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Software Engineer – AI Focus
JUSTROCKET. Design, develop, and deliver AI-powered features end-to-end, from proof of concept to production .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML development, including LLM integration and data pipeline management, while effectively collaborating with cross-functional teams to deliver high-quality solutions. Proficient in modern software engineering practices and capable of communicating complex technical concepts to diverse stakeholders.
Highest-signal resume keywords
AI/ML DevelopmentLLM IntegrationLangChain/LangGraphAzure OpenAI ServicesSoftware Engineering Fundamentals
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML ExperienceData Pipeline ManagementML Model DeploymentSoftware Engineering FundamentalsArchitectural Decision Records
Soft Skills
Communication SkillsCollaboration
Tools & Technologies
OpenAI APIsVector DatabasesPgvector/RAG ArchitecturesWeb FrameworksTypeScript
Industry Keywords
Document ProcessingRoot-Cause AnalysisERP IntegrationsMES IntegrationsIndustrial Software
Tech Stack
Tools & technologiesAzureERPTypeScript
About the role
Key responsibilities & impact- Design, develop, and deliver AI-powered features end-to-end, from proof of concept to production
- Evaluate and integrate AI/ML services, APIs, and open-source models
- Solve customer problems involving document processing, root-cause analysis, and ERP/MES integrations
- Shape the AI/ML technology stack, tools, frameworks, and architecture
- Build and maintain evaluation frameworks for AI output quality, reliability, and safety
- Collaborate with product and engineering teams
- Identify high-impact AI opportunities
- Grow AI competency across the team
- Work with product owners, UX/UI, and the overall development team
Requirements
What you’ll need- 5+ years of experience as a Software Engineer with proven hands-on AI/ML experience
- Experience with LLM integration, data pipelines, or ML model deployment
- Strong software engineering fundamentals and modern development practices
- Experience with LangChain/LangGraph, vector databases, and OpenAI APIs
- Familiarity with TypeScript and web frameworks
- Ability to move from proof of concept to production
- Ability to communicate technical trade-offs to technical and non-technical stakeholders
- Experience with Azure OpenAI Services, LangGraph, and pgvector/RAG architectures is nice to have
- Background in industrial or manufacturing software, MES, or ERP integrations is nice to have
- Experience writing architectural decision records or cost/build-vs-buy analyses is nice to have
Benefits
Comp & perks- Assistance in setting up the project/integrating with the team
- A role with real ownership and architectural influence from day one
- Free choice of hardware
- 25 days of vacation
- Flexible working hours including remote options
- A personal development budget
- Possibility to work remote with a flexible hybrid mode
- Company-wide events
- Collaborative team culture