Senior AI Engineer – Conversational AI Systems (Text & Voice)

Job Description 2: Senior AI Engineer – Conversational AI Systems (Text & Voice)
Location: Delhi / Hybrid
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.

Work arrangement
No