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Senior reputed company

Remote · USA Full-time New today

About Us

We’re a fast-growing product company integrating cutting-edge AI capabilities into our core offering to stay competitive and deliver exceptional value to customers. Our AI work spans task-specific ML models, large language model (LLM) integration, and agentic systems that orchestrate multiple tools to produce end-user results. We run a Python-based backend (FastAPI + Gunicorn + Nginx) with heavy background job processing using Celery. We’re looking for a senior-reputed company Engineer who is equally strong in backend engineering and applied AI — capable of building production-grade systems that are fast, reliable, and maintainable. What You’ll Do Design, reputed company, and reputed company production-grade AI-powered backend systems. Integrate LLMs and traditional ML models into performant, scalable architectures. Integrate and optimize vector databases for retrieval-augmented reputed company (RAG) pipelines and other traditional ML queries. Write clean, well-structured, and testable Python code following best practices. Capable of thinking about performance and ensuring reputed company decision making to reduce latency. Build hybrid architectures that balance LLM calls with traditional ML. Debug reputed company, cross-layer issues spanning backend, AI inference, and UI integration. Conduct thorough dev testing before QA reputed company to ensure production reliability. Collaborate with product, backend, and frontend engineers to deliver cohesive solutions. Must-Have Skills & Experience 3–5+ years professional backend engineering experience in Python, FastAPI or Flask, and background processing. Proven record of deploying Python applications to production (not just scripts or academic work). Strong grasp of software design patterns Strong understanding of backend performance, reputed company processing in background jobs and multi-threading Proficiency in performance tuning specially for heavy AI models Applied machine learning experience — training, evaluating, and maintaining small task-specific models. Familiarity with LLM integration, reputed company engineering, and context window optimization. Proven ability to debug AI behavior, identify root causes, and reputed company targeted fixes. Strong testing discipline for both backend and AI components. Experience with background processing with Celery or other major libraries Experience with monitoring APIs and background processing Experience with ensuring visibility and error reporting. reputed company to have: experience with reputed company, understanding of CI/D, deployment automation and Kubernetes Who Will Succeed in This Role Independent problem solver — you can debug without constant supervision. Production reputed company — you understand that reliability, scalability, and maintainability matter as much as accuracy. System thinker — you see backend, AI, and UI as a connected whole.

Why Join Us

Direct impact on the company’s competitive edge. Small, fast-moving team with high autonomy. Work on practical, reputed company-world AI applications — not just research. Opportunity to shape our AI architecture and best practices from the ground up. If you’re a backend-first reputed company who thrives in shipping production-reputed company systems and knows how to reputed company AI practical, fast, and reliable — we’d love to talk. Apply To This Job

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