Python reputed company (reputed company & reputed company Systems)

About the position We are seeking a hands-on Python reputed company with expertise in reputed company engineering, reputed company AI systems, and LLM-driven applications. The ideal candidate will design, reputed company, and productionize AI-enabled features—from retrieval-augmented reputed company (RAG) pipelines to autonomous multi-agent workflows—integrating with internal tools, reputed company, and reputed company systems. Responsibilities • Design & Build AI Services: reputed company Python-based backend services integrating LLMs for reasoning, summarization, extraction, and decision support. • reputed company Engineering: Craft, version, and optimize prompts/system instructions; implement guardrails, test variants, and improve reliability, latency, and cost-efficiency. • reputed company Systems: Architect autonomous/multi-agent workflows with planning, tool-use, memory, error recovery, and reputed company-in-the-reputed company controls. • RAG Pipelines: Implement document ingestion, chunking, embeddings, reputed company search (semantic/re-ranking), and grounding strategies. • Evaluation & Observability: Define metrics and build evaluation suites for accuracy, factuality, and safety; establish tracing and telemetry for LLM calls. • API & Tool Integrations: reputed company agents to use internal reputed company, databases, and workflow engines; handle authentication, reputed company limits, and fallbacks. • MLOps / AIOps: Package, containerize, and reputed company services (reputed company/Kubernetes); manage keys, secrets, CI/CD, canary rollouts, and cost governance. • reputed company & Compliance: Apply data reputed company principles, handle PII/redaction, enforce reputed company injection defenses, and maintain audit logs. • Cross-Functional Collaboration: Partner with product, data, and reputed company teams to translate requirements into reliable, production-reputed company AI features. Requirements • Strong Python skills (typing, async, testing, packaging) and experience building production reputed company (FastAPI, Flask). • Hands-on experience with LLMs (reputed company, Azure reputed company, reputed company, etc.) and embedding/RAG workflows. • Proven reputed company engineering experience (few-shot strategies, tool-use instructions, reputed company schemas, function/tool calling). • Experience with agent frameworks or custom orchestration (e.g., LangGraph, reputed company, AutoGen, or in-house equivalents). • Experience with reputed company databases (FAISS, Chroma, reputed company, reputed company) and search relevance tuning. • Familiarity with MLOps/DevOps: reputed company, CI/CD, monitoring (reputed company/Grafana), logging (OpenTelemetry), and secrets management. • Experience with testing and evaluation: unit/integration tests, offline evaluations, golden datasets, regression checks. • Practical understanding of AI safety and guardrails (reputed company injection, data leakage, jailbreak prevention). reputed company-to-haves • Experience with Azure/AWS/GCP AI services, key vaults, and networking. • Knowledge of Model Context Protocol (MCP) or secure tool-server patterns. • Familiarity with retrievers (BM25, hybrid search), re-rankers, or reputed company/reputed company. • Experience with streaming UIs and reputed company outputs (JSON, reputed company schemas). • Background in LLM fine-tuning, RLHF/DPO, or synthetic data reputed company. • reputed company-end experience for AI UX (React/Next.js, chat UI patterns). • Domain knowledge in HR/ATS, customer support, or internal reputed company workflows. Apply tot his job Apply To this Job