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We are looking for a AI Automation Engineer to join our team.

We're searching for a talented and passionate technologist to implement AI driven innovation by integrating AI Agents and AI APIs in automation processes and Internal Tools. As a key member of the team, you'll play a vital role in developing and implementing innovative solutions to enhance our company's efficiency, productivity and quality. You'll leverage your expertise in artificial intelligence (AI) , automation tools, and software development to design, build, and deploy tools that streamline workflows, automate repetitive tasks, provide insightful data analysis, reduce costs and help the company scale.

Responsibilities
Work with the AI Projects Manager to research, design, and develop AI-powered solutions (e.g., chatbots, machine learning models) to automate tasks, unlock scaling opportunities and generate efficiencies across the company.
Build internal tools that automate workflows, improve data accessibility, and improve data accessibility, and facilitate collaboration within the company.
Integrate AI and internal tools seamlessly with existing systems and infrastructure to ensure smooth operation and data flow.
Write clean, maintainable, and well-documented code or automation processes, adhering to best practices and security standards.
Conduct unit tests and implement test-driven development (TDD) methodologies to ensure code quality and reliability.
Monitor and maintain deployed tools, identifying and resolving technical issues promptly.
Stay up-to-date with the latest advancements in AI, automation tools, AI APIs, and internal tool development best practices.

Were looking for a versatile, talented, and highly motivated Data Engineer to join our growing team.

If youre passionate about solving complex problems, thrive in dynamic environments, and love working at the intersection of data engineering, machine learning infrastructure, and AI innovation, this role is for you.

As a Data Engineer, youll play a key role in shaping how data flows through the company, from building scalable pipelines and robust infrastructure to powering data science models and enabling internal teams with intelligent GenAI-powered tools. This is a hands-on, high-impact role with plenty of room for ownership, creativity, and growth.

This is a high-impact role where your work will shape how the company leverages data and AI. If you want to build, innovate, and push boundaries in a collaborative and fast-moving environment, wed love to meet you.

Responsibilities
Own the entire data lifecycle from understanding business needs and building reliable pipelines to ensuring data quality, observability, and performance.
Design, build, and scale modern data infrastructure including data lakes, warehouses, and complex ETL/ELT pipelines.
Integrate and consolidate diverse data sources (CRMs, APIs, databases, SaaS platforms) into a single, trusted source of truth.
Implement and manage CI/CD, observability, and infrastructure-as-code in a cloud-native environment.
Work with the data science team on their ML pipelines, giving data scientists the infrastructure and automation they need to deploy models to production with speed and confidence.
Collaborate with cross-functional teams to embed GenAI agents into business processes, creating smart workflows that boost efficiency and reduce manual work.
Develop frameworks and internal tooling that empower other teams to safely adopt AI and accelerate innovation.
Optimize data infrastructure for performance and cost-efficiency, with a focus on BigQuery optimization.
Ensure high data quality and integrity across large-scale ETL processes. Work closely with analysts, data scientists, and product managers to support data modeling, governance, and analytical initiatives.

We help enterprises and service providers empower their data -driven competitive advantage at scale. We are a leading provider of enterprise-class Storage solutions. The companys software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing Storage technologies.
As a software engineer in TEST, you need to be innovative and passionate about quality. You will continuously design creative ways to break software and identify potential bugs. In this role, you will be responsible for driving TEST development and infrastructure of an enterprise-grade, distributed Storage system and build automated TEST suites.
Responsibilities:

* Develop complex TEST scenarios and tools using our massive infrastructure in Python
* Build and design infrastructures, tools and utilities
* Take an active role in product architecture and design decisions
* Participate in all stages of the development process - from design to delivery
* Design TEST plans for large and complex features in the product
* Investigate and solve hard-to-find problems such as race conditions, delicate timing issues and problems happening only at large scales or high performance
* Sign-off on official product releases: you'll have the authority to say "not good enough!"

Required Technical Support Specialist - Base44
Job Description
Base 44 is seeking a highly motivated and dynamic Tech Support Specialist to join our growing team. This is a fantastic opportunity to be a key player in a fast-paced, innovative, and collaborative start-up environment. As a Tech Support Specialist, you will be on the front lines, providing technical support, troubleshooting issues, and contributing to the overall success of our product. You'll have a significant impact on our users and the growth of our product. In this role, you will:
Assist users with product-related issues, offering timely and effective solutions.
Diagnose and resolve technical problems, utilizing your problem-solving skills and technical knowledge.
Go beyond issue resolution: Educate users on effective vibe-coding techniques and guide them toward best-practice build approaches that help them realize their vision.
Proactively communicate technical issues, emerging trends, and potential improvements to the team, and raise concerns and flags as needed.
Work cross-functionally within a cohesive team environment to ensure product success.