senior AI Engineer

Weekday AI (YC W21); Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Weekday AI in Bengaluru, India, seeks a Senior AI Engineer to design, develop, and deploy production-ready Generative AI, RAG, and Agentic AI solutions across cloud environments. You’ll transform complex business needs into scalable AI workloads with reliability, security, performance and cost efficiency.

Requirements include strong Python, LangChain, LangGraph, GCP/Azure experience, Vertex AI, Docker, Kubernetes, and hands-on enterprise AI deployment plus mentoring of junior engineers.

Qualifications

• 6+ years of AI/ML engineering or related field.
• Strong Python programming and ML libraries (PyTorch, TensorFlow, Scikit-learn).
• Proven experience building Generative AI, RAG, and Agentic AI solutions.
• Hands-on with GCP and Azure in enterprise AI workloads.
• Experience with LangGraph, LangChain, MCP and multi-agent architectures.
• Experience with Vertex AI, Gemini API, and related tools.
• Strong knowledge of CI/CD, MLOps, LLMOps.
• Mentoring and collaboration across teams.

Responsibilities

• Design and develop RAG, autonomous-agent, and multi-agent AI solutions.
• Build enterprise AI workflows with n8n, Python, APIs.
• Develop AI apps using Gemini, Vertex AI, and related tools.
• Implement data cleansing, embeddings, vector search 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.
• 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.

Skills

Python

LangChain

LangGraph

MCP

RAG

Agentic AI

Gemini

Vertex AI

FastAPI

Gradio

Streamlit

APIs

Databases

Vector stores

PyTorch

TensorFlow

Scikit-learn

GCP

Azure

Vertex AI Pipelines

Gemini API

Gemini Code Assist

CI/CD

MLOps

LLMOps

PEFT

LoRA

QLoRA

Tools

Docker

Kubernetes

n8n

Vertex AI

Gemini API

Vertex AI Pipelines

Argo Workflows

Azure DevOps

Job description

Job Description:

This role is for one of the Weekdays clients

Salary range: Rs 2500000 - Rs 400000000 (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.

Key Responsibilities

• Design and developRAG, autonomous-agent, and multi-agent AI solutionsusing LangGraph, LangChain, MCP, and advanced prompt-engineering techniques.
• Build enterprise AI workflows integratingn8n, Python, APIs, databases, and external systems.
• Develop AI applications usingGemini, 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 usingPython, FastAPI, Docker, and Kubernetes/GKE.
• Fine-tune LLMs and SLMs, including models such as Gemma, usingPEFT, LoRA, and QLoRA.
• Evaluate AI models for quality, accuracy, performance, latency, scalability, and cost.
• Develop interactive AI interfaces and prototypes usingGradio and Streamlit.
• Implement CI/CD, MLOps, LLMOps, monitoring, observability, and production deployment practices.
• Work acrossGCP and Azureto 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 experiencein AI/ML Engineering, Software Engineering, or a related field.
• Strong hands‑on programming experience withPythonand familiarity with PyTorch, TensorFlow, or Scikit-learn.
• Proven experience building and deployingGenerative AI, RAG, and Agentic AIsolutions.
• Strong knowledge ofLangGraph, LangChain, MCP, prompt engineering, and multi-agent architectures.
• Hands‑on experience withGCP and Azurefor enterprise AI workloads.
• Experience withVertex AI, Gemini API, Vertex AI Pipelines, and Gemini Code Assist.
• Strong understanding ofn8n, FastAPI, Docker, Kubernetes/GKE, APIs, databases, and vector stores.
• Experience withAzure DevOps, Argo Workflows, CI/CD, MLOps, and LLMOps.
• Practical knowledge ofPEFT, 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 deliveringlarge‑scale production AI solutionswould be an advantage.

Requirements: