Job Summary

We are a lean, tenacious machine powered by 85 of the sharpest, most passionate people we could find.

Simelabs is a product-driven venture-development firm that works with a range of startups and big brands to create compelling, successful, award-winning application. We help people perfect and realise their visions for digital products. While others may just churn out what a client asks for, we strive to truly understand the problems our clients are aiming to solve and will stop at nothing to build solid products that we re proud of.

Roles and Responsibilities

- Build scalable ETL/ELT pipelines.
- Design workflow orchestration pipelines using Apache Airflow or equivalent.
- Develop data transformation pipelines using dbt or similar frameworks.
- Design operational and analytical data models.
- Work with structured and semi-structured enterprise datasets.
- Optimize large-scale data processing workloads.
- Design scalable backend applications using Python.
- Build RESTful APIs and enterprise backend services.
- Design reusable and maintainable backend architecture.




- Design and implement enterprise AI applications using LLMs.
- Build Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge retrieval.
- Develop Agentic AI workflows using orchestration frameworks.

The Ideal Candidate

- 10-15 years of experience in backend engineering, AI, or data engineering.
- Solid experience leading engineering teams.
- Hands-on experience building enterprise AI solutions.
- Experience designing scalable cloud-native platforms.
- Strong understanding of distributed systems, data architecture, and enterprise software development.
- Excellent communication and stakeholder management skills.

Got what it takes

Want to join the team? Submit your application. We respond to most inquiries within three business days.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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