AI Engineer

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