Software Engineer – Full-Stack, Backend, Applied AI

Globaldev Group

Software Engineer developing agentic systems at the intersection of engineering and Applied AI. Focused on leading integrations and enhancing cloud-native structures within a remote team.

Posted 7/13/2026full-timeRemote • 🇺🇦 UkraineSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and building scalable microservices and agentic workflows using Python, with a strong focus on AI integration and operational observability. Proven ability to mentor engineers and drive engineering quality through AI-SDLC practices and rigorous code reviews.

Highest-signal resume keywords

Python ProficiencyAgentic Frameworks ExperienceCloud-Native Architecture DesignAI Integration SkillsBackend or Full-Stack Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptGoRustAWSKubernetesTerraformPostgreSQLDynamoDBMongoDB

Soft Skills

Excellent Communication SkillsAbility to Work Independently

Tools & Technologies

LangChainLangGraphCrewAIDeepAgentsOpenClawHermesClaude CodeCursorCopilotCI/CD

Industry Keywords

Agentic SystemsDistributed EnvironmentsEvent-Driven ArchitecturesAI-Native Development ToolsObservability

Tech Stack

Tools & technologies

AWSCloudDynamoDBGoGraphQLJavaScriptKubernetesMicroservicesMongoDBNext.jsPostgresPythonReactRustSDLCTerraformTypeScript

About the role

Key responsibilities & impact

Architect & Build: Design and deliver agentic workflows and scalable microservices, primarily using Python, within a distributed system architecture.
AI Integration: Lead the integration of Generative AI capabilities, including LLM APIs, RAG pipelines, and agentic workflows into our production systems.
Agentic Operations & Observability: Implement operational practices, observability, and autonomous monitors (e.g., detecting intelligence drift or hallucinations) to ensure AI reliability in production.
Elevate Engineering: Drive overall engineering quality and speed by implementing AI-SDLC practices, ensuring high standards through rigorous code reviews, test automation, and by establishing continuous, trace-based quality evaluation for all software and agentic components.
Mentor & Innovate: Evaluate emerging AI tooling, mentor fellow engineers, and contribute directly to our technical roadmap and Agentic AI-SDLC and Production Operations.

Requirements

What you’ll need

7+ years of backend or full-stack engineering experience, including 2+ years building production-grade agentic systems in distributed environments.
Strong proficiency in Python (preferred) or TypeScript/Go/Rust, with the ability to transition to Python.
Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or equivalent.
Proven expertise in designing cloud-native, event-driven architectures using AWS, Kubernetes, Terraform, CI/CD, GraphQL or REST APIs, and messaging systems (SQS/SNS).
Experience with PostgreSQL, DynamoDB, MongoDB, and preferably vector databases.
Familiarity with AI-native development tools such as Claude Code, Cursor, or Copilot.
Excellent communication skills and the ability to work independently in a highly autonomous environment.
Experience with React, Next.js, or similar frontend technologies.

Benefits

Comp & perks

Help and support from our caring HR team
15 working days of annual paid leave
The exchange of experience and work with talented colleagues
Last but not least - valuable compensation for your efforts