What are the responsibilities and job description for the Full stack developer position at TRIMAH TECHNOLOGIES LLC?
We are looking for only for GC's or USC's.
Position Overview :
We are currently hiring a Full Stack AI Engineer to support work at large, East-Coast based bank within their AI Cybersecurity Team.
Depth & Scope :
Using Azure AI services to deploy AI models / applications – Azure OpenAI, Azure Machine Learning, Azure AI Studio
Full Stack Engineering background
o Linux, Windows Sys Admin, Middleware, disciplines, Network Engineering, and some development
o Someone who can truly navigate the full stack
o Understands hardware to application layer
o How to wire AI engines into this environment, how to build the architecture
o Deployments in Azure
Strong Prompt Engineering, Python Development and REST API skills
Understanding of different GenAI LLMs, development frameworks (Langchain, Semantic Kernel), and AI ecosystem tooling (evaluation, monitoring, governance, security, vector databases)
Ability to identify and design approaches for creating guardrails to mitigate GenAI security / cyber risks
Deep understanding of major components of RAG applications, usage patterns, and optimization
LLM Fine-tuning approaches
Understanding the full lifecycle of AI model development, deployment
Tools for support large scale Inferencing
Solid understanding of machine learning algorithms, neural network architectures, and LLM model training processes
Knowledge of different Agentic frameworks
Familiarity with g Azure AI services – Azure OpenAI, Azure Machine Learning, Azure AI Studio
Solid understanding of machine learning algorithms, neural network architectures, and AI model training processes
Experience with adversarial machine learning techniques and familiarity with common attack vectors against AI systems
Familiarity with AI ethics and bias in AI systems
Knowledge of techniques for interpreting and explaining AI model decisions
Ability to identify and design approaches for creating guardrails to mitigate GenAI security / cyber risks & adversarial attacks
Knowledge of OWASP and NIST GenAI security guidelines & policies
Understanding the different areas of evaluation for a RAG system
LLM model evaluation tooling (e.g. Using LLMs-as-a-judge)
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