AI Agent Engineer GenAI | Voice & Chat AI | API Integration
Genpact · Hyderabad · hybrid · Posted today
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
About Genpact

Genpact
Analytics & KPO
82.3k+
employees
1997
29 years old
New York, New York
United States (USA)
About
Industries
Employee ratings
42,300 reviews
Culture
3.5
Career growth
2.9
Work-life
3.6
Employees rate it well for
Find them on