Generative AI Engineer

Robotics Technologies is hiring a Generative AI Engineer in Phoenix, AZ (onsite) to design and implement scalable Generative AI solutions centered on Retrieval-Augmented Generation (RAG) architectures. The role focuses on building robust ingestion and retrieval pipelines, integrating vector databases and semantic search, and deploying GenAI solutions in cloud environments.

Key Responsibilities

• Design and implement scalable Generative AI solutions using RAG architectures.
• Develop AI-powered applications that use LLMs such as GPT, Claude, Llama, and Gemini.
• Build end-to-end pipelines for data ingestion, embeddings, indexing, retrieval, and response generation.
• Develop and optimize prompt engineering strategies to improve model performance.
• Integrate vector databases and semantic search capabilities into AI applications.
• Collaborate with cross-functional teams to convert business requirements into AI-driven solutions.
• Monitor, evaluate, and improve accuracy, relevance, latency, and cost efficiency.
• Implement security, governance, and Responsible AI best practices.
• Deploy and maintain GenAI solutions in cloud environments.

Required Qualifications

• Strong experience with Generative AI and RAG frameworks.
• Expertise in Python.
• Hands-on experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Experience working with LLMs and foundation models.
• Knowledge of prompt engineering and AI model evaluation.
• Experience with vector databases including Pinecone, ChromaDB, Weaviate, FAISS, or Azure AI Search.
• Strong understanding of embeddings, semantic search, and information retrieval techniques.
• Experience with REST APIs, microservices, and cloud platforms (Azure, AWS, or GCP).
• Familiarity with Docker, Kubernetes, and CI/CD with DevOps practices.

Preferred Qualifications

• Experience with AI Agents and agentic AI frameworks.
• Exposure to GraphRAG, knowledge graphs, and advanced retrieval techniques.
• Experience with MLOps and AI governance.
• Knowledge of Responsible AI and model monitoring frameworks.
• Experience developing enterprise-grade AI applications in large-scale environments.

Relevant Technologies

RAG, Python, LangChain, LlamaIndex, LLMs (GPT, Claude, Llama, Gemini), vector databases (Pinecone, ChromaDB, Weaviate, FAISS, Azure AI Search), embeddings, semantic search, information retrieval, REST APIs, microservices, Azure, AWS, GCP, Docker, Kubernetes, CI/CD, DevOps.

Work Authorization

• US Citizen
• Green Card
• OPT-EAD
• CPT
• H-1B
• H4-EAD
• Other

Compensation and Location

Phoenix, AZ (onsite). Salary: USD 81 per hour (81 - 81).