AI Full Stack Engineer

We are seeking an experienced Full Stack Developer with 3-5 years of experience in building modern enterprise applications and digital solutions. The ideal candidate should possess strong expertise across front-end and back-end technologies and demonstrate proficiency in leveraging AI-powered development methodologies to accelerate software delivery, improve quality, and drive innovation.

This role requires a developer who views AI as a core engineering capability rather than simply a coding assistant. The candidate should be capable of utilising AI throughout the software development lifecycle, including requirement analysis, solution design, architecture generation, code development, testing, documentation, code reviews, debugging, optimisation, and deployment automation. The candidate must be able to independently reason about and validate AI-generated output, rather than accepting AI-suggested code at face value, verifying whether the underlying logic is correct, efficient, and the most appropriate of the several possible ways to solve a problem. This role is looking for candidates who bring that discipline.

The ideal candidate will have experience using modern AI development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Windsurf, or similar platforms to rapidly develop, maintain, and enhance enterprise-grade applications. Exposure to Pharmaceutical, Life Sciences, Clinical Research, or Healthcare domains will be considered a significant advantage.

Responsibilities:

• Design, develop, test, and deploy enterprise-grade full-stack applications using modern development frameworks and cloud technologies.
• Utilise AI-assisted development methodologies to improve productivity, code quality, and delivery timelines.
• Leverage AI tools for: Requirement analysis and technical solution design.
• Architecture and component design recommendations.
• Code generation and refactoring.
• Unit test and integration test generation.
• Automated documentation creation and maintenance.
• Code review, debugging, and optimisation.
• CI/CD pipeline automation and deployment support.
• Build scalable front-end applications using React, Angular, or similar frameworks.
• Develop secure and performant backend services, APIs, and microservices.
• Integrate enterprise applications with AI services, LLM APIs, workflow automation platforms, and intelligent assistants.
• Engage directly with clients and business stakeholders to understand real-world scenarios and requirements, and translate those conversations into sound problem-solving approaches and technical designs.
• Collaborate with business stakeholders and domain experts to translate requirements into scalable technical solutions.
• Apply prompt engineering techniques and AI workflow orchestration to maximise the effectiveness of AI-assisted development.
• Ensure AI-generated code adheres to enterprise coding standards, security requirements, architectural guidelines, and regulatory compliance standards.
• Contribute to the development of AI-enabled products, intelligent workflows, automation solutions, and digital transformation initiatives.
• Stay updated on emerging AI engineering practices, agentic development workflows, and next-generation software development methodologies.

Requirements:

• 3-5 years of experience in full-stack development.
• Strong expertise in: React.js / Angular, JavaScript / TypeScript, HTML5 / CSS3, Python, Node.js, . NET, or Java, REST APIs and Microservices Architecture
• Experience working with SQL and NoSQL databases.
• Strong understanding of software architecture, design patterns, and scalable application development.
• Strong grasp of core programming logic and problem-solving fundamentals, able to reason through a problem independently of AI tools, and confidently judge whether an AI-suggested solution is correct, well-structured, and efficient, or needs to be reworked.
• Hands-on experience with AI-assisted software development tools such as GitHub Copilot, Claude, Cursor, ChatGPT, Windsurf, and similar AI coding assistants

Experience using AI for:

• Code generation
• Test automation
• Documentation generation
• Code review and optimization
• Debugging and troubleshooting
• Development workflow automation
• Understanding of Generative AI concepts, LLMs, Prompt Engineering, AI Agents, MCP (Model Context Protocol), RAG architectures, and AI integrations.
• Experience integrating AI APIs and intelligent automation capabilities into enterprise applications.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Exposure to cloud data platforms such as Snowflake and Databricks is desirable.
• Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
• Understanding of secure AI adoption, governance, and responsible AI development practices.
• Experience working in Agile/Scrum development environments.
• Prior experience interacting directly with clients, e. g., participating in client calls, working through client-shared scenarios, or gathering requirements, is a strong plus, as it reflects the logic-building and problem-solving maturity this role requires.

Preferred:

• Experience building AI-powered applications, intelligent assistants, AI agents, or workflow automation solutions.
• Experience working in Pharmaceutical, Clinical Research, Healthcare, or Life Sciences domains.

Professional Attributes:

• Strong analytical and problem-solving skills.
• Ability to translate business requirements into scalable technical solutions.
• Excellent communication and stakeholder management skills, including direct client interaction and the ability to work through client-facing scenarios.
• Ability to work independently and collaboratively within cross-functional teams.
• Strong learning mindset with a passion for emerging technologies and AI innovation.
• Ability to effectively manage multiple priorities in a fast-paced environment.
• Strong attention to detail and commitment to delivering high-quality solutions.
• Sound judgment in evaluating AI-generated outputs- able to distinguish correct from incorrect logic, and efficient from unnecessarily time-consuming implementations.

Experience:

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3-5 years of relevant experience in Full Stack Development.
• Experience building enterprise-grade web applications and APIs.
• Exposure to Clinical Research, Healthcare, Pharmaceutical, or Life Sciences domains is highly desirable.
• Experience integrating AI services, LLM APIs, intelligent assistants, or automation solutions will be an added advantage.
• Experience building cloud-native applications and deploying solutions on AWS, Azure, or GCP will be preferred.
• Knowledge of AI-assisted software engineering practices and modern development workflows will be considered a strong plus.
• Demonstrated client interaction or client-facing project experience will be considered a strong plus.