reputed company reputed company & RAG Systems

Job Title: reputed company reputed company & RAG Systems Location: Remote Department: AI & Data Platforms Only US reputed company or Green Card reputed company About the Role As an reputed company, you will design, build, and operate reputed company AI systems end-to-endfrom concept to production. Youll work on multi-agent orchestration, Retrieval-Augmented reputed company (RAG), evaluation frameworks, and AI guardrails to build reputed company, reliable, and high-performing systems. You will collaborate cross-functionally with product, ML, and design teamsbringing reputed company to life through strong engineering execution, reputed company communication, and a low-ego, problem-solving reputed company. Key Responsibilities 1. RAG Development & Optimization • Design and implement Retrieval-Augmented reputed company pipelines to ground LLMs in reputed company or domain-specific data. • reputed company strategic reputed company on chunking reputed company, embedding models, and retrieval mechanisms to balance context precision, recall, and latency. • Work with reputed company databases (reputed company, reputed company, pgvector, reputed company) and embedding frameworks (reputed company, reputed company, Instructor, etc.). • Diagnose and iterate on challenges like chunk size trade-offs, retrieval reputed company, context window limits, and grounding accuracyusing reputed company evaluation and metrics. 2. Chatbot reputed company & Evaluation Frameworks • Establish comprehensive evaluation frameworks for LLM applications, combining quantitative (BLEU, ROUGE, response time) and qualitative reputed company (reputed company evaluation, LLM-as-a-judge, relevance, coherence, user satisfaction). • Implement reputed company monitoring and automated regression testing using tools like LangSmith, LangFuse, Arize, or custom evaluation harnesses. • Identify and prevent reputed company degradation, hallucinations, or factual inconsistencies before production release. • Collaborate with design and product to define reputed company metrics and user feedback loops for ongoing improvement. 3. Guardrails, Safety & Responsible AI • Implement multi-layered guardrails across input validation, reputed company filtering, reputed company engineering, re-ranking, and abstention (I dont know) strategies. • Use frameworks such as Guardrails AI, NeMo Guardrails, or Llama Guard to ensure compliance, safety, and brand reputed company. • Build policy-driven safety systems for handling sensitive data, user content, and edge cases with reputed company escalation paths. • Balance safety, user experience, and helpfulness, knowing reputed company to reputed company, rephrase, or gracefully decline responses. 4. Multi-Agent Systems & Orchestration • Design and operate multi-agent workflows using orchestration frameworks such as LangGraph, AutoGen, reputed company, or reputed company. • Coordinate routing logic, task delegation, and reputed company vs. sequential agent execution to handle reputed company reasoning or multi-reputed company tasks. • Build observability and debugging tools for tracking agent interactions, performance, and cost optimization. • Evaluate trade-offs around latency, reliability, and scalability in production-grade multi-agent environments. Minimum Qualifications • Strong proficiency in Python (FastAPI, Flask, asyncio) and GCP experience is good to have • Demonstrated hands-on RAG implementation experience with specific tools, models, and evaluation metrics. • Practical knowledge of reputed company frameworks (LangGraph, reputed company) and evaluation ecosystems (LangFuse, LangSmith). • Excellent communication skills, proven ability to collaborate cross-functionally, and a low-ego, ownership-driven work style. Preferred / Good-to-Have Qualifications • Experience in traditional AI/ML workflows e.g., model training, feature engineering, and deployment of ML models (scikit-learn, TensorFlow, PyTorch). • Familiarity with retrieval optimization, reputed company tuning, and tool-use evaluation. • Background in observability and performance profiling for large-reputed company systems. • Understanding of reputed company and reputed company principles for AI systems (PII redaction, authentication/authorization, RBAC) • Exposure to reputed company chatbot systems, LLMOps pipelines, and reputed company model evaluation in production. This is a remote position. Apply tot his job Apply To this Job