Atlas AI is a workflow automation platform for BFSI. Our AI agents assist business lenders in automating customer onboarding, data collection, and document verification — streamlining operations and enhancing efficiency for financial institutions.
What We’re Looking For
- 3–5 years of hands-on experience building and deploying scalable backend systems.
- Strong proficiency in Python with a proven track record of designing and developing REST APIs.
- Solid knowledge of databases — relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis).
- Experience deploying on cloud (AWS, Azure, GCP) and enterprise / on-prem environments.
- Strong understanding of DevOps practices — able to design and maintain CI / CD pipelines, containerized workloads (Docker, Kubernetes), and monitoring / logging systems.
- Familiarity with integrating AI / ML or GenAI models into backend systems is a big plus.
- Strong problem-solving abilities, creativity, and a proactive mindset.
- Bonus : Experience working with enterprise / fintech deployments or compliance-heavy environments.
What You’ll Do
Collaborate with the founding team to shape technical and product direction.Design and build scalable backend services with robust, secure architectures.Own deployment strategies for both cloud and on-prem environments (CI / CD, Docker, Kubernetes, monitoring).Optimize system performance, reliability, and deployment speed.Experiment with cutting-edge AI / LLM technologies, integrating them into backend workflows.Troubleshoot and resolve complex issues across both application and infrastructure layers.Perks
Work directly with the founders and play a key role in product evolution.Flexible work hours in a fast-paced startup environment.Opportunity to lead deployments and take ownership of high-impact projects.