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AI Engineer
Expleo Group. Discuss needs directly with clients, investigate incomplete requirements, ask focused questions and propose practical solutions and trade-offs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong software engineering fundamentals with a focus on Generative AI and LLM-based solutions, integrating APIs and managing operational behavior. Capable of designing maintainable backend services and implementing user interfaces while collaborating effectively with stakeholders.
Highest-signal resume keywords
Generative AI SolutionsLLM API IntegrationBackend Service DesignAzure DeploymentFrontend Development with React
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Engineering FundamentalsApplication DesignData HandlingError HandlingTesting and DebuggingRAG ImplementationEmbeddingsAgentic AIContext ManagementFrontend Interface Implementation
Soft Skills
Client CommunicationProblem SolvingCollaboration
Tools & Technologies
AzureDevOpsGitHub CopilotCodexClaude Code
Industry Keywords
Machine LearningAI-related RolesDocument IngestionBusiness WorkflowsOperational Behavior
Tech Stack
Tools & technologiesAzureJavaScriptReactTypeScript
About the role
Key responsibilities & impact- Discuss needs directly with clients, investigate incomplete requirements, ask focused questions and propose practical solutions and trade-offs
- Understand existing systems through documentation, specifications and code, then independently plan and deliver features
- Design and implement maintainable backend services, APIs, data flows and user interfaces for document ingestion and other business workflows
- Integrate LLM services and combine retrieval, embeddings and agentic workflows into reliable applications
- Manage context, rate limits, failures, cost and latency
- Write tests, debug issues and review code
- Evaluate AI outputs and implement appropriate guardrails and human review where needed
- Support deployment, monitoring and troubleshooting in Azure
- Collaborate with DevOps specialists and handle basic delivery tasks independently where needed
- Work directly with stakeholders to take solutions from discovery and design through implementation, deployment and operation
Requirements
What you’ll need- Strong software engineering fundamentals: application design and structure, separation of responsibilities, APIs, data handling, error handling, testing and debugging
- 5+ years of experience in software engineering, machine learning or AI-related roles
- At least 2 years focused on Generative AI and LLM-based solutions
- Experience delivering GenAI features in production, beyond proof-of-concept or personal projects, with responsibility for integration and operational behaviour
- Hands-on experience using RAG, embeddings and Agentic AI together in a solution
- Practical use of LLM APIs, prompting and context management, including rate limiting, error recovery and optimisation of cost, latency and reliability
- Practical AI-assisted development with at least one tool such as GitHub Copilot, Codex or Claude Code, using critical judgement, code review and tests to verify generated code
- Basic hands-on Azure and DevOps skills
- Ability to implement usable frontend interfaces, for example with React, TypeScript or JavaScript
- Job based in Bucharest or Iasi, 2 day per week at the office
Benefits
Comp & perks- Benefit Platform
- Holiday Voucher
- Private medical insurance
- Performance bonus
- Easter and Christmas bonus
- Employee referral bonus
- Bookster subscription
- Work from home options depending on project