Lead AI Security Engineer -APS
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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop AI-powered applications using LLMs including building and maintaining RAG pipelines and agentic workflows.
Develop and expose tools, APIs, and integrate multi-agent orchestration patterns for LLMs in production environments.
Architect, deploy, and collaborate on cloud-based full stack AI solutions using Python/.NET backend, React frontend, on AWS and/or Azure platforms.
Minimum Requirements
7–10 years of overall software development experience.
1–3 years of hands-on experience in AI/ML domain.
Strong full stack development skills: Python and/or .NET for backend; React for frontend.
Experience with cloud platforms AWS (Bedrock, Lambda, S3) and/or Azure (Azure OpenAI, Azure ML, AKS), RAG pipelines, vector databases, MCP/tool-calling patterns, agentic workflows, REST API development.
Ideal Candidate Profile
Experience working with cutting-edge LLM frameworks (LangChain, LangGraph, AutoGen) and building scalable agentic AI solutions.
Hands-on expertise in prompt engineering, LLM output evaluation, and context window management for production quality AI models.
Full stack cloud-native developer comfortable with multi-agent orchestration patterns and deploying integrated AI applications in complex environments.
