GEN AI Engineer

About the Role

• ]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))] dir=auto tabindex=-1 data-turn-id=request-WEB:f0c3d6e2-4d2e-48d7-89ce-ab26096251f5-4 data-testid=conversation-turn-10 data-scroll-anchor=true data-turn=assistant> Whiztekcorp is seeking a Senior GenAI Engineer to support a healthcare industry client in building next-generation AI and Generative AI solutions. This role focuses on designing, prototyping, and deploying scalable GenAI systems that enhance healthcare operations, customer experience, and internal productivity. The ideal candidate is a hands-on engineer with strong AI/ML fundamentals and experience building production-ready GenAI applications.

Key Responsibilities

• Design, develop, and deploy GenAI solutions, prototypes, PoCs, and MVPs.
• Build intelligent applications using LLMs, multi-modal AI, and agent-based systems.
• Integrate GenAI models with enterprise systems and APIs.
• Develop scalable pipelines for model training, fine-tuning, and evaluation.
• Collaborate with product, data, and engineering teams to deliver AI-driven features.
• Optimize performance, cost, and reliability of AI systems in cloud environments.
• Ensure responsible AI practices, security, and compliance standards.
• Stay updated with emerging GenAI tools, frameworks, and best practices. Required Skills & Qualifications
• Strong foundation in AI/ML, deep learning, and NLP concepts.
• Expertise in Python and GenAI frameworks/tools.
• Hands-on experience with:
• Hugging Face
• LangChain / LlamaIndex
• OpenAI APIs or similar LLM platforms
• Experience with deep learning frameworks:
• PyTorch
• TensorFlow / Keras
• Experience building LLM applications, RAG pipelines, or AI agents.
• Familiarity with cloud AI platforms such as:
• AWS (Bedrock, SageMaker)
• Google Cloud (Vertex AI / Model Garden)
• Nvidia NIM
• Experience working with multi-modal data (text, image, audio).
• Strong problem-solving skills and ability to work in fast-paced environments.

Preferred Qualifications

• Experience in healthcare or regulated industries.
• Knowledge of MLOps and model deployment pipelines.
• Experience with vector databases (Pinecone, FAISS, Weaviate, etc.).
• Familiarity with Kubernetes, Docker, and CI/CD pipelines.
• Experience building enterprise-scale AI platforms.
• Strong communication and collaboration skills. Apply tot his job