Benefits

Education

Bachelor's degree

Full Job Description

Role Overview As a Solution Engineer, you will play a critical role in designing, demonstrating, and implementing enterprise-level SaaS, chatbot, conversational AI, and CPaaS solutions for clients. This is a highly client-facing role that combines strong communication and consultative skills with hands-on technical execution. You will work closely with Sales, Customer Success, Product, and Engineering teams to understand business requirements, define the scope of work, conduct solution reviews, and deliver customized solutions using APIs, conversational AI, automation platforms, and emerging AI development tools. What You Will Do Key responsibilities include designing and implementing chatbot, conversational agent, and AI-powered solutions tailored to client requirements, engaging directly with customers to understand their business challenges, explaining technical concepts, presenting solutions, and building confidence in the proposed approach, and translating business requirements into practical technical solutions, implementation plans, and scopes of work. Why It Might Be a Fit The ideal candidate is confident in customer interactions, able to convince and influence stakeholders, and comfortable using AI tools such as Claude, Codex, ChatGPT, and similar platforms to build solutions, prototypes, code, and reusable technical artifacts. Requirements Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related field. Minimum 3 years of experience in solution engineering, technical consulting, systems development, enterprise software implementation, or a related role. Demonstrated experience in a customer-facing role, including the ability to communicate confidently, present solutions, influence stakeholders, and handle client discussions independently. Hands-on experience using AI tools such as Claude, Codex, ChatGPT, or similar platforms to build solutions, prototypes, code, workflows, or other technical artifacts. Practical experience with chatbot technologies, conversational AI, generative AI, or conversational agent solutions. Proficiency in one or more of JavaScript, C++, and .NET, along with the ability to understand and work across multiple technologies. Strong knowledge of API integrations, particularly REST APIs, Call APIs, webhooks, and third-party service integrations. Experience with SaaS products and enterprise-level implementations. Familiarity with CPaaS products such as Email, Voice, WhatsApp, RCS, and marketing automation platforms. Strong problem-solving skills and the ability to convert business requirements into scalable technical solutions. Ability to work collaboratively with Sales, Customer Success, Product, Engineering, and other cross-functional teams. Experience with Agile methodologies is an advantage. Benefits Financial rewards & recognition Flexible work arrangements ESOP (Employee Stock Ownership Plan) Work-life balance and Well-being Career mobility Professional development International mobility

Skills and Technologies