What are the responsibilities and job description for the Lead Gen AI Engineer position at OmegaHires?
Lead Gen AI Engineer
**Job Role:** Lead Gen AI Engineer with Python **Location:** Phoenix, AZ (Hybrid) **Job Description:** We are looking for a Lead Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and development of enterprise AI solutions. The ideal candidate will have hands-on experience in preparing and engineering enterprise data for AI use cases, building scalable RAG pipelines, implementing autonomous AI agents, and integrating Large Language Models (LLMs) into production environments. This is a hands-on technical leadership role deep knowledge of AI architecture, data preparation, prompt engineering, vector databases, and modern AI frameworks. ** Skills** - 8 years of software development experience with Python. - 3 years of hands-on experience delivering Generative AI solutions. - Strong expertise in Retrieval-Augmented Generation (RAG) architecture and implementation. - Hands-on experience building Agentic AI solutions using LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, or Semantic Kernel. - Experience preparing, processing, and engineering structured and unstructured enterprise data for AI use cases. - Strong understanding of document ingestion, chunking strategies, embeddings, metadata enrichment, and vector search. - Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus. - Experience integrating LLMs including OpenAI, Azure OpenAI, Gemini, Claude, Llama, or Mistral. - Strong knowledge of Prompt Engineering, AI orchestration, and tool/function calling. - Experience developing APIs using FastAPI, Flask, or Django. - Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP). **Preferred Skills** - Experience with AI evaluation frameworks, observability, and LLMOps. - Knowledge of MLOps and AI model deployment. - Experience with Databricks, Snowflake, or enterprise data platforms. - Familiarity with knowledge graphs and enterprise search solutions.
**Job Role:** Lead Gen AI Engineer with Python **Location:** Phoenix, AZ (Hybrid) **Job Description:** We are looking for a Lead Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and development of enterprise AI solutions. The ideal candidate will have hands-on experience in preparing and engineering enterprise data for AI use cases, building scalable RAG pipelines, implementing autonomous AI agents, and integrating Large Language Models (LLMs) into production environments. This is a hands-on technical leadership role deep knowledge of AI architecture, data preparation, prompt engineering, vector databases, and modern AI frameworks. ** Skills** - 8 years of software development experience with Python. - 3 years of hands-on experience delivering Generative AI solutions. - Strong expertise in Retrieval-Augmented Generation (RAG) architecture and implementation. - Hands-on experience building Agentic AI solutions using LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, or Semantic Kernel. - Experience preparing, processing, and engineering structured and unstructured enterprise data for AI use cases. - Strong understanding of document ingestion, chunking strategies, embeddings, metadata enrichment, and vector search. - Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus. - Experience integrating LLMs including OpenAI, Azure OpenAI, Gemini, Claude, Llama, or Mistral. - Strong knowledge of Prompt Engineering, AI orchestration, and tool/function calling. - Experience developing APIs using FastAPI, Flask, or Django. - Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP). **Preferred Skills** - Experience with AI evaluation frameworks, observability, and LLMOps. - Knowledge of MLOps and AI model deployment. - Experience with Databricks, Snowflake, or enterprise data platforms. - Familiarity with knowledge graphs and enterprise search solutions.