About the Role: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.Total Experience: 5 - 8 yearsKey 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 environmentsData Engineering:- 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 roadmapRequired Skills & Qualifications:- 5+ years of experience in 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- Robust understanding of NLP/STT/TTS, summarization, and emotion tagging- Ability to work in startup-paced environments with ownership mindset (ref:hirist.tech)

📌 eDas - Senior AI Engineer - LLM (Gurugram)
🏢 eDAS
📍 Gurugram