Keylent Inc
MLOps with AgentCore
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer with 2 positions available. Contract length is unspecified, offering a pay rate of "unknown." Key skills required include Python, Terraform, AWS services, and familiarity with AWS Bedrock AgentCore. AWS Certification is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Reading, PA
-
🧠 - Skills detailed
#IAM (Identity and Access Management) #API (Application Programming Interface) #AI (Artificial Intelligence) #Cloud #AWS (Amazon Web Services) #Infrastructure as Code (IaC) #Lambda (AWS Lambda) #DevOps #DynamoDB #Security #Deployment #Python #Terraform
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
