About
# About the Role Thinkly Labs, operating under the brand Thinkly AI, is a fast-growing Indian startup focused on building AI-driven voice agents for the real-estate sector. As a Forward Deployed Engineer (FDE) Intern, you'll work at the intersection of client interaction, product engineering, and AI research. You'll have the opportunity to debug live voice agents, fine-tune model prompts, and ship critical features to our production stack. In this role, you'll gain hands-on exposure to production-grade AI pipelines from day one, providing a unique platform for fresh talent eager to see their code influence real customers. # Key Responsibilities - **Debugging** and optimizing AI voice agents during live client calls. - **Implementing** bug fixes and minor feature enhancements in the production codebase. - **Designing** and delivering interactive demos for sales prospects. - **Writing**, iterating, and engineering prompts that reliably guide LLM behavior. - **Collecting** field failures, reproducing them, and feeding insights back to the product team. - **Collaborating** with backend engineers to integrate vector-DB retrieval and speech-to-text pipelines. - **Maintaining** documentation of client-specific customizations. - **Participating** in code reviews and adhering to the team’s CI/CD practices. - **Monitoring** performance metrics of deployed agents and proposing improvements. - **Assisting** the support team with urgent client escalations. # Requirements - Proficiency in Python and an engineering mindset toward LLM prompting. - Familiarity with FastAPI, Next.js, PostgreSQL, various vector DB solutions, and N8N is highly valued. - Experience with OpenAI, Anthropic, or Gemini APIs, along with LangChain/LlamaIndex for prompt orchestration, is a plus. - Strong debugging skills and ability to work collaboratively in a team-oriented environment. # Benefits - Full-time, remote internship with a commitment of 8 hours daily, Monday to Saturday. - High-performing interns will have opportunities for full-time roles and increased responsibilities. - Gain exposure to enterprise clients and the chance to lead product modules. - A collaborative and experimental work culture driven by a
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