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Digital Engineer – GenAI
Arrow ElectronicsDigital Engineer (GenAI) responsible for building AI applications and implementing AI workflows. Collaborate with teams using frameworks like LangChain and GenAI for innovative solutions.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Design and build end-to-end AI applications using Python
- Develop and implement RAG (Retrieval-Augmented Generation) pipelines
- Build applications leveraging text, image, and multimodal AI capabilities
- Work with GenAI frameworks such as LangChain
- Design and implement agentic AI workflows and orchestration
- Develop context-aware systems using embeddings and retrieval strategies
- Implement document ingestion, indexing, and semantic search pipelines
- Collaborate with senior engineers, product teams, and stakeholders
Requirements
What you’ll need- 3+ years of hands-on experience in Python development
- Practical experience in building AI/ML or GenAI-based applications
- Strong proficiency in Python
- Hands-on experience with Agentic AI / AI agents RAG architectures Tool calling and MCP (Model Context Protocol)
- Experience with LangChain or similar GenAI frameworks
- Strong knowledge of prompt engineering
- Experience with vector databases and embeddings
- Familiarity with LLM APIs and integrations
- Basic understanding of REST APIs and backend development
- Exposure to cloud platforms (AWS / Azure / GCP) is a plus.
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
- Professional development
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI applicationsRAG pipelinesGenAI frameworksagentic AI workflowsembeddingssemantic searchprompt engineeringvector databasesREST APIs