Description

• Ability to craft structured prompts, apply reasoning patterns, manage memory, and control agent behavior for accurate, reliable outputs.

• Hands-on experience building autonomous workflows using tools to orchestrate agents.

• Designing agents that can invoke APIs, query databases, and interact with enterprise tools to perform real-world actions beyond text generation.

• Strong coding skills to implement orchestration logic, handle async workflows, error handling, and integrate AI capabilities into applications.

• Understanding embeddings, vector search, RAG pipelines, model limitations, and how to ground LLM responses in enterprise data.

• Building multi-step, multi-agent systems with task decomposition, state tracking, and event-driven execution.

• Deploying scalable agent systems on AWS/Azure, using containers, managing CI/CD pipelines, and ensuring performance and reliability.

• Handling sensitive data, preventing prompt injection, enforcing guardrails, and ensuring compliance with enterprise policies.

• Monitoring agent performance, logging decisions, testing outputs, and iterating using feedback loops and metrics.

• Designing agents with clear business outcomes, usability, and ROI in mind-not just technical feasibility

Key Skills

Education

Any Gradute