AI Agent Engineer
Design, integrate, and deploy enterprise-grade Voice and Chat AI agents and Copilots. This client-facing role involves prompt engineering, workflow configuration, and API integrations with CRMs and telephony systems using LLMs, RAG, and orchestration frameworks like LangChain.
- Compensation
- Not disclosed
- Location
- Hyderabad, Telangana, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- 1-5 years in conversational AI, solution engineering, or delivering AI/LLM-based applications
- Strong ability to lead customer-facing discussions and explain technical concepts
- Hands-on skills in prompt design, workflow building and API integration
- Familiarity with LLMs (GPT, Claude, Gemini)
- Familiarity with vector DBs and orchestration frameworks (LangChain, LlamaIndex)
- Working knowledge of retrieval-augmented generation (RAG) concepts
- Programming experience in Python, JavaScript, or similar
Nice to have
- Experience with iPaaS providers such as n8n or Zapier
- Familiarity with telephony or voice systems (SIP, CCaaS, PSTN)
Full description
About Us
is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.
Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.
Built on a CX-native foundation, helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.
Why Join Us
We’re looking for a client-facing AI Agent Engineer to design, integrate, and deploy enterprise-grade Voice and Chat AI agents and AI Copilots. This is a hands-on, delivery-focused role centered on bringing AI solutions to life within customer environments—not building foundational AI models.
You will work directly with customers to translate requirements into working solutions by configuring integrations, designing prompts and workflows, and deploying scalable AI agents. This role is ideal for someone who enjoys problem-solving across systems, working with APIs, and delivering real-world AI applications.
You’ll own the end-to-end lifecycle of AI agent delivery—from initial design and integration through testing, client demos, deployment, and ongoing iteration.
What You’ll Be Doing
- Build & Deploy Agents: Own the implementation of AI agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks.
- Client Engagement: Act as the primary technical partner for customers—lead regular demos, communicate progress, gather feedback, and guide solutions from concept to production.
- Systems Integration: Configure and connect systems using APIs—handling authentication, data mapping, error handling, and integrations with CRMs, knowledge bases, and other enterprise tools.
- Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality.
- Prompt Design & Optimization: Write and refine prompts for LLM-driven agents, monitor performance, test iteratively, and ensure agents meet automation and containment targets.