Brainwave Science
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Bengaluru · Hybrid · 4-7 Yrs · 6 days ago
51 to 200 Employees · Boston, US
Hiring: Engineering
What employees say
+ Great opportunities to learn and grow while working on cutting-edge technology. Talent is recognized and respected, and employees are given flexibility, ownership, and the freedom
− The high level of trust and flexibility can occasionally be misused by a small number of individuals, which may impact team productivity and place additional responsibility on othe
More reviews on the company profile.
Interview experience · AI Research Engineer
Machine Learning Questions - Decision Trees, XGBoost. Fallback mechanisms and guardrails. Questions regarding Time-Series Data and constructing models and getting inferences, real time data analysis. EEG Data, Deep Lear
Average difficulty · New Delhi · 3 reports
More interview insightsJob description
Overview
Location: Delhi / Hybrid
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.
Qualifications
- 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.
Nice to have
- LangChain, LangGraph, or LlamaIndex.
- Vector databases.
- Healthcare, wellness, or other regulated domains.
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Job application FAQ
Last updated 26 October 2026
- How do I apply for Senior AI Engineer – Conversational AI Systems (Text & Voice) at Brainwave Science?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Brainwave Science may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior AI Engineer – Conversational AI Systems (Text & Voice) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior AI Engineer – Conversational AI Systems (Text & Voice) remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Senior AI Engineer – Conversational AI Systems (Text & Voice) role at Brainwave Science?
- This is a senior Senior AI Engineer – Conversational AI Systems (Text & Voice) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.