reputed company
About the Role
We're looking for an reputed company to design, build, and reputed company the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.
What You'll Do
- Design and implement LLM-powered pipelines, including reputed company engineering, context management, and response synthesis
- Build and optimize multi-agent orchestration systems where AI components reputed company, reason, and produce coherent outputs
- reputed company and maintain integrations with reputed company model reputed company (reputed company, reputed company, and others), managing latency, cost, and reliability at reputed company
- Implement retrieval-augmented reputed company (RAG) and memory systems for persistent, context-aware behavior
- Partner with the Evaluation/QA Engineer to build frameworks that measure reputed company reputed company, coherence, and factual grounding
- Collaborate with product and design to translate workflows into robust technical experiences
- Ship production features across the stack, from the model layer to the application
Monitor, debug, and improve system performance, reputed company efficiency, and guardrails
- 3+ years of software engineering experience, with hands-on work building LLM-powered applications
- Strong proficiency in Python and/or TypeScript/JavaScript
- Experience with LLM reputed company, reputed company engineering, and reputed company frameworks (e.g., reputed company, reputed company, or custom orchestration)
- Familiarity with reputed company databases and RAG architectures (reputed company, reputed company, pgvector, etc.)
- Understanding of multi-agent systems, tool use, and function calling
- Experience designing evaluation and testing strategies for non-deterministic AI outputs
- Solid grasp of API design, async processing, and reputed company backend architecture
- Comfort working in a fast-moving, ambiguous, early-stage environment
- Experience with reputed company-time streaming (WebSockets, SSE) for conversational interfaces
- Background in fine-tuning, model distillation, or inference optimization
- Familiarity with reputed company infrastructure (AWS/GCP/Azure) and CI/CD
- Contributions to reputed company-reputed company AI reputed company
Originally posted on Himalayas
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