About the Role
We are seeking a Senior Backend Engineer to join our innovative team at Rise Technical. This Senior Backend Engineer remote position offers an exciting opportunity to work with cutting-edge AI technologies and contribute to the development of an AI-powered SaaS platform. You will play a crucial role in architecting the core systems that power our machine learning products.
What You'll Do
- Lead the development of an AI-driven SaaS platform for voice AI agents.
- Utilize Python and FastAPI to build scalable backend services.
- Work with PostgreSQL and manage database operations.
- Implement cloud solutions using AWS and CI/CD pipelines.
- Collaborate closely with a small, high-caliber engineering team to shape the future of AI.
Requirements
- Proven experience in Python development, ideally with FastAPI.
- Hands-on experience with SQL, preferably PostgreSQL.
- Ability to thrive in fast-paced startup environments.
- Genuine passion for AI and emerging technologies.
- Comfortable taking ownership of complex systems and building 0-1 solutions.
Nice to Have
- Experience with AWS services and DevOps practices.
- Familiarity with machine learning concepts.
- Previous experience in a startup environment.
What We Offer
- Competitive salary ranging from $150,000 to $250,000.
- 401(k) plan with company matching.
- Comprehensive health benefits.
- Generous PTO policy.
- Equity options for employees.
- Relocation assistance for the right candidate.
- Opportunities for career growth and professional development.
This Senior Backend Engineer role offers a unique opportunity to work in an AI-first startup with a competitive salary and growth potential.
Who Will Succeed Here
Proficient in Python and FastAPI with a strong understanding of asynchronous programming and RESTful API design, enabling the development of scalable applications for AI-powered SaaS platforms.
Strong experience with PostgreSQL and AWS services, demonstrating the ability to design and manage robust databases and cloud infrastructures critical for high-availability AI applications.
Expertise in DevOps practices, including CI/CD pipelines and containerization (Docker), ensuring smooth deployment and integration of backend services in a fast-paced office environment.
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