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Agentic AI Engineer with AWS

Posted 1 day ago by Swanktek Inc

JD:

Main focus:- Agentic AI + LangGraph/LangChain + MCP (Model Context Protocol) + RAG + AgentOps + Python and Bedrock/AgentCore + AWS

Responsibilities:

  • Design and implement AI agents and multi-agent workflows using Strands, LangGraph, and Amazon Bedrock AgentCore.
  • Build MCP integrations with enterprise systems and APIs.
  • Implement evaluation, monitoring, tracing, and operational controls using OpenTelemetry, ADOT, CloudWatch, DeepEval, RAGAS, and Bedrock Evaluation.
  • Optimize latency, reliability, scalability, and cost of production AI solutions.
  • Define release, governance, and operational processes for agent lifecycle management.
  • AgentCore-based orchestration, guardrails, evaluation, observability, and governance are foundational platform capabilities.
  • Working hands on understanding of Evaluation framework like DeepEvals, Ragas, and Bedrock evals
  • Develop and manage MCP (Model Context Protocol) integrations with enterprise systems and tools.

Required Technical Skills

  • Cloud skills
  • AWS Architecture & Multi-Account Strategy
  • AWS Organizations, Control Tower & SCPs
  • AWS CDK and/or Terraform
  • GitLab/GitHub CI/CD
  • Docker & Amazon ECR
  • IAM Identity Center, OAuth/OBO
  • DynamoDB, S3
  • CloudWatch, CloudTrail, OpenTelemetry, ADOT
  • VPC Endpoints / PrivateLink
  • Cloud Security & Production Operations

Agentic AI

  • Amazon Bedrock & AgentCore
  • Strands and/or LangGraph
  • MCP Integrations
  • AgentOps & AI Observability
  • DeepEval, RAGAS, Bedrock Evaluation
  • RAG and Knowledge Bases
  • REST APIs & Enterprise Integrations

Preferred Qualifications

  • AWS Certified Solutions Architect / AWS DevOps Engineer Certification.
  • Experience building enterprise-scale Agentic AI platforms with strong deployment experience
  • Strong expertise in Python and cloud-native application development.
  • Experience with event-driven architectures and microservices.
  • Exposure to AI governance, security, and responsible AI practices.
  • LangGraph / LangChain expertise
  • AWS Bedrock Knowledge Bases
  • Amazon API Gateway
  • AWS Lambda, Step Functions, API gateway
  • Vector databases and RAG architectures
  • Kubernetes / EKS
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified

Take-Home Pay

Not Available

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