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Salary
$30k – $75k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked with.

This role is for one of Weekday’s clients

Salary range: Rs 1500000 - Rs 2500000 (ie INR 15 - 25 LPA)

Min Experience: 6+ years

Location: Bengaluru

JobType: full-time

The role combines hands-on development, solution design, cloud deployment, and technical mentoring.

Requirements

What You’ll Do

  • 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 & 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.

Key Skills

  • 6+ years of relevant AI/ML Engineering experience.
  • Strong Python with PyTorch, TensorFlow, or Scikit-learn.
  • GCP & 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.

Must-have skills

Python, Gen AI, LangChain

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