AI Engineer

We are looking for a skilled AI Engineer with hands-on experience in LLMs, conversational AI, and voice AI systems. The candidate will be responsible for building and deploying scalable AI applications, RAG pipelines, and real-time conversational systems using modern AI frameworks and backend technologies.

Responsibilities:

• Design, develop, and deploy LLM-based AI applications and conversational AI systems.
• Build and optimize RAG pipelines, embeddings, and vector database integrations.
• Develop backend AI services using Python frameworks like FastAPI or Flask.
• Work on Voice AI applications, including STT/TTS and real-time conversational systems.
• Implement real-time communication using WebSockets or streaming APIs.
• Optimize AI application latency, context handling, and response quality.
• Integrate AI models with scalable backend architectures and cloud platforms.
• Monitor, evaluate, and improve AI system performance and output accuracy.
• Collaborate with product and engineering teams for deployment and production support.
• Work on prompt engineering, workflow optimization, and AI system enhancements.

Requirements:

• Strong experience with Python and AI backend development.
• Hands-on experience with LLMs, RAG pipelines, embeddings, and vector databases.
• Experience with LangChain, OpenAI APIs, or similar AI frameworks.
• Knowledge of FastAPI/Flask and REST APIs.
• Experience with Voice AI systems (STT/TTS) and conversational AI applications.
• Understanding of WebSockets, streaming APIs, and real-time systems.
• Familiarity with cloud platforms like AWS/GCP/Azure.
• Good understanding of prompt engineering and AI optimization techniques.

Preferred Skills:

• Experience with Whisper, LangGraph, Pinecone, FAISS, ChromaDB, or similar tools.
• Knowledge of Docker, CI/CD pipelines, and scalable microservices architecture.
• Experience with monitoring and evaluation frameworks for AI outputs.