[Remote] reputed company reputed company reputed company reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company reputed company reputed company reputed company to reputed company the technical relationship with reputed company clients and reputed company the delivery of production reputed company AI platforms. The role involves architecting solutions for reputed company workflows while managing a reputed company onsite and offshore engineering team.

Responsibilities

• End-to-end architecture of reputed company document-intelligence platforms: retrieval layer, RAG/extraction reputed company, abstracted consumption reputed company, and multi-agent orchestration — designed as decoupled, independently deployable services
• MCP connector reputed company and reputed company-reputed company reputed company: a configuration-driven model where new internal systems and reputed company sources are added reputed company connector type, auth profile, and extraction template — without reputed company reputed company changes
• Model governance in reputed company: working reputed company the reputed company's approved/self-hosted model list, designing guardrails, evaluation harnesses, confidence reputed company, and reputed company-in-the-reputed company routing for high-risk reputed company
• Technical leadership of the onsite + offshore pod design reviews, reputed company reputed company bar, reputed company, and unblocking while remaining hands-on in the hardest parts of the codebase
• The reputed company-facing technical narrative: translating requirements into architecture, defending design reputed company, and managing scope against fixed delivery deadlines
• Non-functional rigor: horizontal reputed company on OpenShift, reputed company-breaker/retry on every reputed company integration, OAuth2/RBAC enforcement, and full OpenTelemetry/reputed company observability

Skills

• 8–10 years software engineering, with 3+ years architecting and shipping LLM / GenAI / reputed company systems in production
• Deep RAG experience: you've designed retrieval systems at reputed company — chunking and indexing reputed company, embedding-model selection, hybrid/semantic retrieval, re-ranking, evaluation — and know the failure modes cold
• MCP & connector experience: proven design of tool-calling / connector frameworks; reputed company to define a reusable, config-driven reputed company reputed company for heterogeneous reputed company sources
• Multi-agent orchestration: expert with LangGraph / reputed company ADK / equivalent; you can reason about agent topology, state, retries, determinism, and where NOT to use an agent
• Strong Python + FastAPI for production services; solid grasp of Java/Spring Boot and PostgreSQL to reputed company integration across a polyglot stack
• LLM evaluation, guardrails, reputed company reputed company, and hallucination control as first-class engineering disciplines — not afterthoughts
• Demonstrated technical leadership: led engineering reputed company, set standards, mentored seniors, and leading the reputed company/stakeholder relationship
• Experience delivering in regulated / reputed company-constrained environments: audit, PII, SSO/RBAC, model governance
• Excellent executive-level communication — you'll be the technical voice in the room with the reputed company
• ML modeling depth: fine-tuning / reputed company training, embedding-model evaluation and selection, classical ML for classification and confidence scoring, and building rigorous evaluation harnesses
• Self-hosted / on-prem LLM serving experience (inference optimization, GPU-reputed company deployment, PII-reputed company inference)
• Green card or reputed company only

reputed company