About the role

Build and deploy production-ready conversational AI applications, including chatbots, assistants, and AI agents. This full-time role spans large language models (LLMs), retrieval systems, backend services, and speech technologies to deliver scalable, real-time experiences.

Key responsibilities

- Design, build, and deploy LLM-powered conversational applications.
- Develop backend services and APIs using Python with FastAPI or Flask.
- Build retrieval-augmented generation (RAG) pipelines using embeddings, vector databases, and retrieval systems.
- Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) technologies.
- Design conversation memory, context management, and session-handling systems.
- Enable real-time AI interactions through WebSockets or streaming APIs.
- Monitor, evaluate, and improve AI systems using prompt management and observability tools.
- Ensure application reliability, scalability, and production readiness.

Requirements





- Hands-on experience building LLM-based conversational AI systems.
- Robust Python proficiency and experience with FastAPI or Flask.
- Experience integrating STT and TTS services such as Deepgram, ElevenLabs, or similar tools.
- Understanding of RAG pipelines, embeddings, and vector search.
- Knowledge of conversational memory, context, and session management.
- Preferred: familiarity with SIP, RTP, VoIP, or WebRTC.
- Preferred: experience with LLM observability tools such as Langfuse, Phoenix, or similar tools.
- Preferred: experience building real-time systems using WebSockets (WSS).

Interested in this role? Apply through this page or email your CV to [email protected]. Know someone who would be a good fit? Share this job with them. Pay: ₹450,000.00 - ₹1,200,000.00 per year

Work Location: In person

📌 Conversational AI Engineer (Gurugram)
🏢 eXpertalent
📍 Gurugram