Software Engineer Agentic AI Platform

Dolby; Wrocław; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flex Work approach

Job summary

Dolby is building a centralized AI framework to empower teams with safe, cost-aware AI agents integrated into GitLab workflows. You will implement Lambda-based orchestration, connect Bedrock with CI/CD, and secure the environment with governance and observability tooling.

You’ll design knowledge bases, guardrails, and token routing while shipping agent capabilities for cross-team adoption. The role emphasizes extensibility, developer experience, and working across AWS services within a

Qualifications

• 3–5 years of professional experience in cloud-based Python development.
• Hands-on AWS services experience including Lambda, API Gateway, SQS, EventBridge, IAM, Secrets Manager, CloudWatch.
• Experience with Amazon Bedrock: Agents, Knowledge Bases, Guardrails.
• Hands-on experience integrating with LLM APIs (Bedrock, OpenAI, Anthropic) and CI/CD pipelines.

Responsibilities

• Build agent orchestration and Lambdas; integrate with Bedrock and GitLab CI/CD.
• Design and implement knowledge bases and guardrails for safe AI workflows.
• Instrument AWS resources with CloudWatch dashboards and tracing for observability.
• Develop shared tools and action groups backed by AWS Lambda.
• Ensure security via least-privilege IAM and robust input validation.
• Collaborate with teams to deploy a scalable developer platform.

Skills

Python

AWS SDK

LLM APIs

Security mindset

Observability

CI/CD familiarity

Tools

AWS Lambda

API Gateway

SQS

EventBridge

IAM

Secrets Manager

CloudWatch

Job description

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

About the role

We're building Dolby's Centralized Agentic AI Framework— a shared platform that brings safe, governed, cost-aware AI agents into every team's GitLab workflow.

You’ll be a hands‑on engineer building and extending this platform — writing the Lambdas that orchestrate agents, integrating Bedrock with GitLab CI, hardening the security and observability layers, and shipping new agent capabilities that any team can adopt without re-architecting.

What you’ll do

• Build agent orchestration— implement Router Lambdas, SQS-based queueing, and Bedrock Agent invocation
• Integrate with GitLab CI/CD— design .gitlab-ci.yml patterns where agent invocations run as pipeline stages, consume branch/diff/test context, emit artefacts, and gate downstream stages on agent pass/fail signals.
• Develop shared Action Groups— build the AWS Lambda-backed tools
• Design Knowledge Bases— iUtilise AWS Bedrock Knowledge Base / OpenSearch / S3 so agents reason over shared organizational context, not isolated prompts.
• Implement Bedrock Guardrails— input/output filters, sensitive-data scrubbing, content/word filters, and per-agent permission boundaries enforced by design.
• Implement TokenOps controls— model tiering and routing via an LLM gateway, semantic caching, context-window management
• Instrument everything in AWS— CloudWatch dashboards, audit trails, trace logging of every agent invocation (input, output, decision, tokens, cost) for compliance and debugging.

Required (3–5 years professional experience)

• Strong Python, AWS SDK Python for building production Lambda functions and event-driven services.
• Solid AWS experience: Lambda, API Gateway, SQS, EventBridge, IAM, Secrets Manager, CloudWatch.
• Amazon Bedrock specifically: Agents, Action Groups, Knowledge Bases, Guardrails.
• Hands‑on experience integrating with LLM APIs— Bedrock, OpenAI, Anthropic, or similar.
• Familiarity with CI/CD platforms— GitLab CI strongly
• A security mindset: least‑privilege IAM, secrets handling, input validation, awareness of prompt injection and data‑leak risks in LLM workflows.
• Comfortable with observability — structured logging, metrics, tracing — and writing code that's debuggable in production.

Nice to have

• Experience with SAST/DAST/SCA tools
• Experience building developer platforms or internal tooling — you've shipped something other engineers depend on daily.
• Familiarity with agent frameworks (Bedrock AgentCore) and their tradeoffs.

How you work

• You write small, focused services with clear contracts — not monoliths.
• You treat extensibility as a feature: new triggers/agents/tools shouldn't require touching unrelated layers.
• You think about the developer experience of the teams who'll use your platform, not just whether the code runs.
• You're comfortable with ambiguity — agentic systems are non‑deterministic, and you debug them empirically.