Job Summary
Skill RequirementAI Agent Frameworks (Google ADK)Hands-on experience building and refining agents using Google ADK or similar frameworks; agent architecture, tools, workflows, memory and multi-agent patterns.Prompt Engineering & Agent DesignAbility to decompose business tasks, design prompts, implement agent patterns, tool usage, guardrails and reusable components.AI / LLM EngineeringUnderstanding of LLMs, RAG, embeddings, vector databases, model selection, hallucination control, safety and evaluation methods.Software Engineering & CodingStrong Python and API integration skills; modular design, debugging, error handling, automated testing and engineering best practices.AI Testing & OptimizationContinuous functional and regression testing, evaluation metrics, performance tuning and incorporation of end-user feedback.
Key Responsibilities
Skill RequirementAI Agent Frameworks (Google ADK)Hands-on experience building and refining agents using Google ADK or similar frameworks; agent architecture, tools, workflows, memory and multi-agent patterns.Prompt Engineering & Agent DesignAbility to decompose business tasks, design prompts, implement agent patterns, tool usage, guardrails and reusable components.AI / LLM EngineeringUnderstanding of LLMs, RAG, embeddings, vector databases, model selection, hallucination control, safety and evaluation methods.Software Engineering & CodingStrong Python and API integration skills; modular design, debugging, error handling, automated testing and engineering best practices.AI Testing & OptimizationContinuous functional and regression testing, evaluation metrics, performance tuning and incorporation of end-user feedback.
Skill Requirements
Skill RequirementAI Agent Frameworks (Google ADK)Hands-on experience building and refining agents using Google ADK or similar frameworks; agent architecture, tools, workflows, memory and multi-agent patterns.Prompt Engineering & Agent DesignAbility to decompose business tasks, design prompts, implement agent patterns, tool usage, guardrails and reusable components.AI / LLM EngineeringUnderstanding of LLMs, RAG, embeddings, vector databases, model selection, hallucination control, safety and evaluation methods.Software Engineering & CodingStrong Python and API integration skills; modular design, debugging, error handling, automated testing and engineering best practices.AI Testing & OptimizationContinuous functional and regression testing, evaluation metrics, performance tuning and incorporation of end-user feedback.