Senior AI Engineer(Agentic AI & Voicebot)_Gurgaon

Lester Infoservices; Gurugram District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Lester Infoservices is seeking a Sr AI Engineer in Gurgaon to own critical components of an agent assist stack, including Whisper/STT, LangChain-based summarization, and scalable data pipelines. You will contribute to real-time decisioning and automation across the platform.

The role requires hands-on experience with LLMs, Python, and modern data engineering, with a focus on latency optimization in high-concurrency environments.

Qualifications

• Minimum 4 years of experience in AI with exposure to LLMs and production-grade pipelines.
• Hands-on with Whisper, LangChain, HuggingFace, or similar frameworks.
• Strong Python (FastAPI preferred), SQL/PostgreSQL, and 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.

Responsibilities

• Lead implementation of LLM-based features: summarization, sentiment detection, auto-disposition, escalation tagging.
• Fine-tune and evaluate models 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 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).
• Collaborate with Product, Engineering, and UX to deliver features that impact agent productivity.
• Guide junior ML and data engineers; define coding/data standards.
• Contribute to AI strategy, model governance, and data infrastructure roadmap.

Skills

LLM integration

NLP & STT

Python

SQL / PostgreSQL

RESTful APIs

CI/CD

Docker

Kubernetes

Data pipelines

Emotion tagging

Tools

LangChain

FastAPI

Kafka

Redis

RabbitMQ

HuggingFace

Rasa

Job description

Job Title - Sr AI Engineer

Location- Gurgaon

Total experience of 7-10 years

Agentic AI and Voice Bot Development experience Mandatory

We are building the next-gen AI-native, multilingual, Omni channel communication platform for emerging markets. We are looking for a hands-on AI Engineer 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.

What Youll Do

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

Required Skills & Qualifications :

• Minimum 4 years of experience in AI 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

Bonus Skills :

• Experience with multilingual models (Hindi, Tamil, Bengali)
• Exposure to Rasa, Coqui TTS, or OpenWA integrations
• Prior work in SaaS/Contact Center/Dialer/CRM ecosystems
• Familiarity with speech emotion recognition or agent coaching models