Senior Backend Engineer (Python API, Blueflame AI)

Blueflame AI is hiring hybrid senior backend engineers with deep Python expertise (8+ years) and extensive experience designing production API’s and distributed systems. Our engineers play a critical role in producing high-quality software solutions to support the Blueflame AI platform. This position requires close collaboration with our Client Success (Professional Services) and Product teams and other members of our Engineering team to develop and implement software components and ensure the reliability and performance of the platform. This role also contributes to system design and architectural decisions. The ideal candidate will be organized, energetic, and comfortable working in a fast-paced startup environment. Design and implement server-side logic and functionality for the Blueflame AI platform, ensuring efficient data processing and management. Create, maintain, and optimize databases (MongoDB, Redis), ensuring data integrity and security. Develop and maintain RESTful APIs to enable communication between server and client-side applications, as well as with third-party services. Implement security measures to protect data and applications from unauthorized access and vulnerabilities. Contribute to system design and architectural decisions — evaluate tradeoffs and communicate technical direction. Review and approve pull requests; plan and scope deliverables against timelines. Optimize platform performance and identify and fix bugs. Collaborate with Product and Client Success on requirements and delivery. Write and maintain documentation for code, processes, and best practices. Qualifications Able to work onsite in NYC three days per week. Experience with MongoDB and Redis. Experience with distributed systems. Currently based in (or willing to relocate to) the NYC metro area. 8+ years of professional software engineering experience. Expert-level Python. Strong system design and architecture experience. Extensive experience building production REST APIs. Experience with LLMs or applied AI. End-to-end SDLC ownership. Experience leading a team or coordinating across multiple stakeholders. Benefits Culture and benefits built around work-life balance. Extensive resources to support physical and mental health. Employee assistance program. Generous retirement plans. Incentives for referring new colleagues. Learning, training and mentoring programs. Cross-functional projects. Stretch assignments to help you progress. Receive feedback and earn bonuses from peers & managers. Employee bonding activities. ESG and charitable team initiatives. #J-18808-Ljbffr Datasite