EngrewLabs is an AI-native technology company focused on building intelligent automation, data platforms, and next-generation AI solutions. We work with startups and enterprises to transform business processes through machine learning, large language models (LLMs), data engineering, and scalable cloud infrastructure.
Our team values ownership, curiosity, and rapid execution. We believe in giving talented engineers the freedom to experiment, innovate, and make meaningful contributions from day one.
What You’ll Do
- Design, build, and maintain scalable data pipelines and data infrastructure.
- Collect, process, and analyze large datasets from various sources.
- Develop machine learning models and AI-driven solutions for real-world business problems.
- Work with modern AI technologies, including LLMs, RAG systems, and AI agents.
- Create data models, dashboards, and reporting solutions that drive business decisions.
- Improve data quality, reliability, and accessibility across the organization.
- Collaborate with engineers, product teams, and stakeholders to deliver impactful solutions.
- Research and evaluate emerging technologies in data engineering, machine learning, and AI.
Requirements
- Strong proficiency in Python and SQL.
- Experience working with relational and/or NoSQL databases.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience building ETL/ELT pipelines and data workflows.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of machine learning fundamentals and data analysis techniques.
- Ability to work independently in a remote-first environment.
- Strong problem-solving and communication skills.