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abra

AI Developer

abra

Location
Onsite (Center, Center District)
Employment
Full-time
Level
Mid Level
Posted 5 days ago

About the Role

abra is seeking a Hands-on AI Developer to join their Data & AI Division. The role involves designing, developing, and deploying cutting-edge AI solutions, including intelligent agents and RAG pipelines, to drive innovation.

Skills

AI Development LangGraph LangChain LlamaIndex Semantic Kernel Docker Azure Functions CI/CD RAG Architectures LLMs API Integration Azure AI Document Intelligence OCR Cloud Services AI Automation Python

Full job details

abra is hiring for our Data & AI Division!

We are looking for a Hands-on AI Developer to join our growing team and lead the development and implementation of cutting-edge AI solutions.

What you'll do:

  • Design, develop, and deploy AI solutions end-to-end
  • Build intelligent AI Agents and AI-driven automations
  • Develop RAG pipelines, semantic search capabilities, and information extraction processes
  • Integrate AI solutions with enterprise systems through APIs and cloud services
  • Work with documents, databases, structured and unstructured data sources
  • Develop custom AI components using platforms such as Microsoft Foundry, OpenAI Platform, Claude Platform, Amazon Bedrock, Google Vertex AI Agent Builder, and Microsoft Copilot Studio
  • Perform testing, debugging, monitoring, and optimization to ensure production-ready solutions

Requirements

  • ✔ 3+ years of relevant experience in AI, software development, or related technical roles
  • ✔ Hands-on experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, or Microsoft Agent Framework
  • ✔ Experience with Docker and cloud services such as Azure Functions, App Service, Container Apps, Cloud Run, AWS Lambda, or similar technologies
  • ✔ Experience with CI/CD processes, monitoring, logging, quality assurance, guardrails, and AI solution evaluation
  • ✔ Experience with Azure AI Document Intelligence, OCR technologies, LlamaParse, unstructured.io, or similar document processing tools
  • ✔ Strong understanding of LLMs, Agents, APIs, RAG architectures, and AI automation frameworks
  • ✔ Excellent problem-solving skills and the ability to translate business requirements into scalable AI solutions