The Role
Build and support AI and DevOps platforms using production-grade Python, LLM orchestration, agent loops, prompt evaluation, CI/CD automation, GitLab pipelines, and REST/OpenAPI services. The role emphasizes infrastructure engineering, deployment environments, security automation, monitoring, source control, containers, Kubernetes, and infrastructure as code.
Summary Generated by Built In
Consultant
Primary Skills
- Zendesk, DevOps - Nagios, Ansible, Azure DevOps, CA Release Automation Manager, AWS DevOps, DevOps - Puppet, Terraform, Splunk, Sonarqube, DevOps - Git, DevOps - Jenkins, GitHub / Gitlab, DevOps - Docker, Kubernetes
Specialization
- DevOps Infrastructure Engineering: Engineer, Systems & Storage
Job requirements
- AI Platform Engineer GitLab, CI/CD, deployment, environments DevSecOps / GitLab Platform Engineer GitLab pipelines, runners, security, automation We are looking for these types of skillsets: 1. Python (production-grade, not notebooks), 2. LLM orchestration frameworks any is fine (LangGraph, LangChain, or Gitlab, Bedrock, Cortex) 3. Agent loops, state machines, ReAct patterns 4. Prompt engineering as an engineering discipline (versioning, testing and evaluation) 5. CI/CD (any - Although Gitlab heavily preferred), 6. API design & REST/OpenAPI We are looking for these types of skillsets: 1. Python (production-grade, not notebooks), 2. LLM orchestration frameworks any is fine (LangGraph, LangChain, or Gitlab, Bedrock, Cortex) 3. Agent loops, state machines, ReAct patterns 4. Prompt engineering as an engineering discipline (versioning, testing and evaluation) 5. CI/CD (any - Although Gitlab heavily preferred), 6. API design & REST/OpenAPI We are looking for these types of skillsets: 1. Python (production-grade, not notebooks), 2. LLM orchestration frameworks any is fine (LangGraph, LangChain, or Gitlab, Bedrock, Cortex) 3. Agent loops, state machines, ReAct patterns 4. Prompt engineering as an engineering discipline (versioning, testing and evaluation) 5. CI/CD (any - Although Gitlab heavily preferred), 6. API design & REST/OpenAPI
Skills Required
- Production-grade Python development experience
- Experience with an LLM orchestration framework such as LangGraph, LangChain, GitLab, Bedrock, or Cortex
- Understanding of agent loops, state machines, and ReAct patterns
- Prompt engineering including versioning, testing, and evaluation
- CI/CD experience
- GitLab CI/CD experience
- API design experience with REST and OpenAPI
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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