Tech Stack

Description

You will design and build GenAI use cases to solve real-world mission-critical problems for federal clients, collaborating with a team of experts to deliver innovative solutions. You'll develop and deploy generative AI models using various platforms and integrate them with cloud-based AI services.

Requirements

• Experience working with modern generative AI capabilities including large language models, transformer models, and retrieval-augmented generation
• Expertise in AI platforms (e.g., Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI, etc.)
• Experience with Google Cloud services (e.g., Document AI, Gemini, Gemma, Generative AI Language Models)
• Experience building RAG systems with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS)
• Experience using modern software languages (e.g., Python, SQL, Go) to develop generative AI solutions
• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance

Responsibilities

• Design and build GenAI use cases based on client's needs and specific data
• Develop and deploy generative AI models using platforms such as Amazon Kendra, Google Vertex AI, and AWS Bedrock
• Implement large language models (LLMs) and transformer models to create advanced AI applications
• Integrate solutions with cloud-based AI services such as Google Cloud Document AI, Google Cloud Gemini, Google Cloud Gemma, and Google Cloud Generative AI Language Models
• Utilize NVIDIA AI Foundations and OpenAI ChatGPT to develop and refine AI applications
• Leverage Databricks LLM and Databricks Mosaic AI for data analysis and AI model development