AI/ML Fullstack Engineer – GenAI, Python & React
Location: Bengaluru Work Mode: Work from Office Experience: 2-4 Years CTC: ₹6–10 LPA Working Days: 5 Days Notice Period: Maximum 30 Days
About the Role
We are looking for an AI/ML Fullstack Engineer with hands-on experience in Generative AI, LLM applications, Python, and React.js. The candidate will build AI-powered applications including chatbots, assistants, copilots, RAG solutions, and AI workflow automation.
Key Responsibilities
- Develop and deploy LLM-based applications using OpenAI, Gemini, Claude, LLaMA, or similar models.
- Build and optimize prompts, RAG pipelines, and AI workflows.
- Develop backend services using Python, FastAPI, Flask, or Django.
- Build frontend applications using React.js, JavaScript, HTML, and CSS.
- Integrate REST APIs, AI models, and business applications.
- Work with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent.
- Work with SQL databases and cloud platforms such as AWS/GCP.
- Collaborate with clients and internal teams to convert business requirements into technical solutions.
Mandatory Requirements
- 2+ years of total software development experience with at least 1 year in AI/GenAI/LLM projects.
- Hands-on experience building AI assistants, chatbots, copilots, RAG applications, or AI automation.
- Strong Python and backend development experience.
- Hands-on React.js and frontend-to-backend integration experience.
- Experience in Prompt Engineering, RAG, and LLM orchestration.
- Strong SQL and database knowledge.
- Experience working directly with clients or end-users.
Interview Process: Introductory Round + CEO Round
Pay: ₹600,000.00 - ₹1,000,000.00 per year
Application Question(s):
- Do you have 2+ years of software development experience, including at least 1 year of hands-on AI/GenAI/LLM experience?
- Have you built production/project-based AI applications such as chatbots, assistants, copilots, RAG applications, or AI automation?
- Do you have strong hands-on Python + FastAPI/Flask/Django experience?
- Do you have hands-on React.js experience with JavaScript, HTML, CSS and frontend-backend integration?
- Do you have hands-on experience with Prompt Engineering, RAG and an LLM orchestration framework such as LangChain/LangGraph/LlamaIndex/CrewAI/AutoGen?
Work Location: In person