Generative AI Engineer

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