Whiztekcorp is a trusted IT consulting and staffing firm delivering high-quality technology solutions to enterprise clients across the United States. We specialize in connecting top-tier engineering talent with long-term, impactful projects.
Our client is a leading airlines company, operating large-scale, mission-critical systems that support airline operations, customer experience, and digital transformation initiatives.
Job Description
Whiztekcorp is seeking a Gen AI Engineer to support our client . The ideal candidate will work in a fast-paced enterprise environment, contributing to the design, development, and support of scalable, secure, and high-performing applications.
About the Role
We are seeking an experienced Senior GenAI Engineer to design, build, and deploy advanced generative AI solutions. This role is highly hands-on and focuses on developing prototypes, proof-of-concepts (PoCs), and MVPs that evolve into scalable, production-grade AI products.
You will collaborate with cross-functional teams to solve complex problems using the latest advancements in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-modal systems.
Education (Preferred)
PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field
Exceptional candidates with a Master’s degree and strong industry experience will also be considered
Key Skills & Experience
AI & Machine Learning
Strong foundation in AI, machine learning, and deep learning
Experience applying AI/ML/GenAI techniques to real-world business problems
Programming & GenAI Tools
Expert-level proficiency in Python
Hands-on experience with Hugging Face, LangChain, and OpenAI APIs
Experience building, fine-tuning, and optimizing LLMs and foundation models
RAG & Vector Databases (Highly Preferred)
Strong experience with Retrieval-Augmented Generation (RAG) architectures
Hands-on experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or similar
Experience building RAG pipelines, embeddings, knowledge retrieval systems, and evaluation workflows
Deep Learning Frameworks
Cloud & Model Platforms
Familiarity with Google Model Garden, Amazon Bedrock, and Nvidia NIM
Experience deploying, scaling, and monitoring models on cloud platforms
Multi-Modal & Agent Systems
Experience working with text, image, audio, or video models
Background in building agent-based systems or multi-modal AI applications
Who We’re Looking For
A self-driven engineer passionate about solving advanced AI challenges
Strong interest in experimentation, rapid prototyping, and innovation
Collaborative team member with strong communication and problem-solving skills
Ability to thrive in a fast-paced and evolving environment
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