Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 22244367

    Genpact logo

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

    Genpact · Hyderabad · hybrid · Posted today

    Undisclosed8–13 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    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

    INTERESTED CANDIDATES - Please share [email removed]

    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.



    Sourced from naukri

    Skills

    Large Language Models (LLMs)API IntegrationGenerative Ai

    About Genpact

    Genpact logo

    Genpact

    Analytics & KPO

    82.3k+

    employees

    1997

    29 years old

    New York, New York

    United States (USA)

    About

    Global leader in digital transformation, combining AI and analytics to drive growth. With $4.7 billion in 2024 revenue, it empowers businesses across industries to innovate and thrive.

    Industries

    Analytics & KPOFinancial ServicesEdTech

    Employee ratings

    42,300 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    2.9

    Work-life

    3.6

    Employees rate it well for

    Salary7529Job Security4429Work Life Balance4056Work Culture3648Learning3518

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    AI Agent Engineer GenAI | Voice & Chat AI | API Integration · waiting for your command