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Posted 5 days ago

GenAI DevOps Engineer / AI Engineer

@ Accion Labs

Canada

Contract
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SIGNALS

Overview

Accion Labs is hiring a contract GenAI DevOps and AI Engineer for LLMOps work on AWS AgentCore. The role builds and operates agent runtime environments, CI/CD and evaluation pipelines for LLM agents, with requirements around GitHub Actions, Terraform, Python and LLM evaluation.

Responsibilities:

  • Set up and operate AgentCore runtime environments
  • Build CI/CD pipelines with GitHub Actions and Terraform
  • Design evaluation pipelines and LLM-as-judge systems
  • Integrate evaluations as CI gates

Requirements summary:

  • Hands-on AgentCore runtime deployment and VPC mode experience
  • Strong AWS, IAM and container image skills
  • Python proficiency
  • Experience with golden datasets and LLM evaluation

Tools & skills

Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-05
First seen by our source
2026-11-10
Source record updated
2026-11-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

DepartmentSoftware development
Work settingOffice, Home
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Accion Labs

FieldValue
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Job description

On LLMOp/DevOps they are looking for people who have setup and operated the Agentcore runtime environment.

DevOps

MUST

  • AI-DLC practices
  • Agentic code generation (Claude Code SDK, Kiro CLI) with human-in-the-loop checkpoints
  • GitHub Actions: reusable workflows, environments and approvals, OIDC federation to AWS
  • Container image builds and Amazon ECR (AgentCore Runtime requires ARM64 images)
  • AgentCore Runtime deployment (versions, endpoints, rollback) and VPC mode
  • VPC endpoints / PrivateLink and security groups
  • Event-driven automation: EventBridge, Lambda, Step Functions
  • Terraform
  • IAM for CI/CD

SHOULD

  • AgentCore Gateway rate limits and PortKey admin API (kill switch)
  • Game-day practice with audit evidence
  • Image signing (Cosign)
  • Python

COULD

  • Strands Agents SDK
  • Backstage templates
  • ROSA / OpenShift networking (later phase)
  • AI eng

MUST

  • AgentCore Evaluations and Bedrock evaluation
  • Golden-dataset design and curation with SMEs
  • LLM-as-judge design and calibration against human labels
  • Integrating evaluations as a CI gate
  • Langfuse / OpenTelemetry
  • Python

SHOULD

  • RAGAS or equivalent
  • Trajectory evaluation
  • Understanding of agentic red-teaming results (to feed them into the gate)

COULD

  • Bedrock Guardrails
  • Sampling design for continuous evaluation
  • Strands Agents SDK
Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

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