AI Agent Engineer
Salary not listed • Hyderabad, Telangana, India • Full-time
Posted 1mo ago
Job Location
Hyderabad, Telangana, India
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
Observe.AI is seeking 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 where you will work directly with customers to translate requirements into working solutions by configuring integrations, designing prompts and workflows, and deploying scalable AI agents. You will own the end-to-end lifecycle of AI agent delivery, from initial design and integration through testing, client demos, deployment, and ongoing iteration. This role is ideal for someone who enjoys problem-solving across systems, working with APIs, and delivering real-world AI applications, rather than building foundational AI models.
Responsibilities
- Implement AI agents, including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks.
- Serve as the primary technical partner for customers, leading demos, communicating progress, gathering feedback, and guiding solutions from concept to production.
- Configure and connect systems using APIs, managing authentication, data mapping, and error handling for integrations with CRMs and other enterprise tools.
- Set up telephony integrations (SIP/CCaaS/PSTN), pass metadata, configure fallbacks, and troubleshoot call quality.
- Design and optimize prompts for LLM-driven agents, monitor performance, and ensure agents meet automation and containment targets.
- Translate customer requirements into actionable solutions and consultatively address challenges in security, connectivity, or knowledge ingestion.
- Collaborate with product and engineering teams to escalate platform gaps and resolve technical issues, while independently driving client implementations.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 1-5 years of experience in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments.
- Strong communication skills for customer-facing discussions, including explaining complex technical concepts to non-technical audiences.
- Hands-on skills in prompt design, workflow building, and API integration (e.g., SIP, Twilio, Amazon Connect).
- Familiarity with LLMs (GPT, Claude, Gemini), vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex).
- Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns, and performance optimization.
- Programming experience in Python, JavaScript, or similar for scripting and integrations.
- Strong problem-solving mindset to adapt to customer-specific ecosystems and unblock integrations.
- Experience with integration tools and iPaaS providers (e.g., n8n, Zapier) is a plus.
- Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus.