AI Engineering Lead
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Job Description
• Architect and lead the implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems.
• Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.
• Oversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost-efficiency.
• Establish best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).
• Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.
• Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production ownership.
• Mentor and guide junior and mid-level engineers, ensuring high-quality, modular, and maintainable Python code standards.
• Drive experimentation strategies, define KPIs, and promote data-driven decision-making across AI initiatives.
Requirements
Function: Marketing
Experience Level: Mid-Senior Level