# Senior AI Engineer

**Company:** [Weekday AI](http://jobs.workable.com/companies/pxG9rDgnvZm2c86JUchT1j.md)
**Location:** Bengaluru, India
**Workplace:** on site
**Employment type:** Full-time
**Department:** Weekday's Client via platform

[Apply for this job](http://jobs.workable.com/view/474c1971-1ce2-4ac7-ac87-a2c34c6844ae)

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟰𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟱-𝟰𝟬 𝗟𝗣𝗔)

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 strong 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.

## Requirements

### 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 solutions.
-   Collaborate with engineering, product, and business stakeholders to understand requirements and deliver effective AI solutions.
-   Mentor junior AI/ML engineers and contribute to technical standards, architecture decisions, and engineering best practices.

### What Makes You a Great Fit

-   **6+ years of experience** in AI/ML Engineering, Software Engineering, or a related field.
-   Strong hands-on programming experience with **Python** and familiarity with PyTorch, TensorFlow, or Scikit-learn.
-   Proven experience building and deploying **Generative AI, RAG, and Agentic AI** solutions.
-   Strong knowledge of **LangGraph, LangChain, MCP, prompt engineering, and multi-agent architectures**.
-   Hands-on experience with **GCP and Azure** for enterprise AI workloads.
-   Experience with **Vertex AI, Gemini API, Vertex AI Pipelines, and Gemini Code Assist**.
-   Strong understanding of **n8n, FastAPI, Docker, Kubernetes/GKE, APIs, databases, and vector stores**.
-   Experience with **Azure DevOps, Argo Workflows, CI/CD, MLOps, and LLMOps**.
-   Practical knowledge of **PEFT, LoRA/QLoRA, model evaluation, and optimization**.
-   Experience working with real-time data, CDC, embeddings, and vector-search technologies.
-   Strong understanding of production AI deployment, monitoring, scalability, and cost optimization.
-   Excellent problem-solving, communication, stakeholder-management, and technical mentoring skills.
-   Relevant AI/ML certifications and experience delivering **large-scale production AI solutions** would be an advantage.