backend engineer
A.I. Driven, Inc.
United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Software System Penetration Testing
Cyber Security
Continuous Integration
Distributed Systems
Fault Tolerance
Python (Programming Language)
PostgreSQL
Performance Tuning
Queueing Systems
Redis
+10 more
Software Engineering
Large Language Models
Software Security
Backend
Fastapi
Front End Software Development
Data Pipelines
Docker
Vulnerability Analysis
Microservices
Job description
- Architect, develop, and maintain backend services and APIs that power Theori’s AI security platforms.
- Design for performance, scalability, and fault-tolerance across distributed systems.
- Collaborate with product and frontend engineers to define and deliver secure, well-structured APIs.
- Build and optimize data pipelines supporting LLM agent workflows and real-time scanning.
- Establish backend best practices, coding standards, and CI/CD processes for a growing US team.
- Write clean, well-tested, and maintainable code in Python and related technologies.
- Mentor junior engineers and contribute to a strong, collaborative engineering culture.
Requirements
- 5+ years of professional software engineering experience building production systems.
- Strong proficiency in Python, with proven experience developing reliable backend services (FastAPI preferred).
- Solid understanding of system design, distributed architectures, and performance optimization.
- Experience with Redis, PostgreSQL, and Docker-based environments.
- Familiarity with AI/LLM-driven workflows or asynchronous, event-based architectures.
- Comfort working in an early-stage environment with evolving requirements.
- Self-directed, ownership-oriented, and comfortable driving projects from design to deployment.
- Based in US or Canada., * Experience with Rust.
- Background in cybersecurity, application security, or vulnerability analysis.
- Knowledge of message queues, task orchestration, or microservices.
- Familiarity with LLM integration, RAG pipelines, or vector databases.
- Prior experience in startups or B2B SaaS environments.
- Previous involvement in building or scaling distributed systems or engineering teams.
Benefits & conditions
- Competitive salary + equity
- Health, dental, and vision insurance
- Generous PTO policy
- Remote work
- Laptop + home office stipend
Engineering Culture
- Ship features that matter
- Modern Python-based stack (FastAPI, Redis, PostgreSQL, Docker)
- Strong focus on testing and quality
- Clear documentation and processes
- Collaborative, low-ego team
- Career growth and mentorship
Work-Life Balance
- Flexible hours, remote-first culture
- Focus on outcomes, not hours
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