Lead Gen AI Engineer

OmegaHires

$135K — $160K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of software development experience with Python.
  • 3+ years delivering Generative AI solutions.
  • Expertise in Retrieval-Augmented Generation (RAG) architecture.
  • Experience building Agentic AI solutions with tools like LangGraph and LangChain.
  • Proficiency in preparing enterprise data for AI use cases, both structured and unstructured.
  • Knowledge of vector databases like Pinecone and FAISS.
  • Experience integrating various LLMs into production environments.

Responsibilities

  • Lead the design and development of enterprise AI solutions.
  • Engineer enterprise data for AI applications.
  • Build and implement scalable RAG pipelines.
  • Integrate large language models into production systems.
  • Develop APIs using FastAPI, Flask, or Django.
  • Manage deployment using Docker, Kubernetes, and CI/CD.
  • Oversee the implementation of autonomous AI agents.

Benefits

  • Hybrid work arrangement in Phoenix, AZ.
  • Opportunity to work on cutting-edge AI technology.
  • Hands-on technical leadership role.
  • Collaboration with a skilled team in AI innovation.
  • Professional growth in a rapidly evolving field.
Full Job Description
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.

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