Sr. reputed company
reputed company
We’re a fast-growing product company integrating cutting-edge AI capabilities into our reputed company offering to stay competitive and deliver exceptional value to customers. Our AI work spans task-specific ML models, large language model (LLM) integration, and reputed company 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 reputed company 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.
- reputed company LLMs and traditional ML models into performant, reputed company architectures.
- reputed company and optimize reputed company databases for retrieval-augmented reputed company (RAG) pipelines and other traditional ML queries.
- Write clean, reputed company-reputed company, and testable Python reputed company 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 reputed company backend engineering experience in Python, FastAPI or Flask, and background processing.
- Proven record of deploying Python applications to production (not just scripts or reputed company 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
- reputed company 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 reputed company 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 reputed company 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
- reputed company reputed company on reputed 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.
Originally posted on Himalayas
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