Description

Key Skills: Generative AI, LLMs, Agentic AI, AI/ML Engineering, Python, AI Orchestration, Inference Optimization, Real-Time Streaming, Redis, Caching

Roles & Responsibilities:

• Design and develop production-grade agentic AI systems using LLMs and Generative AI.
• Build multi-agent orchestration workflows with conversation state and context management.
• Develop reliable AI inference pipelines with routing, fallback, retries, and performance optimization.
• Build real-time chat systems using streaming technologies like WebSocket/SSE.
• Optimize caching and data retrieval strategies to improve AI response performance.
• Integrate and maintain AI models and services for scalable applications.

Experience Required:

• 2-5 years of experience building production AI/ML systems.
• Hands-on experience with Generative AI and LLM-based applications.
• Experience with agentic AI systems, multi-agent workflows, and AI orchestration.
• Knowledge of AI inference pipelines, model integration, and optimization techniques.
• Strong Python programming skills.
• Experience with Redis, caching, and real-time AI systems is an added advantage.

Education: B.E., B.Tech

Key Skills

Education

Any Graduate