Description and Requirements

Profile Summary

An experienced development professional with hands-on technical expertise and is capable of end-to-end development, from ideation to deployment. He/she will be responsible in developing Minimum Viable Products (MVPs)for a range of AI-driven digital workplace solutions focused on productivity, user experience, efficiency and automation. He/she shall act as liaison and product owner for external development teams to scale these MVPs into full-featured products. He/she must collaborate with the CTO and other members of the CTO organization to design the architecture of new products and features. Ensure that solutions/products developed are well-structured, maintainable, and aligned with long-term technical strategy of the organization.

Job Responsibilities

Below listed are the key responsibilities the suitable expert is expected to deliver.

MVP Development

Architect, develop, and deploy robust and scalable MVPs for AI-powered digital workplace products.
Collaborate with product managers, UX/UI designers, and other teams to translate high-level product requirements into detailed technical specifications.
Break down technical specifications into features and capabilities for the target state and document them for the project teams to understand and deliver.
Work with security & privacy compliance team to ensure the products are secure by design and comply with privacy laws across the globe
Select most appropriate technologies and frameworks for each project to ensure efficiency and performance.
Build the core functionality of the product, including frontend user interfaces, backend logic, and database systems leveraging frontend frameworks and backend APIs as necessary.

AI and Machine Learning Integration

Design and implement AI and machine learning models to enable predictive and proactive capabilities for the products being developed.
Perform synthetic data simulation, data preparation, model training, and integration of AI services into the product effectively.
Leverage appropriate tools and APIs to drive intelligent decision-making capabilities based on data analytics to create automated, and efficient workflows within the product.

Technical Leadership & Liaison

Be the primary technical point of contact and subject matter expert for internal/external development teams.
Liaise with partners (e.g., ServiceNow, Lakeside) and ISVs (e.g., Yellow.AI) to integrate their capabilities into the products being developed.
Write/help write clean, maintainable, and well-documented code across the entire stack, perform code reviews for standards and compliance along with relevant teams where required.
Actively be involved in all phases of the product lifecycle, beyond initial concept and design to deployment, maintenance, and ongoing iteration.
Provide technical guidance when required to ensure successful completion of product development on time.
Articulate any complex technical concepts and product prerequisites to implementation/transformation teams.

Required Skills & Qualifications
Programming Languages

Expertise in multiple programming languages (e.g., Python, JavaScript, Java, .NET, Go) and a deep understanding of their associated frameworks (e.g., React, Vue.js) and ecosystems.

AI/ML Expertise

Extensive hands-on experience in building and deploying AI and machine learning models.
Experience in working with AI libraries and platforms (e.g., Scikit-learn, TensorFlow, PyTorch)
Practical experience of integrating pre-trained or custom AI models via APIs

Full-Stack Capabilities

A strong portfolio demonstrating successful full-stack projects, including a solid understanding of frontend, backend, and database technologies.

Design Collaboration

Proficiency in using modern design collaboration tools (e.g., Figma, Sketch, or Adobe XD) to view and inspect design mock-ups, understand specifications, and extract assets.

Communication Skills

Exceptional communication skills, both written and verbal, with the ability to lead and mentor remote teams and present complex technical information in a clear and concise manner.

Problem-Solving Ability

A creative and pragmatic problem-solver that can quickly build functional prototypes and is comfortable working in a fast-paced, dynamic environment.

Experience:

8-10 years of development experience that includes AI and Machine Learning Experience, with a strong portfolio that demonstrates a history of designing successful enterprise SaaS or digital workplace products.
Prior experience in a start-up/start-up like environment or a similar role focused on rapid prototyping and iterative development.

Qualifications Required

A technical bachelor's or master's degree preferably in Computer Science, Data Science, or a related technical field.
A strong portfolio or public code repository (e.g., GitHub)
Familiarity with DevOps best practices and tools.

Preferred Qualities

Experience of working directly working under executive leadership
Prior experience developing products for the digital workplace or enterprise SaaS market
Hands-on experience with generative AI, large language models (LLMs), or other cutting-edge AI technologies

DWS AI Developer