Generative AI Solutions Engineer
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Generative AI engineering meets a hybrid schedule with three office days weekly, focused on practical solutions for productivity, automation, and decisions.
As an Applied AI Engineer, you will accelerate Generative AI adoption within a major organization. You will translate business requirements into solutions while developing assistants, copilots, APIs, and integrations. Your work includes RAG, semantic search, and workflow orchestration.
Key Responsibilities:
- Translate business requirements into robust AI solutions
- Develop proofs of concept, prototypes, and reference applications
- Build AI assistants, copilots, and agentic workflows
- Implement RAG with vector databases and semantic search
- Develop APIs, integrations, and enterprise connectors
Requirements:
- Three to five years of software engineering experience
- One to three years developing Generative AI applications
- Strong Python and API development skills
- Hands-on LLM, RAG, embeddings, and semantic search experience
- Understanding of Responsible AI, governance, and security practices
Apply your Python, RAG, and Generative AI experience to build reusable solutions as an Applied AI Engineer.