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About the role
Key Responsibilities • Work with business and technology stakeholders to understand Generative AI use cases and translate requirements into practical implementations. • Develop proofs of concept, prototypes, and reference applications that demonstrate business value and accelerate AI adoption. • Build and enhance AI-powered applications, copilots, assistants, and agentic workflows. • Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories, vector databases, embeddings, semantic search, and retrieval techniques. • Develop AI agents and orchestration workflows using frameworks such as LangGraph, LangChain, Semantic Kernel, Claude Code SDK, OpenAI SDK, or similar technologies. • Implement prompt engineering techniques, structured outputs, tool calling, context management, and workflow orchestration patterns. • Build APIs, connectors, and integrations between AI applications and enterprise systems, data platforms, and business workflows. • Create reusable components, templates, implementation patterns, and developer examples that help application teams deliver AI solutions more efficiently. • Develop automated tests and evaluation capabilities to measure solution quality, grounding, reliability, safety, and performance. • Troubleshoot implementation issues and support application teams as prototypes and re
Skills
Role details
- Employment type
- Full-time
- Openings
- 1
About Synechron
American financial technology company
Building hiring record
0 applications handled on hiARed so far. Scores appear after 10, so one hire cannot skew them.
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