Gen AI Engineer

We are seeking a highly skilled Gen AI Engineer to design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and cloud-native architectures. The ideal candidate will have strong expertise in AI/ML, prompt engineering, model integration, and scalable application development.

Design and develop Generative AI applications using Large Language Models (LLMs).

Build and optimize Retrieval-Augmented Generation (RAG) solutions.

Develop AI Agents and conversational AI systems.

Integrate OpenAI, Azure OpenAI, Claude, Gemini, or Llama models into enterprise applications.

Implement vector search and semantic retrieval solutions.

Develop and maintain scalable APIs and microservices.

Collaborate with data scientists, engineers, and business stakeholders.

Monitor, optimize, and deploy AI solutions in cloud environments.

Ensure AI security, governance, and best practices.

Python

Generative AI

Large Language Models (LLMs)

Prompt Engineering

LangChain

LangGraph

Retrieval-Augmented Generation (RAG)

OpenAI / Azure OpenAI

Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)

REST APIs and Microservices

Git and CI/CD

AWS, Azure, or Google Cloud Platform

Experience with Claude, Gemini, or Llama models.

Knowledge of MLOps and AI model deployment.

Experience with Docker and Kubernetes.

Knowledge of Fine-Tuning and Model Optimization.

Experience with Multi-Agent Systems.

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.

Strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Ability to work independently and within cross-functional teams.

Strong attention to detail and innovation mindset.

Best Regards,
Teresa Rose