Job Title: Engineering Lead / Architect Experience : 6+ years Location : On-site Company : VoiceOwl We’re seeking an Engineering Lead / Architect to design, build, and guide the development of our next-generation voice AI platform. This role combines deep technical expertise with hands-on leadership — shaping architecture, mentoring engineers, and ensuring we deliver high-quality, scalable solutions. Responsibilities Own the overall technical architecture and system design of our platform (including APIs, services, data layers, and integrations) Choose appropriate technologies, frameworks, and tools to align with business and product goals Define and review API contracts, data models, and infrastructure components Break down product features into detailed engineering tasks and estimate effort Set and enforce coding standards, security practices, and performance guidelines Mentor, coach, and review code from engineering team members Collaborate closely with Product, UX, DevOps, and QA teams to ensure alignment and quality Oversee scalability, reliability, and cost optimization of cloud infrastructure Contribute hands-on to critical components, especially during initial builds or high-impact phases Qualifications 6+ years of engineering experience, with 2+ years in a lead or architect role Strong experience designing and building large-scale, distributed systems (preferably cloud-native, microservices) Deep knowledge of API design, databases (SQL/NoSQL), and event-driven architectures Hands-on expertise with technologies such as Node.js or TypeScript (additionally Python is a plus). Experience with AWS or Azure cloud services Strong understanding of CI/CD, security best practices, and monitoring
About the Role We are looking for AI Agent Creators who can design, build, and refine intelligent agents that think, reason, and act through prompts, logic, and tools. You will define how agents understand context, execute actions, and deliver results. Key Responsibilities • Design and develop Voice AI agents with well-structured prompts and clear task logic. • Write and iterate prompts to improve reasoning, adaptability, and tone. • Create and integrate functions or tools (MCP-based or custom) to extend agent capabilities. • Define conversational or goal-oriented workflows. • Design, evaluate, and improve agent performance using defined test cases. Must-Have Skills • Proven ability to create or configure AI agents on any platform. • Experience writing structured prompts and optimising model behavior. • Familiarity with function calling, tool creation, or MCP-style integrations. • Strong analytical thinking and clarity in describing reasoning steps. Good-to-Have Skills • Experience with Voice Agents. • Experience with agent evaluation frameworks or systematic testing. • Ability to work with TypeScript (Node.js), Python, or Go. • Prior exposure to conversational or goal-driven agent design. • Understanding of memory, context, and reasoning principles in AI systems. Who Can Apply • Open to freshers and early professionals with a solid understanding of AI agents and prompt design. • Candidates with personal projects, demos, or GitHub samples are encouraged to apply. • On Site, Indore.
Company Description VoiceOwl is a no-code Agentic AI platform revolutionizing customer interactions through intelligent, autonomous conversations. With its multi-agent architecture and real-time adaptability, VoiceOwl enables businesses to create scalable AI agents without requiring technical expertise. From automating workflows to providing actionable insights, the platform eliminates inefficiencies in traditional contact centers. Seamlessly integrating with enterprise systems, VoiceOwl ensures personalized, efficient customer engagements while reducing operational costs. Join us in transforming enterprise AI-powered conversations with innovative, goal-driven automation tools. Role Description This is a full-time, on-site role based in Indore for an AI Agent Creator (Prompt Engineer). The AI Agent Creator will design, test, and refine prompts to ensure effective performance of AI agents. Responsibilities include collaborating with cross-functional teams, applying natural language processing (NLP) and AI principles, assessing AI-generated output, and creating innovative solutions to improve communication with users. Monitoring and optimizing AI behavior in real-time to enhance decision-making and self-optimization will also be key components of the role. Qualifications Expertise in Natural Language Processing (NLP) concepts, and AI tools and frameworks Strong ability in crafting, testing, and refining prompts for goal-driven AI behavior Proficiency in analyzing, evaluating, and optimizing AI-generated output Experience in working with cross-functional teams and collaborating on AI-driven projects Strong problem-solving skills and attention to detail to enhance AI efficiency Exceptional communication and analytical thinking skills Bachelor's degree in Computer Science, Linguistics, Artificial Intelligence, or a related field Prior experience in conversational AI technologies is a plus
As an Engineering Lead/Architect at VoiceOwl, you will play a crucial role in designing, building, and guiding the development of the next-generation voice AI platform. Your deep technical expertise and hands-on leadership will be instrumental in shaping the architecture, mentoring engineers, and ensuring the delivery of high-quality, scalable solutions. **Key Responsibilities:** - Own the overall technical architecture and system design of the platform, including APIs, services, data layers, and integrations. - Select appropriate technologies, frameworks, and tools to align with business and product goals. - Define and review API contracts, data models, and infrastructure components. - Decompose product features into detailed engineering tasks and estimate effort. - Establish and enforce coding standards, security practices, and performance guidelines. - Mentor, coach, and review code from engineering team members. - Collaborate closely with Product, UX, DevOps, and QA teams to ensure alignment and quality. - Supervise scalability, reliability, and cost optimization of cloud infrastructure. - Contribute hands-on to critical components, especially during initial builds or high-impact phases. **Qualifications:** - 6+ years of engineering experience, including 2+ years in a lead or architect role. - Extensive experience in designing and building large-scale, distributed systems, preferably cloud-native and microservices. - Profound knowledge of API design, databases (SQL/NoSQL), and event-driven architectures. - Hands-on expertise with technologies like Node.js or TypeScript (Python is a plus). - Experience with AWS or Azure cloud services. - Strong understanding of CI/CD, security best practices, and monitoring.,