Chief Technology Officer

About GeniWay

GeniWay Technologies is building AI-powered products that help students learn effectively and make confident education and career decisions.

Our first product, Clario, combines multidimensional student assessment, career intelligence, personalized guidance, and AI-assisted counselling for Indian students and families.

With Clario’s initial platform nearing completion, our next major ambition is to build an AI-powered personalized learning platform that adapts learning experiences to each student’s knowledge, goals, learning patterns, motivation, and progress.

We are looking for an AI-native engineering leader to help turn this ambition into a trusted, scalable product.

The Opportunity

We are hiring a Founding AI Engineering Lead, CTO Track to become GeniWay’s full-time technical operating leader.

Your primary mandate will be to lead the engineering of our AI-powered personalized learning platform. You will also own the continued evolution, reliability, and scale-readiness of Clario.

This is not a conventional engineering management role or a role limited to integrating third-party AI APIs. It requires someone who can combine:

• deep applied-AI expertise;
• strong product and architectural judgment;
• hands-on full-stack engineering;
• engineering-team leadership; and
• responsible deployment of AI for students.

For an exceptional leader who demonstrates sustained company-level technology leadership, this role offers a credible pathway toward becoming GeniWay’s future CTO.

What You Will Build

The personalized learning platform is expected to progressively support:

• continuously evolving learner profiles;
• personalized learning pathways and interventions;
• adaptive content, practice, and assessments;
• AI tutors, mentors, and learning companions;
• multi-agent workflows for learning support and content operations;
• student progress, mastery, and engagement intelligence;
• evidence-grounded recommendations for students, parents, and educators;
• responsible human oversight, safety, and explainability.

You will help define the architecture, technical strategy, and delivery roadmap required to build these capabilities responsibly.

What You Will Own

AI Product and Platform Engineering

• Own the architecture and engineering of GeniWay’s personalized learning platform.
• Translate learning-product concepts into reliable AI-powered experiences.
• Design and build GenAI, agentic-AI, and ML-enabled workflows.
• Determine when to use LLMs, deterministic logic, retrieval, conventional ML, or human review.
• Build reusable AI-platform capabilities instead of isolated prompt-based features.
• Lead experimentation, evaluation, production deployment, and continuous improvement of AI capabilities.

Applied AI Quality and Safety

• Establish evaluation frameworks for accuracy, relevance, personalization, consistency, latency, and cost.
• Design safeguards against hallucinations, unsafe guidance, bias, prompt injection, and inappropriate student interactions.
• Build observability and feedback loops for AI behaviour in production.
• Ensure student-facing AI systems are explainable, privacy-conscious, age-appropriate, and human-supervised where required.
• Work with product and domain specialists to validate educational usefulness, not merely technical performance.

Product Engineering and Delivery

• Own end-to-end engineering delivery across AI, backend, frontend, data, and infrastructure.
• Lead or personally implement critical product capabilities when required.
• Establish predictable planning, development, testing, release, and incident-management practices.
• Scale and strengthen Clario while building the next product platform.
• Balance speed, product quality, maintainability, scalability, and operating cost.

Architecture and Data Foundations

• Define and evolve the application, AI, data, and cloud architecture.
• Build secure foundations for learner profiles, content intelligence, personalization, and analytics.
• Establish effective data pipelines, model interfaces, APIs, and platform services.
• Make pragmatic build-versus-buy and model-selection decisions.
• Reduce technical debt and material technology risks systematically.

Team and Technology Leadership

• Lead, mentor, and raise the effectiveness of the engineering team.
• Build strong AI and software-engineering practices across the organization.
• Help recruit future AI, data, and product engineers.
• Work closely with the Founder on product strategy, priorities, and technology investments.
• Develop GeniWay’s longer-term technology strategy and engineering organization.

Essential Capabilities

• Strong hands-on experience building and operating AI-powered products in production.
• Deep practical understanding of GenAI application architecture, LLM behaviour, prompting, context engineering, and structured outputs.
• Experience building agentic or multi-step AI workflows with appropriate controls and observability.
• Experience with retrieval-augmented generation, embeddings, semantic search, or knowledge systems.
• Ability to evaluate AI quality systematically rather than relying on subjective demonstrations.
• Strong Python, backend, API, database, and system-design capabilities.
• Ability to lead full-stack product engineering beyond the AI layer.
• Experience leading engineers and owning complex product delivery.
• Strong product judgment and ability to translate ambiguous goals into executable plans.
• High ownership, urgency, reliability, and transparent communication.

Strongly Preferred

• Experience building personalization, recommendation, adaptive-learning, tutoring, or conversational-AI products.
• Practical AI/ML experience involving experimentation, feature engineering, model evaluation, or predictive systems.
• Experience with LLMOps or MLOps, including evaluation, monitoring, versioning, and deployment.
• Experience designing AI guardrails and responsible student-facing systems.
• Experience as a founding engineer, technical lead, or early engineering leader.
• Experience building AI-native products from zero to one.
• Interest in learning science, education, and student outcomes.

What We Are Not Looking For

• A pure people manager who is no longer technically hands-on.
• A research-only AI specialist without strong product-engineering capability.
• Someone whose GenAI experience is limited to basic chatbot or API integrations.
• A generalist engineering leader with little evidence of applied-AI delivery.
• An advisor seeking influence without full-time operating accountability.

What Success Looks Like

First 90 Days

• Take operational ownership of GeniWay’s engineering function.
• Understand and strengthen Clario’s architecture, quality, and scale-readiness.
• Define the technical architecture and phased roadmap for the personalized learning platform.
• Establish AI evaluation, safety, engineering-quality, and release practices.
• Improve team accountability, execution rhythm, and delivery predictability.

First 6-9 Months

• Deliver the first meaningful version of the personalized learning platform.
• Establish reusable foundations for learner modelling, personalization, AI agents, evaluation, and observability.
• Demonstrate measurable educational and product value from AI capabilities.
• Build a dependable engineering and AI delivery organization.
• Demonstrate readiness for broader CTO-level responsibility.

Compensation and Growth

• Fixed compensation: ₹20L–₹25L per annum, based on capability and experience
• Performance-linked variable: Up to 15%–20%, tied to agreed outcomes
• Initial ESOP grant: Approximately 0.75%–1.25%, based on fit and expected ownership
• Leadership equity top-up: Potential additional 0.5%–1% after 12–18 months, based on sustained contribution and evolution toward CTO-level responsibility
• Leadership review: Formal assessment after six months, followed by a broader role and compensation review after 12 months

The CTO pathway is earned through demonstrated technology strategy, AI-product leadership, organizational impact, and company-level ownership.

Selected candidates will complete structured discussions covering applied-AI depth, architecture, hands-on engineering, product judgment, responsible AI, leadership approach, and long-term alignment.

Job Description

We are looking for a Senior AEM  Developer to join our team of bright thinkers and doers. You’ll use your problem-solving creativity to design, architect, and develop high-end technology solutions that solve our clients’ most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.

Your Impact:

• Drive the design, planning, and implementation of multifaceted applications, giving you breadth and depth of knowledge across the entire project lifecycle.
• Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our clients’ business.
• Constantly innovate and evaluate emerging technologies and methods to provide scalable and elegant solutions that help clients achieve their business goals.

Qualifications

• Overall experience of 4 to 8 years with 2-3 years of AEM including AEM 6.x .
• Strong hands on experience of Components, Templates, Taxonomy, metadata management, Forward and Reverse Replication, Workflows, Content Publishing and unpublishing, Tagging, Analytics, Deployment(Maven) and Content migration/ planning. · Significant hands-on design experience with AEM and very strong concepts of OSGi, Apache Sling, Apache Sightly, Apache Oak and Adobe Dispatcher
• Has worked on and implemented at least one of the popular Search engines with AEM like Solr, ElasticSearch or Lucene and involved in search queries performance tuning.
• Worked on integrations with popular products /Technologies like Salesforce, SSO, LDAP, API Gateways using ReST · Understands and implements the Quality Properties of the system in every day work including Accessibility, SEO, URL management, Security, Performance and Responsive architecture.
• Has implemented Quality Processes for projects like Continuous Integration (Bamboo/Jenkins/Git/BitBucket/Cloud Manager), SonarQube, Code reviews (Manual and Automated), code Formatters, Automation testing etc.
• Understanding of frontend technologies like Bootstrap, Backbone.js, ReactJS, Handlebars, Grunt, Angular, CSS3, HTML 5 and jQuery.
• Mastery of all core web and Java technologies including java 8/11, JEE, XML, XHTML, client/server-side scripting languages such as JavaScript, and JSP, HTL and web services development using Restful implementations.
• Good understanding of AEM capabilities including Multi-site manager (MSM) and Blueprinting, and the use of Online marketing components such as advanced targeting/personalization, and multi-variate testing, is preferred.
• Proficient knowledge of the end to end content lifecycle, web content management, content publishing/deployment, and delivery processes.
• Knowledge of Cloud native approaches and platforms including AWS, Azure or GCP. Understanding of AEM as Cloud Service.
• Familiarity with Adobe I/O Runtime and Adobe I/O Events.
• Good understanding of integration patterns and content-centric application development patterns using AEM Search, Commerce package or others platforms is preferred. Education:
• Full time Bachelor’s/Master’s degree (Science or Engineering preferred)

Set Yourself Apart With:

• Develop Digital Consumer experiences based on Adobe marketing product suite including Adobe Sites (AEM), CRX, WCM, Adobe Launch, Adobe Assets (DAM) & Adobe Social.
• Develop powerful features such as multi-site and multi-channel delivery, personalization/targeting, content aggregation & syndication, multi-lingual support, automated workflow management, social media etc.
• Diagnose and solve technical problems related to web content management implementation.
• Interact with clients to create end-to-end specifications and solution architecture for content & collaboration solutions.
• Mentor and provide inputs and direction to senior developers on the team for design and implementation.
• Collaborate with your architect to define implementation processes and quality gates and standards
• Write application code and extensions for the AEM platform that exceeds the defined quality standards

Additional Information

• Gender-Neutral Policy
• 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)
• Generous parental leave and new parent transition program
• Flexible work arrangements
• Employee Assistance Programs to help you in wellness and well being  

• Draw up enterprise-wide architecture blueprint and enforce its implementation across products and systems
• Build from ground up, a scalable Enterprise platform infrastructure with multiple client applications and enterprise connectors
• Design, develop and deploy features and APIs with high quality standards
• As an individual contributor, evaluate technology options, build PoCs and prototypes
• Manage the infrastructure hosted in the Cloud. Monitor system reliability, uptime and security.
• Contribute significantly in reviewing architecture, code, design & test-cases authored by peers.

• 8-10 years of design and development experience building scalable & distributed systems
• Hands-on experience on one or more of the following tech stacks:
  • Python-Django, PostgreSQL, MongoDB, nginx, RabbitMQ, Redis
  • Microservices, REST APIs, NodeJS, Celery, Elastic Search, Logstash, Kibana
• Good understanding of OOPS concepts, design patterns, SQL. Good at troubleshooting/debugging.
• Experience with managing server infrastructure in GCP, Azure and AWS cloud.
• Bachelor’s or Master’s degree in Engineering from reputed institutes
• Nice to have: Hands-on experience with analytics using Kibana and Elastic Search

Responsibilities

• Design and implement features spanning across systems in a manner that satisfies requirements of performance, scale, security and robustness
• Contribute to improvement of technology and execution processes in the company
• Collaborate in setting technology standards with technology leaders across the company
• Serve as a knowledge center on current and emerging technologies, and help train others when required
• Foster a strong technical culture by mentoring other engineers
• Keep up to date with the latest technologies, evaluate new tools

Relevant Experience and Qualifications 

• Demonstrated expertise in system-level design of large scale distributed systems on the Java stack, and experience with web services and service oriented architectures
• Solid experience with Spring (Core/Boot/Security/MVC/Data)
• Have 8 - 12  years of professional experience in software development.
• Extensive experience with modern open source systems including relational / non relational data stores and bigdata processing
• Experience with AWS stack, at least the common datastores and services 
• Experience with containerization technologies and concepts including Docker
• Basic knowledge about security concepts and secure coding
• Excellent analytical, conceptual and communication skills in spoken and written English.
• Experience leading projects developed across continents.

Great to have Experience and Qualifications 

• Knowledge of machine learning concepts, and some hands-on experience implementing machine learnt models
• Experience with infrastructure design for cloud based apps, especially AWS.
• Past experience with information and data security standards (PCI-DSS, ISO27000) very nice to have.