AI Agent Engineer
Observe.AI7 hours ago
Hyderābād, IndiaEntry Level / Mid Level
Responsibilities
- Implement and deploy AI agents and copilots through prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks.
- Act as the primary technical customer partner by leading demos, communicating progress, gathering feedback, and guiding solutions into production.
- Configure API integrations with authentication, data mapping, error handling, CRMs, knowledge bases, and enterprise tools.
- Set up SIP, CCaaS, and PSTN routing, metadata handling, fallbacks, and call-quality troubleshooting.
- Optimize LLM-driven agent prompts, monitor performance, conduct iterative testing, and support automation and containment targets.
- Translate customer requirements into solutions and collaborate with product and engineering teams on platform gaps and technical fixes.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 1–5 years of experience in conversational AI, solution engineering, systems integration, software engineering, or delivery of AI/LLM-based applications in customer environments.
- Hands-on experience with prompt design, workflow building, API integration, and customer-facing technical discussions.
- Familiarity with LLMs such as GPT, Claude, and Gemini; vector databases; orchestration frameworks such as LangChain and LlamaIndex; and retrieval-augmented generation.
- Programming experience in Python, JavaScript, or a similar language for scripting and integrations.
- Strong problem-solving, technical troubleshooting, communication, and ability to explain complex concepts to nontechnical audiences.
- Experience with iPaaS and integration tools such as n8n or Zapier is a plus.
- Familiarity with telephony or voice systems including SIP, CCaaS, and PSTN is a plus.
Tech Stack
Categories
Solutions Engineering
About Observe.AI
Observe.AI builds an AI agents and conversation intelligence platform for contact centers, providing speech analytics, real-time guidance, QA automation, and agent coaching to enterprise CX teams. It sells SaaS to large organizations and integrates across omnichannel customer support workflows. Founded in 2017 and headquartered in Redwood City, California, the company counts brands such as DoorDash and Signify Health among its customers.