Senior AI Engineer – Conversational AI Systems (Text & Voice)
Location: Delhi
Employment Type: Full-Time
Experience: 4+ Years
Start Date: Immediate Joiners Preferred
About Brainwave Science
Brainwave Science is a deep-tech company building next-generation cognitive AI systems at the intersection of artificial intelligence, neuroscience, biosignals, mathematics, and human cognition.
Our work focuses on developing intelligent systems for:
• Cognitive and behavioral analysis
• Stress and emotional state assessment
• Adaptive AI systems
• Biosignal intelligence
• Applied healthcare and security technologies
We operate in a fast-moving research and product environment where experimentation, originality, and rapid problem-solving are highly valued.
About the Role
We are looking for an experienced Conversational AI Engineer to build reliable, intelligent, and scalable conversational AI systems powering our cognitive AI platform.
**This role is intended for engineers who have personally designed, deployed, and maintained production conversational AI or LLM systems. Candidates whose experience is limited to prototypes, hackathons, or proof-of-concept projects are unlikely to be a good fit.**
You will architect modern LLM solutions, improve chatbot reliability, and deliver production-grade conversational experiences for real users.
Key Responsibilities
- Design and improve production-grade conversational AI systems.
- Architect RAG, fine-tuning, or hybrid LLM solutions based on product requirements.
- Build reliable multi-intent chatbot workflows for text and voice.
- Improve response quality, retrieval accuracy, latency, and reliability.
- Optimize prompts, orchestration, and evaluation pipelines.
- Develop automated testing and evaluation frameworks.
- Diagnose and resolve production issues systematically.
- Collaborate with AI, research, and product teams.
- Document architecture, engineering decisions, and best practices.
Required Qualifications
- 4+ years of hands-on experience building and deploying production conversational AI systems.
- Demonstrated ownership of at least one production LLM application from design through deployment, monitoring, and continuous improvement.
- Prototype-only experience is not sufficient.
- Practical experience with RAG, fine-tuning, prompt engineering, and LLM evaluation.
- Experience designing production multi-intent conversational systems.
- Strong Python programming skills.
Preferred Qualifications
- LangChain, LangGraph, or LlamaIndex.
- Vector databases.
- Healthcare, wellness, or other regulated domains.
- Experience deploying scalable LLM applications.
- Experience implementing structured AI evaluation and testing practices.
Technologies You'll Work With
- Python
- OpenAI APIs
- LangChain
- LangGraph
- LlamaIndex
- Vector Databases
- FastAPI
- Docker
- Git
Why Join Brainwave Science
- Build next-generation AI assistants using modern LLM technologies.
- Work on production AI systems with real-world impact.
- Influence the architecture of a growing AI platform.
- Collaborate with experienced AI engineers and researchers.
- Be part of a team that values technical excellence, ownership, and continuous learning.