Software Engineer Agentic AI Platform Orchestrator

Dolby Laboratories

Wrocław

On-site

PLN 180,000 - 280,000

Full time

6 days ago
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Benefits offered by this job

Flex Work arrangement
Competitive compensation and benefits

Job summary

Dolby Poland is hiring for a role focused on building a centralized Agentic AI framework that integrates with GitLab CI/CD and Bedrock services. You will design agent orchestration, knowledge bases, and guardrails to ensure secure, cost-aware AI agents across our workflows.

Ideal candidates have 3–5 years of professional AWS and Python experience, with hands-on Bedrock and LLM API integration. A proactive security mindset and experience with observability are essential for production-grade

Qualifications

  • Proficient Python development for production Lambda functions and event-driven services.
  • Hands-on experience with AWS Bedrock including Agents, Action Groups, Knowledge Bases, Guardrails.
  • Experience integrating with LLM APIs (Bedrock, OpenAI, Anthropic) and CI/CD pipelines.
  • Strong security mindset: least-privilege IAM, secrets handling, input validation, prompt-injection awareness.

Responsibilities

  • Build agent orchestration — implement Router Lambdas, SQS-based queueing, and Bedrock Agent invocation.
  • Integrate with GitLab CI/CD — design .gitlab-ci.yml patterns for agent invocations in pipeline stages.
  • Develop shared Action Groups — AWS Lambda-backed tools.
  • Design Knowledge Bases — use Bedrock Knowledge Base / OpenSearch / S3 for context.
  • Implement Bedrock Guardrails — input/output filters and data scrubbing.
  • Implement TokenOps controls — model routing and caching.
  • Instrument AWS — CloudWatch dashboards, audit trails, and tracing.

Skills

Python
AWS SDK
CI/CD
Security mindset
Observability

Tools

AWS Lambda
SQS
EventBridge
Bedrock
OpenAI API
Anthropic API
GitLab CI

Job description

Dolby Poland is hiring for a role focused on building a centralized Agentic AI framework that integrates with GitLab CI/CD and Bedrock services. You will design agent orchestration, knowledge bases, and guardrails to ensure secure, cost-aware AI agents across our workflows.

Ideal candidates have 3–5 years of professional AWS and Python experience, with hands-on Bedrock and LLM API integration. A proactive security mindset and experience with observability are essential for production-grade

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