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AI Engineer – Agentic AI & LLM Solutions

location_on Pune
Directions: AI Engineer – Agentic AI & LLM Solutions

Job Title: AI Engineer – Agentic AI & LLM Solutions (3–4 Years Experience)

Location: Pune (Onsite / Hybrid)
Industry: BPO / Customer Experience / AI Automation

About Us

We are a fast-growing BPO company in Pune providing inbound customer support services to multiple domestic and international clients. As part of our digital transformation journey, we are building next-generation AI-driven IVR, call automation, and omnichannel customer engagement solutions.

We are looking for a highly motivated AI Engineer to design and implement Agentic AI and LLM-powered automation systems that enhance customer experience and operational efficiency.

Role Overview

The AI Engineer will be responsible for designing, developing, and deploying Agentic AI and LLM-based solutions for:

IVR automation
Conversational AI for inbound call support
Call summarization & sentiment analysis
Omnichannel automation (Voice, Chat, Email, WhatsApp, etc.)
Intelligent workflow automation for customer service operations

Key Responsibilities

Design and implement Agentic AI architectures for autonomous customer interaction workflows
Develop and fine-tune LLM-powered conversational AI systems
Integrate AI models with IVR platforms and telephony systems
Build real-time call automation systems including:
o Speech-to-Text (STT)
o Text-to-Speech (TTS)
o Intent detection & entity recognition
Implement AI-based call routing, summarization, and analytics
Develop omnichannel AI workflows across voice, chat, and email
Optimize model performance, latency, and cost efficiency
Deploy AI solutions on cloud (AWS/Azure/GCP)
Ensure data privacy, compliance, and model governance
Collaborate with operations and CX teams to improve automation coverage
Required Skills & Qualifications

Experience

3–4 years of experience in AI/ML engineering
Hands-on experience building LLM-based applications in production

Technical Skills

Strong programming skills in Python
Experience with:
  1. LangChain / LlamaIndex
  2. RAG architectures
  3. Prompt engineering
  4. Vector databases (Pinecone, FAISS, Weaviate)
Knowledge of:
  1. OpenAI / Azure OpenAI / Anthropic / open-source LLMs
  2. Transformers & NLP frameworks
Experience with:
  1. Speech AI (STT/TTS)
  2. Conversational AI platforms
Understanding of:
  1. Agentic AI / multi-agent frameworks
  2. Workflow orchestration tools
Experience in REST APIs & microservices architecture
Cloud experience (AWS/Azure/GCP)

Preferred

Experience working with IVR/telephony systems
Knowledge of BPO / Call Center workflows
Experience with CRM integrations (Salesforce, Zoho, Freshdesk, etc.)
Exposure to MLOps / CI-CD for AI deployments

What We Offer

Opportunity to build cutting-edge AI systems in real production environments
Ownership of next-gen AI transformation initiatives
Exposure to multi-client enterprise use cases
Competitive salary & performance incentives
Fast-growth leadership opportunities

 Ideal Candidate Profile

Strong problem-solving mindset
Passion for applied AI in real business environments
Comfortable working in a fast-paced BPO setup
Ability to translate business use cases into AI-driven solutions

Apply