Developer III (AI)

Job Description:

Responsibilities

•  Technical Strategy & Architecture 
•  Own the end-to-end architecture for AI products and platforms: 
•  Model selection strategy (Google vs. OpenAI, small vs. large models) 
•  Multi-agent and workflow orchestration patterns (responder/thinker pattern, tool calling, agentic frameworks) 
•  Data and retrieval architecture (RAG, hybrid search, knowledge graphs, semantic caching) 
•  Evaluate and introduce emerging technologies such as: 
•  Next-generation LLMs and multimodal models 
•  Real-time streaming infrastructures 
•  Advanced agent frameworks, workflow engines (e.g., Agents SDK, Google ADK, LangGraph, etc.) 
•  Platformization & Reusable Capabilities 
•  Design and lead the implementation of shared AI services and SDKs: 
•  Reusable RAG pipelines and ingestion frameworks 
•  Common UI components and design patterns for AI copilots and agents 
•  Modular reusable coding practices for agentic back-end processes 
•  Establish standards and best practices for: 
•  Prompt design and versioning 
•  Model and retrieval evaluation 
•  Observability, logging, and incident response for AI systems. 
•  Leadership & Mentoring 
•  Provide hands-on technical leadership to AI Engineers, ML Engineers, and Data Scientists .

Qualification & Experience

• Typically 8+ years of experience in Software Engineering, ML Engineering, or Data Science, with 3+ years hands-on in Applied AI/LLMs and at least 2+ years in a senior/lead role.
• Deep expertise in:
• Python and TypeScript/JavaScript in production environments
• Designing and operating distributed, cloud-native systems (GCP, Azure, or AWS)
• Containerization and orchestration (Docker, Kubernetes) and modern CI/CD.