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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.

TVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes TVARIT one of the most innovative AI companies in Germany and Europe.

Requirements:

• Python Experience: Minimum 3+ years.
• Software Development Experience: Minimum 8+ years.
• Data Engineering and ETL Workloads: Minimum 2+ years.
• Familiarity with Software Development Life Cycle (SDLC).
• CI/CD Pipeline Development: Experience in developing CI/CD pipelines for large projects.
• Agile Framework & Sprint Methodology: Experience with Jira.
• Source Version Control: Experience with GitHub or similar SVC.
• Team Leadership: Experience leading a team of software developers/data scientists.

Good to Have:

• Experience with Golang.
• DevOps/Cloud Experience (preferably AWS).
• Experience with React and TypeScript.

Responsibilities:

• Mentor and train a team of data scientists and software developers.
• Lead and guide the team in best practices for software development and data engineering.
• Develop and implement CI/CD pipelines.
• Ensure adherence to Agile methodologies and participate in sprint planning and execution.
• Collaborate with the team to ensure the successful delivery of projects.
• Provide on-site support and training in Pune.

Skills and Attributes:

• Strong leadership and mentorship abilities.
• Excellent problem-solving skills.
• Effective communication and teamwork.
• Ability to work in a fast-paced environment.
• Passionate about technology and continuous learning.

Note: This is a part-time position paid on an hourly basis. The initial commitment is 4-8 hours per week, with potential fluctuations.

Join TVARIT and be a pivotal part of shaping the future of software development and data engineering.

Job Description - Architect :

Role:

• Understand complex business problems and implement product features that are secure, scalable, robust, and easy to implement and maintain.
• Take full ownership of product features to implement, provide bug fixes and write tests and tooling for those features to ensure they work well at cloud scale.
• Plan and identify solutions and risks proactively
• Own delivery of assigned work in terms of committed date, scope, and quality
• Remain at the cutting edge of technology trends and use them to solve emerging problems
• Identifying and leading technical initiatives independently towards planned outcomes

Job Requirement:          

• Strong experience in developing enterprise web applications.
• Expertise in the Microsoft technology stack (http://asp.net/">ASP.NET MVC 3.5 / 4.0 / 4.5, Web API, SQL Server).
• Good knowledge of Client-side scripting – JavaScript and JQuery, Kendo.
• Knowledge of design patterns is required
• Ability to negotiate technical requirements with global customers
• Ability to communicate with technical experts as well as functional teams
• Demonstrated experience with non-functional requirements like performance, scalability, and security
• Demonstrate Subject Matter Expertise and ownership in the assigned technical area
• Demonstrate experience in mentoring technical teams
• Ability to own solutions for design and architecture
• Experience in Product Engineering is desirable.
• Experience in enterprise software development is desirable

We are looking for a hands-on technical expert who has worked with multiple technology stacks and has experience architecting and building scalable cloud solutions with web and mobile frontends. 

 What will you work on?

•  Interface with clients
• Recommend tech stacks
• Define end-to-end logical and cloud-native architectures
•  Define APIs
• Integrate with 3rd party systems
• Create architectural solution prototypes
• Hands-on coding, team lead, code reviews, and problem-solving

What Makes You A Great Fit?

• 5+ years of software experience 
• Experience with architecture of technology systems having hands-on expertise in backend, and web or mobile frontend
• Solid expertise and hands-on experience in Python with Flask or Django
• Expertise on one or more cloud platforms (AWS, Azure, Google App Engine)
• Expertise with SQL and NoSQL databases (MySQL, Mongo, ElasticSearch, Redis)
• Knowledge of DevOps practices
• Chatbot, Machine Learning, Data Science/Big Data experience will be a plus
• Excellent communication skills, verbal and written

The job is for a full-time position at our https://goo.gl/maps/o67FWr1aedo">Pune (Viman Nagar) office. 

(Note: We are working remotely at the moment. However, once the COVID situation improves, the candidate will be expected to work from our office.)