About US ConvoZen AI builds conversational intelligence and automation products that help organizations deliver friction-less, human-grade customer experiences at scale. Our platform blends LLM-powered natural-language capabilities with flexible APIs and SDKs so enterprises can embed smart, context-aware conversations into any workflow or channel. Role Overview We're looking for aTechnical Solution Architect who is equally comfortable white-boarding architectures with CTOs and diving into source code with fellow engineers. You will be the technical face of ConvoZen AI during pre-sales discovery, onboarding, and post-launch expansionowning every integration touch-point that makes our customers successful. Key Responsibilities % of Time Responsibility- 40 %Technical Solutioning & Discovery Lead technical workshops, map client requirements to ConvoZen APIs/webhooks, and draft solution architectures & sequence diagrams. 30 %Integration & Implementation Build reference integrations (Node, Python, Java, REST/GraphQL), author sample code and Postman collections, and guide customers through deployment best practices (OAuth, rate limits, security, observability). 15 %Developer Advocacy Create how-to guides, SDK docs, quickstart repos, and demo apps; present at webinars or developer events. 10 %Troubleshooting & Support Escalation Help triage complex issues, reproduce edge-cases, and feed learnings back to Product/Engineering. 5 %Voice of Customer Collect and synthesize integration feedback, feature requests, and competitive insights for roadmap prioritization. Minimum Qualifications 3+ years building or integrating RESTful/GraphQL APIs, webhooks, or real-time messaging systems. Proficiency in at least one modern language (JavaScript/TypeScript, Python, or Java). Solid grasp of OAuth 2.0/OIDC, JWT, and common SaaS auth patterns. Experience with cloud-native stacks (AWS/GCP/Azure), CI/CD, and containerization (Docker/K8s). Ability to translate ambiguous business requirements into clear technical deliverables and articulate trade-offs to both engineers and non-technical stakeholders. Excellent written & verbal communication skills in English; strong documentation discipline. Nice-to-Have Past work with conversational AI, NLP, voice bots, or customer-support platforms (e.g., Zendesk, Genesys, Twilio, Intercom). Familiarity with enterprise integration patterns (ESB, iPaaS, middleware) and event-driven architectures (Kafka, Pub/Sub). Contributions to open-source projects or public tech blog posts/tutorials. Experience working in high-growth SaaS startups or customer-facing consulting roles.
Company Description ConvoZen.AI is a Gen-AI powered conversational intelligence tool that helps businesses understand their customers better. Leveraging cutting-edge machine learning algorithms, ConvoZen.AI revolutionizes how businesses interact with their customers across all conversation channels. The company is based in Bangalore, India and was founded in 2021. ConvoZen.AI offers a plug-and-play voice bot with multilingual capabilities to enhance customer experience and drive business growth. Role Description This is a full-time on-site AI Engineer role located in Bengaluru at ConvoZen.AI. The AI Engineer will be responsible for implementing cutting-edge AI technologies, developing and optimizing neural network models, and working on pattern recognition, natural language processing (NLP), and software development to extract insights from customer conversations. Qualifications Pattern Recognition and Neural Networks expertise Strong background in Computer Science Experience in Software Development Knowledge of Natural Language Processing (NLP) Proficiency in Python, TensorFlow, and other relevant programming languages and tools Master's or Ph.D. in Computer Science, Artificial Intelligence, or related field Excellent problem-solving skills and ability to work in a fast-paced environment
About Us: NoBroker.com is the world's largest brokerage-free real estate marketplace, dedicated to transforming the real estate experience with cutting-edge products. Founded by IIT Bombay, IIT Kanpur, and IIM Ahmedabad alumni in 2014, We've raised $366M from prominent investors like General Atlantic, Tiger Global, and Saif Partners. Our comprehensive real estate ecosystem includes NoBrokerHood for community management, NoBroker HomeServices for property management, and a range of services like Legal Services, Rental Agreements, Packers & Movers, HomeLoans, Rent Payments, and more. ConvoZen.AI: We are also proud to offer ConvoZen.AI, our state-of-the-art conversational AI tool. ConvoZen.AI leverages advanced NLP and large language model (LLM) technologies to provide organizations with actionable insights from customer conversations. This innovative solution is revolutionizing how businesses interact with their customers, making it a focal point of our data science endeavors. About the Role: The Head of Customer Engineering is a pivotal leadership role responsible for our Forward Deployed Engineering (FDE) team. This team consists of highly skilled AI agent builders who are experts in prompt engineering, tool orchestration, multi-agent systems, APIs, and modern application deployment. You are a player-coach at heartsomeone who can mentor a team of elite technical talent while also commanding a room of C-level executives. You will be the key technical bridge between our customers most ambitious goals and our platform's capabilities. Your mission is to ensure customer success by building a scalable, world-class technical engagement model that delivers unparalleled value and drives adoption. What You'll Do: Team Leadership & Development: Lead, mentor, and grow a high-performing team of Forward Deployed Engineers. Develop career paths, provide continuous feedback, and foster a culture of technical excellence, customer-centricity, and innovation. Manage team resourcing and project allocation to ensure optimal customer engagement. Technical Strategy & Architecture: Define and own the technical playbook for customer engagements, from initial solution architecture to full-scale deployment. Establish best practices for AI agent building, including prompt engineering, tool/API integration, multi-agent orchestration, and security. Act as the senior technical architect for our most complex and strategic customer implementations, guiding both your team and the customer. Customer Engagement & Pre-Sales Partnership: Serve as the senior technical advisor for our strategic customers, building deep, trusted relationships with their technical leadership (VPs of Eng, CTOs, Lead Architects). Partner closely with the Sales team during the pre-sales cycle, leading technical discovery, building compelling proofs-of-concept (POCs), and architecting solutions that map to customer needs. Ensure a seamless handover from pre-sales to post-sales, owning the customer's technical success and long-term adoption. Cross-Functional Collaboration: Be the voice of the customer to our Product and Engineering teams. Funnel critical, real-world feedback to shape our product roadmap and platform improvements. Collaborate with Marketing to develop technical case studies, white papers, and best-practice guides. Work with core Engineering to understand upcoming features and prepare your team to implement them effectively with customers. Operational Excellence: Develop scalable processes, documentation, and internal tooling to increase the efficiency and impact of the FDE team. Define and track key performance indicators (KPIs) for the team, such as time-to-value, customer satisfaction, and solution adoption rates. Who You Are (Qualifications) Proven Leader: 2+ years of experience managing, mentoring, and scaling high-performing technical teams (e.g., Customer Engineering, Solutions/Sales Engineering, Forward Deployed Engineering, or Professional Services). Customer-Facing Expert: 5+ years of experience in a senior, customer-facing technical role. You have a proven ability to build trust and communicate complex technical concepts to both technical and non-technical audiences, from developers to C-level executives. Hands-on Generative AI Expert: Demonstrable, deep experience with the modern AI stack. You must be able to: Write and refine complex prompts (prompt engineering). Design and build AI agents that use tools (function/tool calling). Understand and have opinions on multi-agent orchestration patterns (e.g., supervisor/worker, sequential). Experience with agent-building frameworks (e.g., LangChain, LlamaIndex) and RAG (Retrieval-Augmented Generation). Strong Generalist Technologist: Expertise in designing and integrating solutions using REST APIs, gRPC, or similar. Strong understanding of the standard application stack, cloud platforms (AWS, GCP, Azure), databases (SQL, NoSQL, Vector DBs), and deployment methodologies (Docker, Kubernetes, CI/CD). Proficient in at least one programming language, ideally Python. Strategic & Business-Minded: You don't just solve technical problems; you build solutions that solve business problems. You can see the big picture and effectively prioritize. Bonus Points Experience in a fast-paced, high-growth startup environment. A publicly visible portfolio of work (e.g., GitHub projects, technical blog posts, conference talks) related to generative AI. Direct experience building and scaling a forward deployed or customer engineering function from the ground up. Why Join ConvoZen AI Lead the Charge: This is a high-impact, high-visibility role. You will be building and leading the team that is directly responsible for our customers success with generative AI. Work on the Frontier: You'll be solving novel, complex problems at the absolute cutting edge of technologyno two days will be the same. Build the Future: You will directly influence the product roadmap of a next-generation AI platform, using your unique insight from real-world customer deployments. World-Class Team: We are a small, focused team of passionate, brilliant, and kind people who are dedicated to building something truly transformative.
About US ConvoZen AI builds conversational intelligence and automation products that help organizations deliver friction-less, human-grade customer experiences at scale. Our platform blends LLM-powered natural-language capabilities with flexible APIs and SDKs so enterprises can embed smart, context-aware conversations into any workflow or channel. Role Overview We're looking for aSolution Architect (Customer Facing) who is equally comfortable white-boarding architectures with CTOs and diving into source code with fellow engineers. You will be the technical face of ConvoZen AI during pre-sales discovery, onboarding, and post-launch expansionowning every integration touch-point that makes our customers successful. Key Responsibilities % of Time Responsibility- 40 %Technical Solutioning & Discovery Lead technical workshops, map client requirements to ConvoZen APIs/webhooks, and draft solution architectures & sequence diagrams. 30 %Integration & Implementation Build reference integrations (Node, Python, Java, REST/GraphQL), author sample code and Postman collections, and guide customers through deployment best practices (OAuth, rate limits, security, observability). 15 %Developer Advocacy Create how-to guides, SDK docs, quickstart repos, and demo apps; present at webinars or developer events. 10 %Troubleshooting & Support Escalation Help triage complex issues, reproduce edge-cases, and feed learnings back to Product/Engineering. 5 %Voice of Customer Collect and synthesize integration feedback, feature requests, and competitive insights for roadmap prioritization. Minimum Qualifications 3+ years building or integrating RESTful/GraphQL APIs, webhooks, or real-time messaging systems. Proficiency in at least one modern language (JavaScript/TypeScript, Python, or Java). Solid grasp of OAuth 2.0/OIDC, JWT, and common SaaS auth patterns. Experience with cloud-native stacks (AWS/GCP/Azure), CI/CD, and containerization (Docker/K8s). Ability to translate ambiguous business requirements into clear technical deliverables and articulate trade-offs to both engineers and non-technical stakeholders. Excellent written & verbal communication skills in English; strong documentation discipline. Nice-to-Have Past work with conversational AI, NLP, voice bots, or customer-support platforms (e.g., Zendesk, Genesys, Twilio, Intercom). Familiarity with enterprise integration patterns (ESB, iPaaS, middleware) and event-driven architectures (Kafka, Pub/Sub). Contributions to open-source projects or public tech blog posts/tutorials. Experience working in high-growth SaaS startups or customer-facing consulting roles.