DWS AI Developer

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