JD-Gen AI Engineer
Exp:5-8 years
Location: Bengaluru
Shift:General
Mandatory Skills
GenAI Application Development,AI Agents & Multi-Agent Architecture,Python,AWS Cloud Services,MCP (Model Context Protocol),LangChain/LangGraph/LlamaIndex,Full Stack Development (React & APIs),RAG & Vector Databases
Skill to Evaluate
GenAI Application Development,AI Agents & Multi-Agent Architecture,Python,AWS Cloud Services,MCP (Model Context Protocol),LangChain/LangGraph/LlamaIndex,Full Stack Development (React & APIs),RAG & Vector Databases
Job Description
Seeking an AI Engineer with strong GenAI expertise and hands-on full-stack capabilities to drive innovation across entertainment-focused AI initiatives.
The role focuses on rapid prototyping, experimentation, and proof-of-concept development. The candidate should be capable of independently building and deploying AI solutions from ideation to demonstration.
Experience building production-grade GenAI applications is highly preferred. Exposure to entertainment, media, audio, video, or content-related AI use cases is a plus.
Roles & Responsibilities
- Design and build GenAI POCs and prototypes
- Deliver rapid experiments within 2-4 week cycles
- Develop AI-powered web applications end-to-end
- Build frontend, backend, APIs, and integrations
- Design agentic and multi-agent solutions
- Implement MCP-based integrations
- Build RAG and knowledge retrieval solutions
- Evaluate new AI models, frameworks, and tools
- Integrate AI solutions with enterprise systems
- Deploy and manage solutions on AWS
- Work with text, image, audio, and video AI workloads
- Conduct technical feasibility assessments
- Create demo-ready solutions for business stakeholders
- Optimize AI application performance and cost
- Document architecture, learnings, and recommendations
Pay: ₹1,000,000.00 - ₹1,800,000.00 per year
Application Question(s):
- Notice Period
- Expected CTC
- Must have exp in Python,AWS Cloud Services,MCP (Model Context Protocol),LangChain/LangGraph/LlamaIndex
Experience:
- GenAI Application Development: 4 years (Required)
Work Location: In person
