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 Retrieval-Augmented Generation (RAG) pipelines.
Develop and integrate agentic AI solutions with orchestration patterns, MCP servers/clients, tools, APIs, and multi-agent workflows.
Architect and deploy full stack AI solutions on cloud platforms (AWS/Azure) collaborating with engineering teams to integrate AI in production systems.
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 in Python and/or .NET backend and React frontend.
Experience with cloud platforms AWS (Bedrock, Lambda, S3) and/or Azure (Azure OpenAI, Azure ML, AKS) and building RAG pipelines and vector databases.
Ideal Candidate Profile
Experienced in designing and implementing complex AI application architectures involving LLMs, agentic workflows, and multi-agent orchestration.
Proficient in integrating AI models with cloud services and production deployment pipelines in scalable environments.
Skilled in prompt engineering, LLM evaluation, and REST API development enabling robust AI system performance and usability.