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Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end development and deployment of AI automation/agent systems with hands-on coding responsibility.
Design and implement cloud-based AI architectures, preferably utilizing AWS and large language model (LLM) orchestration patterns.
Select and optimize AI/LLM models based on task requirements balancing capability, latency, and cost, including code generation and validation aspects.
Minimum Requirements
Senior-level experience with building automation or AI agent systems, including production deployment.
Strong cloud engineering skills; experience with AWS preferred but not mandatory.
Practical, hands-on expertise with LLM and agentic architecture patterns (orchestration, tool-use, RAG).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Operates autonomously on greenfield AI automation projects with direct code ownership and delivery.
Experienced in evaluating and selecting among diverse AI models and frameworks based on practical tradeoffs.
Skilled in leveraging AI for software development lifecycle tasks including code generation, debugging, testing, and documentation.