Full Stack Engineer/Developer [no cash pay first 6 months]

Job Title: Full Stack Software Engineer/Developer [no cash pay first 6 months]

Location: fully remote

Job Type: part-time

IMPORTANT: work part-time with 2.0% share WITHOUT cash pay for the first 6 months. After 6 months, up to $10k can be exchanged from (part of) the share upon securing funding, with the option to change to full-time role with salary.

About Us: At Adequata, we are a fast-growing AI & Data startup focused on revolutionizing industries through cutting-edge solutions. Our mission is to empower businesses with intelligent data quality tools that harness the power of machine learning and AI to solve complex data quality challenges. Check out our landing page https://adequata-ai.webflow.io/

We are looking for a highly experienced Full Stack Software Engineer/Developer to join our team. This role is perfect for someone who thrives in a dynamic, fast-paced startup environment, and has a passion for creating user-friendly, production-grade applications.

Position Overview: As a Full Stack Software Engineer/Developer at Adequata, you will be at the forefront of building scalable, customer-facing software and services that integrate seamlessly with existing Python-based algorithms. You will collaborate with data scientists, product managers, and other engineers to bring innovative solutions to the world, focusing on performance, user experience, and rapid iteration. This is a unique opportunity to work in the intersection of AI, data science, software engineering & development, to have a direct impact on our product succuss.

Responsibilities:

• Integration & Full Stack Development: from existing Python-based core algorithms to further develop user-facing, scalable and efficient software product, which can be seamlessly integrated into popular data frameworks such cloud platforms AWS/GCP/Azure, Snowflake, Databricks, etc. Build and maintain robust back-end and front-end solutions.
• Customer-Facing Products: Develop user-friendly interfaces that abstract the complexity of AI-powered systems, ensuring intuitive interactions and seamless experiences for end-users.
• End-to-End Ownership: Own the end-to-end lifecycle of software products, from initial design through development, deployment, and monitoring. This includes writing clean, maintainable code, testing, and working on continuous improvements.
• Agile Iteration & Product Rollouts: Work in an agile environment, rapidly iterating on product features and releasing updates based on user feedback and performance metrics. You’ll ensure smooth rollouts and handle production issues as they arise.
• Collaborative Development: Collaborate with developers, data engineers and scientists to develop and optimize data processing and workflows that feed into customer-facing applications to meet business and user needs.
• Monitoring & Performance: Set up monitoring tools to ensure software reliability and performance, and implement best practices for deploying AI models and services into production. Respond to production issues, optimize systems, and ensure scalability.
• Generative AI & Tools Expertise: Leverage your knowledge of generative AI models, frameworks, and libraries (such as GPT, Llama, etc) to implement cutting-edge features into our products. Stay up-to-date with trends and advancements in generative AI technologies.

Required Skills and Qualifications:

• Full Stack Development Expertise: Proven experience with full stack development (front-end and back-end), with proficiency in technologies like Python, JavaScript, HTML5, CSS, UI/UX, APIs, SDKs, popular frameworks (Django, Flask, FastAPI, Node.js, Golang, React, Angular, Vue.js). Prioritize security, authentication, and pipeline orchestration.
• Python Algorithm Integration: Solid experience working with Python, including integrating existing Python algorithms into scalable software solutions.
• Cloud & Deployment Skills: A deep understanding in cloud platforms (AWS, GCP, Azure) & Terraform, containerization technologies (Docker, Kubernetes). Experience deploying & integrating software applications in cloud environments.
• Data Engineering: Proficiency with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and understanding of data storage architectures. Practical experience with ETL, BigData tools like Apache tools (Spark, Airflow, Hadoop etc.).
• Experience with DevOps & CI/CD: Experience with DevOps tools and CI/CD pipelines, ensuring a smooth and automated process for testing, building, and deploying software in production.
• Generative AI Knowledge: Interest in and have experience with various generative AI tools, models, and frameworks. A strong understanding of how generative AI works and how to apply it to build innovative products.
• Team Collaboration & Independent Work: A demonstrated ability to work both independently and collaboratively in a fast-paced, startup environment. Comfortable taking ownership of projects and delivering results with minimal supervision.
• Fast Learner & Problem Solver: Ability to quickly grasp new technologies, adapt to new tools and frameworks, and find innovative solutions to complex engineering problems.
• Strong Communication Skills: Ability to communicate technical concepts clearly and work closely with team members, product owners, and other stakeholders.

Preferred Qualifications:

• Experience in data-driven enterprises, building and maintaining data pipelines, integrating data systems, and working with complex datasets in production environments.
• In-depth knowledge and experience with generative AI such as LlamaIndex, AI agents, etc.
• Familiarity with data visualization tools and libraries (e.g., D3.js, Plotly).
• Previous startup experience or experience working in a highly dynamic and innovative environment.
• Experience with microservices architecture.

Why Join Us?

• Innovative Environment: Be a key part of a fast-growing AI-driven startup where your work will directly impact the products and solutions we deliver to clients.
• Growth Opportunities: Access to career growth and learning opportunities as we scale, with mentorship from industry experts in AI and software engineering.
• Flexibility: Enjoy the freedom of fully remote and flexible work environment.
• Rewarding: Working part-time with 2.0% equity share, with possibility to change to full-time with an additional competitive salary & benefit package after 6 months.