Senior Artificial Intelligence Engineer

We are looking for a Senior AI Engineer to build production-ready GenAI, RAG, and agentic AI solutions across GCP and Azure. The role combines hands-on development, solution design, cloud deployment, and technical mentoring.

Responsibilities:

• Build RAG, autonomous-agent, and multi-agent solutions using LangGraph, LangChain, MCP, and prompt engineering.
• Develop enterprise AI workflows with n8n, Python Code Nodes, APIs, databases, and external systems.
• Work with Gemini and Vertex AI, including Agent Builder, Model Garden, and Vertex AI Search and Conversation.
• Perform data cleansing, chunking, embeddings, vector search, and CDC-based real-time data synchronization.
• Develop and deploy AI services using Python, FastAPI, Docker, and Kubernetes/GKE.
• Fine-tune LLMs/SLMs such as Gemma using PEFT, LoRA/QLoRA.
• Evaluate models for quality, performance, latency, and cost.
• Build AI interfaces using Gradio/Streamlit.
• Support CI/CD, MLOps/LLMOps, monitoring, and production deployments.
• Collaborate with engineering and business teams and mentor junior AI/ML engineers.

Requirements:

• 6+ years of relevant AI/ML engineering experience.
• Strong Python with PyTorch, TensorFlow, or Scikit-learn.
• GCP and Azure experience with enterprise AI workloads.
• Vertex AI, Gemini API, Vertex AI Pipelines, Gemini Code Assist.
• LangGraph, LangChain, MCP, RAG, Agentic AI.
• n8n, FastAPI, Docker, Kubernetes/GKE.
• Azure DevOps, Argo Workflows, CI/CD, MLOps/LLMOps.
• PEFT, LoRA/QLoRA, model evaluation, and optimization.
• Experience with APIs, databases, vector stores, and CDC.
• Strong communication, problem-solving, and stakeholder management skills.
• Preferred: Relevant AI/ML certifications and experience working on large-scale production AI solutions.