AI Engineer
vuedata technologies privateKirkland (WA)
AI Engineer
Posted 3 days ago
vuedata technologies privateKirkland (WA)
SENIORITY
Senior
About the role
VueData is hiring a Senior AI Engineer to build production-ready agentic AI and LLM platform capabilities, with AWS Bedrock, RAG, guardrails, and MCP-based tool integration.
Responsibilities:
Design, develop, and deploy agentic and multi-agent AI systems for production use cases
Create agent workflows that include reasoning, planning, routing, delegation, tool execution, memory, state management, checkpointing, parallel execution, and human-in-the-loop patterns
Work with frontier LLMs and make practical decisions across model selection, prompting, structured outputs, context management, latency, token usage, quality, and cost
Build and integrate MCP servers, reusable tools, and function/tool-calling workflows connecting agents to APIs, databases, enterprise systems, and internal applications
Orchestrate production-grade agent workflows and multi-agent systems
Develop AI applications using AWS Bedrock, including foundation models, Knowledge Bases/RAG, Guardrails, and related services
Build RAG and enterprise retrieval pipelines covering ingestion, embeddings, vector search, reranking, metadata filtering, and grounding
Design multi-model architectures based on task complexity, quality, latency, and cost
Implement LLM observability and evaluation, including tracing, tool execution monitoring, response quality, grounding, hallucination signals, latency, token consumption, and task completion
Implement AI security patterns such as guardrails, prompt-injection defenses, tool permissioning, credential management, and safe agent execution
Build reusable agent platforms and frameworks (beyond standalone chatbots)
Use AI coding assistants and coding agents for development, debugging, testing, refactoring, and code analysis while maintaining ownership of code quality and architecture
Partner with product and engineering teams to move AI use cases from POC to production
Requirements: Python skills with experience building production APIs and backend services
Hands-on experience with Generative AI, LLMs, agentic architectures, and multi-agent orchestration
Experience with frontier models such as OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, or equivalent
Hands-on experience with MCP, tool/function calling, structured outputs, and agent-to-tool integration
Experience with AWS Bedrock and building AI/LLM applications on AWS
Experience with one or more agentic AI frameworks: LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or equivalent
Strong understanding of RAG, embeddings, vector databases, semantic search, and reranking
Experience with LLM observability, tracing, evaluation, and production monitoring using tools like Langsmith or equivalent
Working knowledge of AWS services: Lambda, ECS/EKS, API Gateway, S3, DynamoDB/RDS, OpenSearch, SQS/SNS, CloudWatch
Comfortable with AI-assisted development using tools such as GitHub Copilot, Cursor, Claude Code, Codex, or similar coding agents
What We Are Looking For: Not a traditional data science or model-training role
Comfort moving between an LLM, agent workflow, MCP tool, Python service, RAG pipeline, and AWS Bedrock, with understanding of how these pieces work together in a reliable production system
AI-native approach to software development using AI coding tools extensively while retaining ownership of architecture, code quality, testing, security, and the final implementation
Technologies
Python; Generative AI; LLMs; agentic architectures; multi-agent orchestration
Frontier LLMs: OpenAI GPT; Anthropic Claude; Google Gemini; Meta Llama
MCP; tool/function calling; structured outputs
AWS Bedrock; Knowledge Bases/RAG; Guardrails; RAG; embeddings; vector search; reranking; metadata filtering; grounding
LLM observability: Langsmith
AWS: Lambda; ECS/EKS; API Gateway; S3; DynamoDB/RDS; OpenSearch; SQS/SNS; CloudWatch
Agentic frameworks: LangGraph; LangChain; LlamaIndex; CrewAI; AutoGen
AI coding assistants and coding agents: GitHub Copilot; Cursor; Claude Code; Codex
Location and Salary
Location: Kirkland, WA (onsite)
Salary: USD 80,000 - 110,000 per yearly
Experience
5+ years overall software engineering experience, preferably across backend, cloud, or distributed applications
2+ years hands-on experience with Generative AI, LLM applications, and agentic AI frameworks
Experience taking AI/LLM applications from prototype through production
Benefits: Health insurance
Paid time off
Before you apply
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A number in mind
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Your notice period
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