Employment Type: Full-Time
Location: Remote
About the Role
We are looking for a Senior AI Engineer with strong full-stack capabilities to join our engineering team. You will work across multiple client-facing projects that sit at the intersection of AI, data, and web—starting with a live production AI agent platform.
You should be comfortable owning features end-to-end, from LLM pipeline design through to a polished frontend experience.
What You'll Do
AI Agent Engineering
Design and build AI agent pipelines, including multi-node Lang Graph graphs.
Implement intent routing, multi-turn conversational context, session state management, and tool integrations.
Develop multi-step reasoning pipelines and graph-based agent workflows.
RAG & Knowledge Systems
Build and maintain Retrieval-Augmented Generation (RAG) systems.
Design vector search architectures, embedding pipelines, retrieval grounding, and chunking strategies.
Implement hallucination mitigation techniques and retrieval evaluation frameworks.
LLM Integration & Optimization
Integrate and optimize Large Language Models (LLMs)



including Open AI, Gemini, and Anthropic.
Develop structured output workflows using JSON schemas.
Create effective prompt engineering strategies, few-shot examples, and context window management solutions.
Build provider-neutral client architectures to support multiple LLM vendors.
Full-Stack Development
Design, develop, and deploy end-to-end product features.
Build scalable Rapid API backends and React/Next.js frontends.
Implement Server-Sent Events (SSE) streaming and REST API contracts.
Deliver production-ready UI features independently without requiring dedicated frontend support.
Observability & Quality
Own LLM observability including:
Token usage logging
Cost tracking
Fallback detection
Performance monitoring
Regression test suites
Build evaluation pipelines and golden test suites to ensure AI quality and consistency.
Client & Product Collaboration
Collaborate directly with clients and st

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