Brainwave Science

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

Brainwave Science

New Delhi•Hybrid•4-7 Yrs•2 days ago

Hybrid

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.

Cognitive and behavioral analysis
Stress and emotional state assessment
Adaptive AI systems
Biosignal intelligence
Applied healthcare and security technologies
*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.**
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.
Strong Python programming skills.
Python
OpenAI APIs
LangChain
LangGraph
LlamaIndex
Vector Databases
FastAPI
Docker
Git
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.

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