Keylent Inc
MLOps with AgentCore
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer with a contract length of "unknown," offering a pay rate of "$X/hour." Key skills include Python, Terraform, CI/CD, AWS Security, and multi-agent orchestration. AWS certification is required. Experience in AI technologies is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 29, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Reading, PA
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🧠 - Skills detailed
#Deployment #Lambda (AWS Lambda) #API (Application Programming Interface) #AI (Artificial Intelligence) #IAM (Identity and Access Management) #Infrastructure as Code (IaC) #Security #Terraform #DynamoDB #DevOps #AWS (Amazon Web Services) #Python #Cloud
Role description
Job Title: XOps Engineers
No of positions: 2
Skill sets:
Python(3.11+) hands-on experience building robust applications and agentic logic.
Infrastructure as Code (IaC): Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases,DynamoDB, Lambda etc.
CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications.
AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.
AWS Bedrock AgentCore (2025): Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, CrewAI, or AutoGen.
Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.
AWS Certification: Must hold at least one of the following: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, or AWS Certified AI Practitioner.
Willingness to learn emerging AI technologies, frameworks, and evolving cloud services
Job Title: XOps Engineers
No of positions: 2
Skill sets:
Python(3.11+) hands-on experience building robust applications and agentic logic.
Infrastructure as Code (IaC): Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases,DynamoDB, Lambda etc.
CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications.
AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.
AWS Bedrock AgentCore (2025): Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.
Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, CrewAI, or AutoGen.
Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.
AWS Certification: Must hold at least one of the following: AWS Certified Solutions Architect – Associate, AWS Certified Developer – Associate, or AWS Certified AI Practitioner.
Willingness to learn emerging AI technologies, frameworks, and evolving cloud services
