AI Agent Engineer GenAI | Voice & Chat AI | API Integration

Genpact Ltd.; Hyderabad, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Genpact Ltd. is seeking a client-facing AI Agent Engineer to design, deploy, and optimize enterprise-grade Voice AI, Chat AI Agents, and AI Copilots.

You will own end-to-end AI agent implementations from discovery to production, collaborating with customers and internal teams to deliver scalable GenAI solutions using REST APIs, vector databases, and iPaaS tools.

Qualifications

• Hands-on experience with Generative AI / Conversational AI / AI Agents / LLM-based apps.
• Strong prompt engineering and AI workflow/agent design skills.
• Solid knowledge of REST APIs, API integrations, authentication, webhooks and data flows.
• Experience with RAG, vector databases, embeddings, knowledge bases and LLM apps.

Responsibilities

• Design, configure, integrate, test, and deploy AI Agents, Voice AI Agents, Chatbots, and AI Copilots.
• Develop and optimize LLM prompts, agent workflows, guardrails, and evaluation frameworks.
• Work with customers to translate requirements into scalable AI solutions.
• Lead technical discussions, demos, troubleshooting, and project updates with clients.
• Integrate AI solutions with enterprise apps via REST APIs, webhooks, data mapping and error handling.
• Configure Voice/Telephony integrations (SIP, PSTN, CCaaS, Twilio, Amazon Connect).
• Implement RAG solutions including knowledge ingestion and retrieval.

Skills

Generative AI / Conversational AI / AI

Prompt Engineering

REST APIs & Integrations

RAG, Vector Databases

LLM Platforms (OpenAI GPT, Claude,Gemı

LangChain / LlamaIndex

Python / JavaScript

Client‑facing communication

Problem solving

Education

Bachelor's in Computer Science/Engineering/IT

Tools

LangChain

LlamaIndex

n8n

Zapier

Twilio

Amazon Connect

Job description

Job Title: AI Agent Engineer GenAI | Voice & Chat AI
Experience: 8–10 Years
Location: Bangalore / Hyderabad preferred | Open to candidates across India
Employment Type: Full-time

Job Summary

We are looking for a client-facing AI Agent Engineer to design, integrate, deploy, and optimize enterprise-grade Voice AI, Chat AI Agents, and AI Copilots.

This is a hands‑on delivery role focused on implementing real‑world GenAI/LLM solutions within customer environments. The ideal candidate should have strong experience in AI agent development, prompt engineering, workflow automation, API integrations, RAG, and customer‑facing solution delivery.

You will own the complete lifecycle of AI agent implementations—from requirement gathering and solution design to integration, testing, client demos, production deployment, and continuous optimization.

Key Responsibilities

• Design, configure, integrate, test, and deploy AI Agents, Voice AI Agents, Chatbots, and AI Copilots.
• Develop and optimize LLM prompts, agent workflows, guardrails, and evaluation frameworks.
• Work directly with customers to understand requirements and translate them into scalable AI solutions.
• Lead technical discussions, solution walkthroughs, demos, troubleshooting sessions, and project updates with clients.
• Integrate AI solutions with enterprise applications using REST APIs, webhooks, authentication, data mapping, and error handling.
• Integrate with CRMs, knowledge bases, enterprise applications, databases, and other business systems.
• Configure and troubleshoot Voice/Telephony integrations involving SIP, PSTN, CCaaS, Twilio, Amazon Connect, or similar platforms.
• Implement and optimize RAG (Retrieval‑Augmented Generation) solutions, including knowledge ingestion, retrieval, grounding, and response quality.
• Work with LLM platforms such as OpenAI GPT, Claude, Gemini, or equivalent.
• Work with vector databases and orchestration frameworks such as LangChain, LlamaIndex, or similar.
• Develop scripts and integrations using Python, JavaScript, or similar programming languages.
• Use automation/integration platforms such as n8n, Zapier, or similar iPaaS tools.
• Monitor agent performance and continuously improve accuracy, containment, automation, latency, and customer experience.
• Collaborate with product and engineering teams to resolve platform limitations and implement technical solutions.
• Independently drive customer implementations from discovery development testing demo production deployment.

Required Skills

• Hands‑on experience in Generative AI / Conversational AI / AI Agents / LLM‑based applications.
• Strong experience in Prompt Engineering and AI workflow/agent design.
• Strong knowledge of REST APIs, API integrations, authentication, webhooks, and data flows.
• Experience with RAG, vector databases, embeddings, knowledge bases, and LLM applications.
• Experience with one or more LLM platforms: OpenAI GPT, Claude, Gemini, Azure OpenAI, etc.
• Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
• Programming/scripting experience in Python, JavaScript, or similar languages.
• Strong troubleshooting and problem‑solving skills.
• Excellent client‑facing communication and stakeholder management skills.
• Ability to explain complex AI/technical concepts to both technical and non‑technical audiences.

Good to Have

• Experience with Voice AI / Conversational Voice Agents.
• Knowledge of SIP, PSTN, CCaaS, IVR, Twilio, Amazon Connect, or similar telephony technologies.
• Experience with n8n, Zapier, Make, or other iPaaS/automation platforms.
• Experience integrating AI agents with Salesforce, ServiceNow, Microsoft Dynamics, CRM platforms, or enterprise applications.
• Knowledge of AI agent evaluation, observability, guardrails, and performance optimization.
• Experience working in customer‑facing solution engineering, consulting, implementation, or professional services environments.

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline.