Job Description & How to Apply Below
Lead and actively contribute to the development of AI products, pilots, and enterprise solutions with a focus on writing clean, maintainable code.
Architecture & Design:
Design and architect scalable Generative AI solutions, including LLM pipelines, Agentic workflows, Model Context Protocol (MCP), Graph/RAG architectures, and complex prompt-based applications.
Cloud
Infrastructure: Implement highly scalable, cloud-native solutions leveraging modern AWS services.
Optimization &
Innovation: Optimize the performance of production AI products. Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and emerging tool chains.
10 + years of progressive engineering experience.
1–2 years of direct experience leading emerging technology or enterprise AI initiatives.
Strong familiarity with the full Software Development Life Cycle (SDLC) best practices and Dev Sec Ops protocols.
Generative AI & LLMs:
Core proficiency with commercial and open-source models (GPT, Claude, Gemini, LLaMA), advanced prompt engineering, and LLM fine-tuning techniques.
AI Frameworks & Architectures:
Deep hands‑on experience with Lang Chain, Llama Index, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.
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