Applied AI Engineer
- Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.
- 5+ years of software development experience with strong Python skills.
- 2 3+ years of hands-on experience building GenAI/LLM-based applications.
- Experience developing multi-step agent workflows using LangGraph or similar orchestration frameworks.
- Proficient in designing retrieval pipelines: document loaders, chunking strategies, embedding models, and vector database integration.
- Strong grasp of GenAI concepts, including:
- Retrieval-Augmented Generation (RAG)
- Embeddings & vector databases (e.g., FAISS, Pinecone, ChromaDB)
- Prompt engineering and fine-tuning
- LLM APIs (e.g., OpenAI, Claude, Gemini)
- Experience deploying cloud-native solutions using GCP and/or Azure.
- Solid understanding of API design, microservices, and software architecture patterns.
- Familiarity with version control systems (e.g., Git, Azure DevOps).
- Experience with Docker and Kubernetes.
- Demonstrated ability to build and scale AI/ML solutions from proof-of-concept to production.
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