AI Engineer

symphony.is

. Develop advanced GenAI workflows that analyze and transform different types of legacy code into modern implementations.

Posted 9/23/2026full-timeBosnia & HerzegovinaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing advanced GenAI workflows and implementing language-specific parsers to modernize legacy systems. Proficient in building intelligent systems and verification frameworks while collaborating effectively with global teams.

Highest-signal resume keywords

Python ProficiencyAI Agent DevelopmentRESTful API DesignCloud Environment ExperienceMicroservices Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringLegacy Code ModernizationML Model IntegrationTool IntegrationOrchestrationVerification FrameworksFeedback Loop SystemsLanguage-Specific ParsersBusiness Logic ExtractionTechnical Pattern Analysis

Soft Skills

CollaborationRemote TeamworkAdvanced English Communication

Tools & Technologies

DockerKubernetesAWSGCPAzureCI/CD PipelinesJIRA

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Software Engineering

Industry Keywords

GenAI WorkflowsModernization EcosystemAgentic SolutionsFunctional EquivalenceMicroservices

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesPythonReact

About the role

Key responsibilities & impact

Develop advanced GenAI workflows that analyze and transform different types of legacy code into modern implementations.
Create specialized prompting frameworks that extract business logic and technical patterns from legacy systems.
Implement language-specific parsers and analyzers that extract critical information from legacy technologies.
Build intelligent systems that decompose complex legacy patterns into equivalent modern implementations.
Design verification frameworks ensuring functional equivalence between legacy and modernized systems.
Develop feedback loop systems that improve transformation accuracy based on verification results.
Collaborate with global team members and teams working on complementary agentic solutions to create a cohesive modernization ecosystem.

Requirements

What you’ll need

Bachelor's degree in Computer Science/Software Engineering.
6+ years of professional experience in Software Engineering.
Strong proficiency in Python (experience with React.js is a plus).
Hands-on experience building AI agents / agentic workflows, including orchestration, tool integrations and productionizing POCs.
Experience with ML model integration and operationalization is valuable.
Experience designing and building RESTful APIs.
Familiarity with Docker, Kubernetes, and microservices architecture.
Experience working in cloud environments (AWS, GCP, Azure).
Experience with Azure infrastructure and CI/CD pipelines.
Experience with issue-tracking systems (e.g., JIRA).
Advanced written and spoken English.
Ability to collaborate remotely across global, diverse teams.

Benefits

Comp & perks

Hybrid work arrangement
Remote collaboration across global, diverse teams
Opportunity to work with worldwide industry leaders
Opportunity to contribute to an AI-first global product, design, and development company
Opportunity to work on complex digital challenges and agentic modernization solutions