Implementation Engineer

About the internship: Selected intern's day-to-day responsibilities include: 1. Work closely with the Customer Success Team and implement AI Agents for clients. 2. Monitor, configure and troubleshoot live AI agent deployments - investigate reported bugs, trace API/integration errors and coordinate fixes with the engineering team. 3. Map and test CRM integrations (Salesforce, HubSpot, custom APIs) verify leads, fields, and data are syncing correctly 4. Join client calls with the CSM to understand requirements and translate them into technical implementation steps. 5. Test AI Agent conversations end-to-end before go-live to catch broken flows, bad responses, or missing data capture. 6. Write internal bug reports and client-facing status updates for issues. 7. Pull and analyze usage/performance data to flag issues or opportunities to the CSM. Who can apply: Only those candidates can apply who: are available for the work from home job/internship can start the work from home job/internship between 26th Jul'26 and 30th Aug'26 are available for duration of 6 months have relevant skills and interests are Computer Science Engineering students Stipend: INR₹ 30,000 /month Deadline: 2026-08-26 23:59:59 Other perks: 5 days a week Skills required: REST API, Effective Communication and Generative AI Tools Other Requirements: 1. Recent graduate in Computer Science or related field, or 1 year in a similar role. 2. Genuinely curious about how AI agents actually work in production — not just prompting ChatGPT, but what it takes to make one reliable. 3. Can work with REST APIs and resolve errors and reason about what's actually happening (logs, network tab, manual replay), then fixes the cause. About Company: Have you ever applied for something like a credit card, car loan, or bank account and found yourself banging your head against the keyboard because the user experience is mind-numbingly terrible? Well, those terrible experiences are more common than you'd think, and at Tars, we're working to rid the world of them. How are we doing this? Using the wonderful magic of chatbots. Using the TARS chatbot platform, businesses across industries, geographies, and product categories have been able to automate customer service conversations and deliver better lead-generation experiences to their customers. In cold hard numbers, we've helped 9,000+ businesses build 38,000+ chatbots that have had 50 million+ conversations.