Unify Consulting

AI Engineer

• Design and develop LLM-powered applications using enterprise AI platforms (e.g., AWS Bedrock, Azure OpenAI / Azure AI platforms, Google Vertex AI).
• Implement multi-step orchestration workflows that translate user intent into reliable actions and explainable outputs.
• Build robust RAG pipelines (vector databases, embeddings, chunking strategies) and validate grounding quality.
• Design agent reasoning/control patterns (e.g., planning vs execution separation, tool calling, memory/context management).
• Integrate agents with tools/APIs and enterprise workflows with appropriate governance and guardrails.
• Create reusable prompt templates/libraries; implement prompt testing frameworks; establish prompt versioning/governance.
• Evaluate solutions for quality/safety/latency/cost and iterate quickly.
• Partner with platform/LLMOps teammates to deploy, monitor, and improve LLM systems in production.
• Build observability and reliability mechanisms for agent-based workflows.
• Lead technical discovery, map workflows/pain points, and communicate solutions to technical and executive stakeholders.