Senior Agentic AI Engineer — LLM Systems & Production

VueData Technologies Private Limited

Kirkland (WA)

Presencial

USD 80 000 - 110 000

Tempo integral

Há 3 dias
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Vantagens oferecidas por esta oferta de emprego

Health insurance
Paid time off

Resumo da oferta

VueData Technologies Private Limited is seeking a Senior AI Engineer to design and deploy agentic AI systems for production use. You will work with frontier LLMs, MCP tool integration, and RAG pipelines, building scalable AI applications on AWS Bedrock.

You will lead workflows involving reasoning, planning, routing, and human-in-the-loop patterns, ensuring robust observability, security, and cost-aware decisions while collaborating with product and engineering teams to move ideas from POC to

Qualificações

  • 5+ years of software engineering experience, preferably backend/cloud/distributed apps.
  • 2+ years hands-on with Generative AI, LLM apps, and agentic frameworks.
  • Experience bringing AI/LLM applications from prototype to production.

Responsabilidades

  • Design, develop, and deploy agentic and multi-agent AI systems for production use cases.
  • Create agent workflows including 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 on 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, and internal apps.
  • 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 including 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 (tracing, tool execution monitoring, grounding, latency, token usage, task completion).
  • Implement AI security patterns such as guardrails, prompt-injection defenses, tool permissioning, and credential management.
  • Build reusable agent platforms and frameworks beyond chatbots.
  • Use AI coding assistants and coding agents for development, debugging, testing, refactoring, and code analysis while owning code quality and architecture.
  • Partner with product and engineering teams to move AI use cases from POC to production.

Conhecimentos

Python
Generative AI
LLMs
Agentic architectures
Multi-agent orchestration
AWS Bedrock
LangGraph
LangChain
LlamaIndex
CrewAI
AutoGen
GitHub Copilot

Ferramentas

Lambda
ECS/EKS
API Gateway
S3
DynamoDB/RDS
OpenSearch
SQS/SNS
CloudWatch
Cursor
Claude Code
Codex

Descrição da oferta de emprego

VueData Technologies Private Limited is seeking a Senior AI Engineer to design and deploy agentic AI systems for production use. You will work with frontier LLMs, MCP tool integration, and RAG pipelines, building scalable AI applications on AWS Bedrock.

You will lead workflows involving reasoning, planning, routing, and human-in-the-loop patterns, ensuring robust observability, security, and cost-aware decisions while collaborating with product and engineering teams to move ideas from POC to

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