About Eureka Digitisation & Automation Services (eDAS) :

Eureka Digitization and Automation Services (eDAS) is a digital automation company delivering cutting-edge Software-as-a-Service (SaaS) solutionsincluding advanced Contact Center Softwareto help businesses operate better than ever before. We offer a range of robust digital products, intelligent automation tools, and tailored solutions designed to meet your unique business requirements.

At eDAS, we strive to transform technologies and deliver uncompromised quality to enhance customer experience, strengthen sales operations, streamline data exchange, improve security, and optimize process-oriented workflows. With a strong presence across India, Africa, the Middle-East, the UK, and the USA, we focus on serving enterprise and mid-market customers globally. At our core, our mission is to simplify your business through seamless digital transformation powered by innovation and automation.

Working Days : 5 days/week

Role & Responsibilities :

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 :

- 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.

Ideal Candidate :

- Strong Principal AI Engineer (Agentic AI / Voice Bot / LLM Engineering) Profiles.

- Mandatory (Experience 1) Must have 8+ years of overall software engineering experience, with at least 5+ years of hands-on experience in Artificial Intelligence, Machine Learning, Generative AI, or Applied AI engineering roles.

- Mandatory (Experience 2) Must have strong hands-on experience designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and Generative AI architectures.

- Mandatory (Experience 3) Must have minimum 1+ year of recent hands-on experience in Voice Bot Development, Voice AI, Conversational AI, AI Voice Agents, Speech AI, Contact Center Automation, or Voice Automation Platforms.

- Mandatory (Experience 4) Must have strong expertise in Python and should have built scalable AI/ML applications, APIs, microservices, or backend systems using Python-based frameworks.

- Mandatory (Experience 5) Must have hands-on experience with AI/LLM frameworks such as LangChain, LangGraph, Hugging Face, LlamaIndex, CrewAI, AutoGen, Whisper, OpenAI SDKs, or equivalent GenAI development frameworks.

- Mandatory (Notice Period) Immediate Joiners or candidates who can join within 15 days will be highly preferred.

- Preferred (Cloud) Experience with AWS, Azure, GCP, MLOps, AI deployment platforms, model serving infrastructure, and cloud-native architectures.

Perks, Benefits and Work Culture :

- Shape the AI-native dialer experience agents across India and Oversees.

- Build with purpose multilingual, affordable, fast-deploy SaaS platform for emerging markets.

- Work with modern tech : GPT, Whisper, LangChain, WebRTC, React, FastAPI.