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Experience: 6+ yrs
Location: Bengaluru, Karnataka, India
Job Type: Full-time
We are looking for an experienced Senior AI Engineer to design, develop, and deploy production-ready Generative AI, RAG, and Agentic AI solutions across modern cloud environments. This role combines hands-on AI engineering, solution architecture, cloud deployment, model optimization, and technical mentoring.
The ideal candidate will have solid expertise in Python, LangChain, LangGraph, MCP, RAG, Agentic AI, Gemini, Vertex AI, FastAPI, Docker, and Kubernetes, along with practical experience building enterprise-grade AI applications on GCP and Azure.
You will work closely with engineering, product, and business teams to transform complex business requirements into scalable AI solutions while ensuring reliability, security, performance, and cost efficiency.
Key Responsibilities
Design and develop RAG, autonomous-agent, and multi-agent AI solutions using LangGraph, LangChain, MCP,



and advanced prompt-engineering techniques.
Build enterprise AI workflows integrating n8n, Python, APIs, databases, and external systems.
Develop AI applications using Gemini, Vertex AI, Agent Builder, Model Garden, and Vertex AI Search & Conversation.
Implement data cleansing, chunking, embeddings, vector search, and retrieval pipelines.
Build CDC-based solutions for real-time data synchronization and AI workloads.
Develop and deploy production AI services using Python, FastAPI, Docker, and Kubernetes/GKE.
Fine-tune LLMs and SLMs, including models such as Gemma, using PEFT, LoRA, and QLoRA.
Evaluate AI models for quality, accuracy, performance, latency, scalability, and cost.
Develop interactive AI interfaces and prototypes using Gradio and Streamlit.
Implement CI/CD, MLOps, LLMOps, monitoring, observability, and production deployment practices.
Work across GCP and Azure to build scalable and secure enterprise AI s

📌 Senior AI Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru