systems to the warehouse.
Configure and maintain Airflow DAGs, ensuring reliable scheduling, and contribute to the operation of cloud data warehouses like Redshift and Snowflake.
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Engineering Manager - Customer Data Management
ZIATOGEL is an online platform for slot games, providing a 'gacor' (high-winning) and fair play experience for users. Access online slots today!
Benefits:
Flexible Working: remote-first across Australia or New Zealand with flexibility for you to manage work and life as you need
Work from Anywhere: apply to work in another location for up to 3 months per calendar year.
Connection Budget: an annual budget to connect with the team IRL where and when possible.
Learning Budget: study leave and an annual budget for you to put towards your learning and development.
Home Office Allowance: a contribution towards your set-up and a monthly allowance to support work from home costs.
Experience Requirements:
Demonstrable history of successfully leading, mentoring, and scaling a high-performing engineering or data team.
Broad, hands-on experience with the implementation, architecture, and maintenance of modern CDPs (e.g., Segment, Amplitude, Hightouch, Tealium).
Deep technical knowledge of client-side and server-side tracking, tag management systems (e.g., Google Tag Manager, Tealium iQ), and analytics platforms (GA4, Amplitude, Mixpanel).
Good working knowledge of global privacy and customer tracking legislation (GDPR, CCPA) and the technical solutions required to ensure continuous compliance.
Solid grasp of core web technologies and data languages, including JavaScript, SQL, and Python fundamentals.
Responsibilities:
Define and evolve the CDM team's long-term strategy, technical roadmap, and quarterly priorities.
Define a holistic technical architecture that spans our entire customer data management space.
Lead, grow and mentor a high performing team of engineers, with plans to scale based on business needs.
Manage external vendors for critical platforms (including CDPs, tag-management systems, analytics and experimentation tools).
Ensure effective prioritisation, execution, and delivery of complex, multi-stream data projects.
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Integration Leader
Pi is an AI agent suite for logistics, empowering teams to control costs, enhance customer experience, and reduce emissions in supply chain operations.
Experience Requirements:
Proven experience working in SaaS environments with a deep understanding of integration technologies and best practices
Experience from Supply Chain or Logistics domain
Experience and knowledge of Supply Chain would be an added advantage
Other Requirements:
Exhibit excellent attention to detail, quality, and compliance
Succeed in a dynamic, changing environment, rapidly assimilating and applying new information
Ability to drive technical decisions and provide strategic guidance
Strong problem-solving, troubleshooting, and analytical skills
Excellent communication, presentation, and leadership skills
Responsibilities:
Define and execute the overall integration strategy for the company’s SaaS products.
Lead the development of integration roadmaps, ensuring alignment with business goals and technical requirements.
Collaborate with key stakeholders (Product, Engineering, Sales, and Customer Success) to identify integration opportunities that enhance customer experience and business value.
Lead, and mentor a high-performing integration team that supports technical integration, API management, and related activities.
Foster a collaborative environment, ensuring the team’s success in achieving both technical and business objectives.
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Junior Software Developer - Backend Focus
Receptor.AI is a next-generation TechBio company advancing a multiplatform ecosystem featuring advanced AI-powered platforms for small molecule and peptide design.
Benefits:
Opportunity to work on cutting-edge bioinformatics projects.
Mentorship from experienced developers.
Cross-functional exposure (backend, frontend, ML, biology, DevOps).
Professional development opportunities.
Collaborative and learning-focused environment.
Education Requirements:
Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
Experience Requirements:
1+ year of professional software development experience.
Strong programming skills in Python.
Understanding of RESTful API design principles.
Experience with version control systems (Git).
Basic knowledge of SQL and relational databases.
Other Requirements:
Good problem-solving skills and attention to detail.
Ability to work both independently and as part of a team.
Eager to learn and grow in software development.
Creative problem-solver who thinks outside the box.
Interested in the intersection of technology and biology.
Responsibilities:
Develop and maintain backend microservices using Python (FastAPI/Flask).
Work with biological data processing pipelines and proteomics workflows.
Implement RESTful APIs and integrate with various data sources.
Collaborate on database design and optimization (PostgreSQL, SQLAlchemy).
Participate in code reviews and contribute to technical documentation.
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Junior Software Developer - Frontend Focus
Receptor.AI is a next-generation TechBio company advancing a multiplatform ecosystem featuring advanced AI-powered platforms for small molecule and peptide design.
Benefits:
Cross-functional exposure (frontend, 3D visualization, scientific computing).
Professional development opportunities.
Collaborative and learning-focused environment.
Education Requirements:
Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
Experience Requirements:
1+ year of professional software development experience.
Strong programming skills in JavaScript/TypeScript.
Solid understanding of React hooks and modern React patterns.
Experience with state management solutions (Redux preferred).
Proficiency with version control systems (Git).
Other Requirements:
Good problem-solving skills and attention to detail.
Ability to work both independently and as part of a team.
Self-starter who can take features from concept to production.
Creative problem-solver who thinks outside the box.
Interested in the intersection of technology and drug discovery.
Responsibilities:
Develop and maintain frontend features using React and TypeScript.
Work with 3D molecular visualization using NGL library.
Integrate with RESTful APIs for chemical compound data.
Optimize performance for large datasets and real-time rendering.
Debug and refactor existing codebase for better maintainability.
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NLP Engineer
iPavlov is an innovative AI company specializing in natural language processing, computer vision, and big data solutions for Smart Cities, healthcare, and transport.
Benefits:
Career growth
Passion for favorite work
Responsibility
Horizontal management: fast and effective decision-making
High-class team
Education Requirements:
Higher education
Experience Requirements:
Work experience from 1 year
Other Requirements:
Knowledge of Python language and ML and data analysis libraries (Scikit-learn, Pandas, Matplotlib, Numpy, Scipy, Sklearn)
Practical experience applying basic NLP models (ngrams, skip-grams, td-idf, etc.)
Experience applying GloVe, ELMo, RNN, CNN, Transformer, BERT
Knowledge of one of the Deep Learning frameworks: Tensorflow, PyTorch
Confident user of OS Linux/Unix
Experience with virtualization technologies (Docker, etc.)
Experience with Git
Experience with SQL database management systems
Application of distributed NoSQL storage systems (MongoDB, Tarantool, Neo4J, etc.)
Responsibilities:
Participation in the full cycle of commercial product development based on NLP technologies
Task setting and creation of project specifications
Data preprocessing and preparation
Creation of software products and services
Project integration work for the client
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Frontend Engineer (React)
Tempo is an AI-powered tool for designers and developers to build React applications 10x faster using a visual editor for code and design systems.
Benefits:
The opportunity to be part of an innovative, fast-growing startup.
A collaborative, flexible, and supportive work environment.
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience Requirements:
Proven experience as a Front-End Developer or similar role, preferably in tech or startup environments.
Expertise in front-end technologies, including JavaScript, CSS, HTML, and frameworks like React.js, and tailwind.
Experience with responsive and adaptive design principles.
Other Requirements:
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork skills, with a knack for bridging the gap between technical and non-technical teams.
Maintain an online presence between the hours of 9am - 4pm EST
Responsibilities:
Design and implement robust front-end solutions for our visual IDE, optimizing for performance and scalability.
Work closely with UX/UI designers to translate design concepts into functional code.
Contribute to the development lifecycle, including coding, testing, debugging, and deployment.
Ensure high-quality graphic standards and brand consistency.
Stay updated with emerging front-end technologies and methodologies, integrating them to enhance our platform's capabilities.
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