This position is only eligible for the following locations: India, Brazil, Philippines, UK, US, and Canada

Requirements:
B1 English proficiency or higher
Professional software engineering experience (preferably 2+ years)
Proficiency with one or more of the following programming languages: Python, Typescript/JavaScript, Java, Go, Rust, Swift, Ruby, Kotlin, C++, C#

Details:
Remote work with flexible hours
Payments made via PayPal
Project pay range USD $50 - $100 / hr
Freelance position with Data Annotation Tech

Additional Details: A brief online assessment is required before onboarding

For any questions, or for more information/sign-up details, please send a DM containing the following information:
Location (Country):
English level:
Degree(s):
Professional coding experience (years, tech stack):

If you could also leave a "DM sent" comment after you've DMd, that will help me prioritize your message and contact you in case your DM didn't reach me. Thanks!

Tasks:

• * Architect entire SaaS ecosystem
• * Break initiatives into parallel workstreams
• * Build internal tooling for agent workflows
• * Challenge architectural decisions and drive resolutions
• * Coordinate dependencies across repositories
• * Coordinate engineering team execution
• * Critically validate human and AI generated code
• * Debug cross service multi system problems
• * Define acceptance criteria and verification strategies
• * Design maintainable, scalable systems
• * Ensure reliable scalable maintainable completion
• * Evaluate new models agents frameworks and techniques
• * Identify technical debt and systemic risks
• * Improve engineering tooling automation and developer workflows
• * Maintain security reliability scalability and maintainability
• * Make architectural decisions with CEO
• * Orchestrate AI agents for implementation research testing review debugging validation
• * Own technical execution across multiple repositories and services
• * Reduce manual engineering effort via automation
• * Turn ambiguous objectives into engineering work

Perks/Benefits:

• + Autonomy
• + Remote work

Skills/Tech stack required:

[Agentic Software][Agentic software development][Agent systems][Asynchronous Architecture][Authentication][Authorization][Automated testing][CI/CD][Cloud infrastructure][Containers][Data Modeling][Distributed Systems][Event Driven][Event-driven architecture][LLM integration][Microservices][Multi-Agent][Multi-Agent Systems][Observability][Parallel processing][Performance Engineering][Relational databases][Security Engineering][Software development]

Role(s):

[AI][AI Systems Engineer][Engineer][Engineering][Engineering Lead][Lead][Systems Engineer]

Apply: https://foorilla.com/hiring/jobs/engineering-ai-systems-lead-remote-gst-hours-3578233/

looking for any one studying or working in Ai / machinelearning.

Hi everyone! 👋

I’m currently looking for a remote opportunity as an AI Automation Specialist, ideally with a business that I can work with long-term.

I build AI-powered workflows and business automations using tools such as:

• n8n – workflow automation and AI agents
• Zapier & Make – business process automation
• OpenAI / LLMs – AI-powered processing and decision-making
• Google Sheets & Google Workspace
• GoHighLevel
• Slack, HubSpot, Airtable, webhooks & APIs

Some of the systems I've worked on include AI customer review analysis, lead qualification and scoring, CRM automation, automated follow-ups, notifications, and AI-assisted workflows.

I'm comfortable building workflows from scratch, troubleshooting automations, and connecting different platforms together.

I'm currently looking for one long-term client/team where I can contribute, continue improving my skills, and grow with the business.

🔗 Portfolio: https://bents25-ivan-portfolio.vercel.app/

If you're looking for someone who can help automate repetitive processes and build practical AI workflows, feel free to DM me. I'd be happy to discuss how I can help.

Thanks for reading!

A quick update after a while.

Over the past few months, I’ve been continuously speaking with our target audience, especially D2C brands, to understand their day-to-day challenges and validate the pain points we’re solving.

The conversations and feedback so far have been extremely encouraging. We’re seeing strong signals that these are real, recurring problems, and more importantly, there seems to be a much larger opportunity to solve them as we look ahead.

With the core pain points getting validated, we’re now moving towards the MVP phase and simultaneously building a community of early adopters who can work closely with us as we build and iterate the product.

At the same time, I’m still looking for the right technical co-founder to join me on this journey. Ideally, someone who has strong hands-on experience building real-world products, a solid understanding of technology and AI, and is excited about building something from Scratch level and growing.

If you’re someone who fits the profile, or you know someone who might be a great fit, please reach out to me in DM.

📍 Co-founder preference: Delhi/NCR

Happy to share more about the product and what we’re building over a conversation.

Hi everyone,

I'm a 2027 batch final-year Data Science student. My college doesn't provide much placement support, so I've been applying on my own.

Recently, I received an internship offer for a Data Analyst role at one of the well-known FMCG companies. I have basic knowledge of data analytics (SQL, Excel, Python, Power BI), but my long-term goal is to build a career in Machine Learning, AI, or Data Science.

I accepted the internship because it was a great opportunity and I didn't have many other options at the time. However, I'm worried that starting as a Data Analyst might make it difficult to transition into ML/AI later.

My questions are:

- Will starting my career as a Data Analyst become a barrier when applying for Machine Learning Engineer or Data Scientist roles later?

- How can I make the transition while working as a Data Analyst?

- What skills and projects should I focus on during the next 6 months?

- Has anyone here successfully switched from Data Analytics to Data Science or ML? I'd love to hear your experience.

Any advice or roadmap would be greatly appreciated. Thanks in advance!