Precision Talent

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Hire Overseas: Customer Support Specialist (AI SaaS Platform)

Headquarters: South Africa

We’re looking for a Customer Support Specialist who can deliver fast, thoughtful, and technically informed support for users of a growing AI voice automation platform. You’ll handle inbound questions, troubleshoot issues, guide developers and non-technical users, and help shape a smooth end-to-end customer experience.

If you enjoy solving problems, communicating clearly, and working inside a product-focused, fast-moving AI environment, this role will fit you well.

Why You’ll Want to Join

  • Paid in USD (bi-monthly: 15th and 30th)
  • Up to 14 days of Paid Time Off annually (starting Day 1)
  • Observance of Holidays per company guidelines
  • 100% remote setup so you can work wherever you feel most productive
  • Work inside a forward-thinking AI startup backed by top investors
  • Opportunity to support a platform at the forefront of voice automation and AI workflows

What You’ll Work On

Customer Support Across Channels

  • Manage and respond to inbound support requests through email and internal tools
  • Provide clear, empathetic, and accurate responses to technical and non-technical users
  • Troubleshoot platform issues by reviewing logs, referencing documentation, and reproducing customer scenarios
  • Escalate complex or urgent issues to product and engineering teams
  • Support real-time inquiries inside community spaces such as Discord

Documentation and Insights

  • Identify recurring questions, bugs, and product gaps and document them clearly
  • Contribute updates to help center articles, troubleshooting guides, and internal documentation
  • Provide structured feedback to cross-functional teams on customer sentiment and platform usability

Internal Collaboration

  • Work with engineering, product, and operations teams to close support loops
  • Share insights that improve onboarding, documentation, and user experience
  • Help refine internal support systems, workflows, and templates

What You Bring

  • 1 to 3 years of experience in customer support, ideally within SaaS or technical environments
  • Strong written English with a clear, concise, and customer-centered communication style
  • Ability to manage multiple tickets or conversations without losing accuracy
  • Comfortable using tools such as Plain, Intercom, Zendesk, or similar support systems
  • Tech-curious and able to learn APIs, integrations, or workflow systems quickly

Nice to have

  • Experience supporting developer tools, AI products, or community-based support environments

How to Apply

Please submit:

  1. Your updated resume
  2. A short 1–2 minute Loom video introducing yourself and describing your experience supporting SaaS or technical products

Only candidates who submit a Loom video will be considered.

If you’re motivated by helping users succeed, enjoy technical problem-solving, and want to contribute to a rapidly developing AI ecosystem, this role gives you the opportunity to grow alongside a product and team pushing the boundaries of what voice automation can do.

Application Process Overview

Our comprehensive selection process ensures we find the right fit for both you and our clients:

  1. Initial Application – Submit your application and complete our prequalifying questions
  2. Video Introduction – Record an video introduction to showcase your communication skills and work experience
  3. Role-Specific Assessment – Complete a homework assignment tailored to the position (if applicable)
  4. Recruitment Interview – Initial screening with our talent team
  5. Executive Interview – Meet with senior leadership to discuss role alignment
  6. Client Interview – Final interview with the client team you’d be supporting
  7. Background & Reference Check – Professional reference verification
  8. Job Offer – Successful candidates receive a formal offer to join the team

Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We’ll keep you informed throughout the process and provide feedback at each step.

To apply: https://weworkremotely.com/remote-jobs/hire-overseas-customer-support-specialist-ai-saas-platform

Deblock: Senior FinCrime Product Owner

Headquarters: Poland

We want to revolutionise how money moves between fiat and crypto to unlock the numerous possibilities that Web3 offers. We need a creative and innovative Senior FinCrime Product Owner to design and implement a robust and innovative financial crime and fraud product to protect our users, eliminate bad actors, and propel forward the ecosystem. In this role, you’ll be expected to build out Deblock’s FinCrime platform by setting out the product strategy, owning the roadmap for delivery, and hiring the team to deliver it.

We’re looking for someone who can see what’s broken in the financial crime industry, someone who has a burning itch to fix it, and someone who can build a better solution from the ground up. If financial crime seems like an eminently fixable problem to you, this is the role for you. We want to revolutionise the FinTech industry. Create a new paradigm. And we need the best minds to do it

What we are looking for:

  • Experience building products to prevent and detect financial crime and fraud
  • Experience working in a high-growth start-up or fintech 2+ years of experience working on technical products (such as platforms, distributed systems, data science, machine learning, computer vision, embedded systems, robotics etc.)
  • Experience developing product(s) from zero to first release and beyond

What will make you stand out:

  • Professional qualification from an internationally recognised body (e.g. ICA, ACAMS)
  • Deep knowledge of the UK and EU regulatory environment and key financial crime regimes
  • Experience working with crypto compliance tools (e.g. Chainalysis, Elliptic)
  • Strong data analytics capability to extract insights from large datasets and translate them into product strategy and decision-making
  • Competitive salary + stock options
  • Private dental + health insurance
  • The best tech for your job
  • 30 days of paid holidays (excl. bank holidays)
  • Option to work 100% remotely or come to the office – your choice!
  • Ability to work abroad for 4 months a year

To apply: https://weworkremotely.com/remote-jobs/deblock-senior-fincrime-product-owner

Helix Recruit: PT Bilingual Software Engineer | $35-$55/hr

Headquarters: Remote

URL: https://t.mercor.com/3UKvr

Mercor is seeking experienced Bilingual Software Engineers to support high-quality content across a range of AI training initiatives. This role involves creating image-based coding training examples — finding relevant images, writing prompts, and crafting ideal model responses — in both English and your native language.

They are looking for people who demonstrate strong programming ability across multiple languages, clear technical communication in two languages, and a meticulous eye for detail. This role requires consistent engagement and reliability over time.

Languages they are hiring for: Arabic, Portuguese, Spanish, Korean, French, Chinese, and Russian.

2. Key Responsibilities

  • Create high-quality training examples consisting of an image, a code-related prompt, and an ideal response
  • Write, debug, and explain code based on visual inputs such as screenshots, error tracebacks, architecture diagrams, flowcharts, and UI mockups
  • Generate working code from visual specifications including wireframes, UML diagrams, and system design sketches
  • Identify and fix bugs shown in code screenshots and terminal output
  • Write prompts and responses that sound natural and fluent in your native language — not translated from English
  • Produce clean, well-commented code with proper error handling inside fenced, language-tagged code blocks
  • Follow style guides, system prompts, and formatting requirements with precision
  • Source appropriate images (code screenshots, terminal output, error tracebacks, architecture diagrams, flowcharts, UI mockups) that meet project quality standards

3. Ideal Qualifications

  • Bachelor’s degree (or higher) in Computer Science, Software Engineering, or a closely related field
  • Bilingual proficiency in English and one of the following languages: Arabic, Portuguese, Spanish, Korean, French, Chinese, or Russian (native-level proficiency in at least one required)
  • Proficiency in one or more popular programming languages (Python, JavaScript, Java, C, C++, HTML/CSS, or equivalent)
  • Demonstrated professional or academic experience writing, reviewing, and debugging code
  • Ability to read and interpret system architecture diagrams, flowcharts, and UI mockups
  • Strong ability to explain technical concepts clearly in written form across both languages
  • Extremely high attention to detail and ability to catch subtle bugs and logic errors
  • Ability to work independently while maintaining consistent quality standards
  • Reliable availability and consistent engagement

4. More About the Opportunity

  • Minimum commitment: 20 hours per week
  • Ongoing, consistent engagement expected
  • Work involves creating and refining high-volume code-related content in a multilingual context

5. Application Process

  • Submit your resume highlighting relevant software engineering and language experience
  • Complete the attached required interview and assessment
  • We aim to follow up within a few days with next steps

To apply: https://weworkremotely.com/remote-jobs/helix-recruit-pt-bilingual-software-engineer-35-55-hr

Moxie: Staff product engineer (fullstack) (IC-4)

Headquarters: Remote – US

At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we’ve grown from an idea to a global, remote-first team of more than 140 people, supporting hundreds of practices nationwide.

Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey.

Staff product engineer (fullstack)

Remote, Full-time
Location: Fully Remote (Work from Home)
Working hours: Core overlap with 9 AM – 5 PM EST (flexible schedules between 7 AM – 8 PM EST)

About Moxie

Moxie empowers aesthetic industry professionals to become successful entrepreneurs. We provide a sophisticated SaaS platform that simplifies the operational complexities of running MedSpas, enabling nurses and medical professionals to launch, operate, and grow their businesses across the country.

Hundreds of customers rely on Moxie Suite to run their MedSpas end-to-end: scheduling, medical purchasing, payments and invoicing, bookkeeping, analytics, and more. Our platform is built primarily in TypeScript and Python, using React, Next.js, GraphQL, Django, and AWS, and integrates with vendors like Stripe, Twilio, Datadog, Meta, and others.

We are a well-funded, fast-growing company and are building a team of engineers who care deeply about product quality, system design, and long-term scalability.

The Role

We are looking for a Staff product engineer (fullstack) to serve as a senior technical leader across the Moxie platform. This is a high-impact, hands-on role focused on architectural ownership, cross-team technical leadership, and execution of complex, business-critical initiatives.

This role is intentionally flexible in where ensure depth:

  • You should bring deep expertise in at least one half of the stack (frontend or backend)

  • You should also have working experience across the full stack, enabling effective collaboration, design, and execution end to end

  • Candidates with deep expertise across both frontend and backend are a strong plus, but not required

You will work across frontend and backend systems, partner closely with product and engineering leadership, and help scale both our technology and our engineering organization. While this role does not have direct people management responsibilities, it carries significant influence over technical direction, standards, and best practices.

Key Responsibilities

Technical Leadership & Architecture

  • Own and evolve major parts of Moxie’s frontend and backend architecture, balancing short-term delivery with long-term scalability, reliability, and developer velocity.

  • Lead technical design and architectural reviews for complex, cross-cutting initiatives.

  • Identify systemic risks and technical bottlenecks, and proactively drive solutions that improve platform stability and performance.

  • Help define and maintain engineering standards, patterns, and best practices across teams.

Fullstack Development

  • Act as a hands-on technical leader, working on the highest-impact and highest-complexity problems across the stack.

  • Drive architecture and implementation primarily in your area of deep expertise (frontend or backend), while contributing meaningfully across the full stack as needed.

  • Design and implement performant, scalable frontend experiences using React, TypeScript, GraphQL, and Next.js.

  • Build and evolve backend systems in Python and Django, integrating with internal services and third-party vendors.

  • Ensure systems are observable, reliable, and operable in production.

Cross-Team Collaboration

  • Partner with product, design, and engineering leadership to translate business goals into clear technical strategies and execution plans.

  • Drive alignment across teams on shared abstractions, APIs, and platform-level initiatives.

  • Serve as a trusted technical advisor, helping teams make sound tradeoffs under real-world constraints.

Mentorship & Engineering Excellence

  • Mentor and coach engineers at multiple levels, helping them grow in system design, technical judgment, and ownership.

  • Raise the technical bar through thoughtful code reviews, design feedback, and knowledge sharing.

  • Contribute to a culture of high-quality execution, continuous improvement, and accountability.

Qualifications

Required

  • 8+ years of experience building and scaling complex software systems with meaningful ownership of production systems.

  • Deep expertise in at least one of the following:

    • Frontend: React, TypeScript, GraphQL, Next.js, and frontend architecture at scale

    • Backend: Python, Django, API design, data modeling, and backend architecture at scale

  • Working proficiency across the full stack, with the ability to contribute, review, and design beyond your primary area of expertise.

  • Proven track record of owning and driving large technical initiatives from concept through production.

  • Experience operating systems in production, including deployments, incident response, and performance monitoring.

  • Strong analytical and systems-thinking skills, with the ability to reason about tradeoffs and long-term impact.

  • Excellent written and verbal communication skills in English (C1 or higher).

Nice to Have

  • Deep expertise across both frontend and backend

  • Experience with Hasura

  • Experience with Vercel

  • Experience with AWS

  • Experience working in regulated or compliance-sensitive domains (e.g., healthcare, fintech)

Our Stack

  • Frontend: React, TypeScript, Next.js

  • API: REST, GraphQL, Hasura

  • Backend: Python, Django

  • Data: PostgreSQL

  • Hosting & Testing: Vercel, AWS

  • CI/CD: GitHub Actions

  • Version Control: Git, GitHub

  • AI / LLM Tooling: Claude Code, Gemini, Cursor, CodeRabbit, Glean, Codex

At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day.

We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.

To apply: https://weworkremotely.com/remote-jobs/moxie-staff-product-engineer-fullstack-ic-4

Using projects in ChatGPT

Learn how to use orojects in ChatGPT to organize chats, files, and instructions, manage ongoing work, and collaborate more effectively.

Analyzing data with ChatGPT

Learn how to analyze data with ChatGPT by exploring datasets, generating insights, creating visualizations, and turning findings into actionable decisions.

Using skills

Learn how to create and use ChatGPT skills to build reusable workflows, automate recurring tasks, and ensure consistent, high-quality outputs.

Prompting fundamentals

Learn prompting fundamentals and how to write clear, effective prompts to get better, more useful responses from ChatGPT.

Toptal: Senior Java Developer (Microservices)

Headquarters: Remote

URL: https://www.toptal.com/

About the Client

Our client is one of the world’s most recognized food and beverage producers, known for its iconic global brands and commitment to quality.

 

Role: Senior Java Developer (Microservices)

We are seeking a highly skilled Senior Java Developer with proven expertise in Microservices to join a dynamic team supporting multiple development initiatives and projects.

 

Responsibilities

 

  • Design, develop, and maintain microservices-based applications
  • Collaborate with cross-functional teams to support multiple projects
  • Implement event-driven architectures and work with modern cloud technologies
  • Contribute to architecture and code reviews, and provide technical guidance as needed

 

Additional Details

 

  • Location: India
  • Type: Full-time contract
  • Duration: 9–12 months
  • Remote: Yes (fully remote)
  • Authorization: Applicants must be authorized to work in their country of residence without employer sponsorship

Requirements

  • Strong experience with Java and Spring Boot
  • Expertise in Microservices architecture
  • Hands-on experience with event-driven systems
  • Proficiency with both SQL and NoSQL databases
  • Experience with Azure or AWS cloud platforms
  • Ability to work with good overlap in American time zones
 

To apply: https://weworkremotely.com/remote-jobs/toptal-senior-java-developer-microservices

Rapid prototyping with GenAI: From idea to interactive PoC in days

Rapid prototyping with GenAI:   From idea to interactive PoC in days

I’ve been dreaming about the future of software development for a while now. And I’ll admit, my vision might sound like a nightmare to some of you. But hear me out.

Picture this: You write a single prompt. Something beautifully simple like “Make me a text editor like Microsoft Office Word, just make it better.” You press enter, grab a coffee, maybe have lunch with your team, do some team building exercises.

When you come back, there it is. A perfect product waiting for you.

The software anticipates everything. It understands how humans interact with technology. It guides users through complex tasks seamlessly. All that’s left is calling the customer, showing them your creation, and sending the invoice.

That’s my dream. And yes, I know we’re nowhere close to that reality yet.


The harsh reality of generative AI in software development

Working with generative AI tools today feels vastly different from that utopian vision. Whether you’re using them for software development, marketing, or any other domain, you’ve probably noticed the gap between promise and reality.

The limiting factors are significant. Let me walk you through what’s holding us back.

Implicit knowledge remains our biggest challenge

One of the most significant limitations of generative AI isn’t technical—it’s human. Much of what makes great software comes from experience and intuition, not documentation.

In practice, this creates a gap:

  • Developers rely on implicit knowledge built over years
  • Teams understand users and business context intuitively
  • This knowledge can’t be fully documented or standardized

Unwilling stakeholders create real barriers

Then there’s the human element. You might have stakeholders in your organization or your customer’s organization who simply say no. “Don’t use AI. We want you to write everything by hand.”

These concerns often come from valid places. Security worries keep people up at night. What if that beautiful new text editor you deployed leaks all user data to an unsecured S3 bucket somewhere on the web?

These aren’t hypothetical concerns. They’re real risks we need to address.

Business complexity overwhelms current AI capabilities

Modern businesses operate with complex data structures that often confuse even employees who’ve been there for years. How can we expect AI to navigate this complexity when humans struggle with it?

And then there’s the most critical challenge: Dependencies. Software components need to work together seamlessly.

When you tweak component A, you might break component B. Zoom out to the enterprise level, and you see external systems, APIs, processes, and compliance requirements all interconnected in ways that current generative AI simply can’t handle in one go.

The story of Sora: What it reveals about building real-world AI
After ChatGPT’s breakthrough, the race to define the next frontier of generative AI accelerated. One of the most talked-about innovations was OpenAI’s Sora, a text-to-video AI model that promised to transform digital content creation.
Rapid prototyping with GenAI:   From idea to interactive PoC in days

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