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.

Experience
6-10 yrs