Job Title: AI/ML- Engineer
We are building the next-gen AI-native, multilingual, Omni channel communication platform for emerging markets. We are looking for a hands-on AI/ML & Data Engineering Lead who will own and deliver critical components of our agent assist stack — including Whisper/STT, LangChain-based summarization, emotion tagging, GPT integration, and scalable data pipelines.
This is a foundational role blending applied machine learning, LLM integration, and modern data engineering to drive real-time decisioning and automation across the platform.
Key Responsibilities
AI/ML + LLM/NLP
Lead implementation of LLM-based features: summarization, sentiment detection, auto-disposition, escalation tagging
Fine-tune and evaluate models (Whisper, GPT, HuggingFace, Rasa) for vernacular (Indian) language support
Build and deploy LangChain pipelines for prompt engineering, QA tagging, and agent assist
Prototype emotion recognition, contextual agent replies, and real-time assist layer
Build and maintain inference pipelines using FastAPI, Docker, Kubernetes
Integrate AI modules into core product features (Dialer, CRM sync, IVR)
Optimize model latency and deployment strategy for high concurrency environments
Architect scalable data pipelines using PostgreSQL, Redis, and Kafka
Build ETL/ELT workflows to support real-time analytics, dashboards, and feedback loops
Maintain secure, compliant data storage, retrieval, and access control pipelines (DPDP, GDPR-ready)
Collaboration & Leadership
Work closely with Product, Engineering, and UX to deliver features that directly impact agent productivity
Guide junior ML and data engineers; define and enforce coding/data standards
Contribute to AI strategy, model governance, and data infrastructure roadmap
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Required Skills & Qualifications
5+ years of experience with ML/AI/Data Engineering with exposure to LLMs and production-grade pipelines
Hands-on with Whisper, LangChain, HuggingFace, or similar frameworks
Solid Python (FastAPI preferred), SQL/PostgreSQL, and experience with RESTful APIs
Proven experience with CI/CD, Docker, K3s/Kubernetes, Redis, Kafka/RabbitMQ
Strong understanding of NLP/STT/TTS, summarization, and emotion tagging
Ability to work in startup-paced environments with ownership mindset
Pay: ₹1,000,000.00 - ₹1,600,000.00 per year
Application Question(s):
- What is your notice period and how soon you can join ?
Experience:
- LLM, Langchain and Rag: 3 years (Required)
- AI: 4 years (Required)
- Python: 5 years (Required)
- Whisper: 2 years (Required)
Work Location: In person
