Job Title: Generative AI Engineer
Location: Phoenix, AZ (Onsite/Hybrid)
Duration: 12 Months

Job Summary

We are seeking a highly skilled Generative AI Engineer with deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate will have a strong foundation in Python development and proven experience in designing and deploying scalable, production-grade AI solutions. This role requires strong analytical thinking, system design capabilities, and a passion for building intelligent, next-generation AI applications.

Key Responsibilities

Design, develop, and deploy scalable generative AI solutions using LLMs
Build and optimize RAG pipelines leveraging vector databases and semantic search techniques
Develop and implement agentic AI systems using modern frameworks
Fine-tune prompts and optimize model performance for accuracy and efficiency
Integrate AI models into production environments via APIs and microservices
Collaborate with cross-functional teams including data engineers, architects, and product stakeholders
Ensure robustness, scalability, and reliability of AI systems in production
Stay current with emerging trends and advancements in generative AI technologies

Required Qualifications

6+ years of experience in software development with a focus on AI/ML
Strong proficiency in Python for AI/ML development
Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models)
Experience building RAG pipelines using vector databases (e.g., FAISS, Pinecone, Chroma)
Experience with agentic frameworks such as LangChain, LangGraph, or AutoGen
Strong understanding of prompt engineering, embeddings, and semantic search
Proven experience designing scalable, production-ready AI systems
Excellent problem-solving and system design skills

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or GCP
Familiarity with MLOps practices and model lifecycle management
Knowledge of data engineering pipelines and distributed systems
Experience building and consuming REST APIs and microservices
Understanding of AI governance, security, and compliance frameworks

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