AI Engineer

and the job listing Expires on July 24, 2026

The AI Developer supports the design, development, and implementation of AI-driven solutions that address business problems and enable data-driven decision-making. The role combines hands‑on technical work with analytical thinking and client‑focused solutioning, performed under the guidance of senior AI consultants and architects.

• Writing code (predominantly in Python, R, Java, or C++) to implement AI algorithms.
• Integrating AI models into existing software applications and deploying them to production environments, such as cloud platforms including AWS and Azure.
• Testing, troubleshooting, and tuning algorithms to enhance performance, accuracy, and efficiency.
• Working with data scientists, software engineers, and stakeholders to translate business needs into technical solutions.
• Assisting in analyzing business requirements and translating them into AI-based technical solutions.
• Developing and enhancing AI applications using Python and Java, with a focus on scalable and maintainable design.
• Performing data analysis, data cleansing, and exploratory analysis to support AI/ML use cases.
• Supporting the development and testing of AI models, prompts, and workflows.
• Adhering to organizational standards, security practices, and responsible AI guidelines.

Master’s Degree (preferred) in Engineering, Computer Science, Data Science, AI, or a related discipline.

• High proficiency in Python (essential), along with Java, C++, or R.
• Strong understanding of Machine Learning (supervised/unsupervised), Deep Learning, Neural Networks, Natural Language Processing (NLP), and Computer Vision.
• Familiarity with AWS, Google Cloud AI, or Microsoft Azure for deployment, along with Docker and Kubernetes.
• Proficiency in Git and Git Hub.

• Exposure to AI solution development, working at the intersection of technology and business.
• Hands‑on experience with OpenAI and generative AI technologies in enterprise use cases.
• Opportunity to work on real client problems in regulated domains such as healthcare.
• Experience in data‑driven storytelling, insights generation, and solution recommendation.
• Practical understanding of responsible AI, governance, and ethical AI practices.
• Mentorship from experienced AI consultants and architects.

By the end of the role, the AI Developer will:

• Understand how to analyze business problems and map them to AI solutions.
• Gain practical experience in Python-based AI development and OpenAI integrations.
• Learn to perform effective data analysis and insight generation.
• Develop foundational consulting skills such as requirement analysis, documentation, and stakeholder communication.
• Build awareness of the AI solution lifecycle—from ideation to deployment.
• Be prepared to transition into roles such as AI Consultant, Associate AI Engineer, or Generative AI Specialist.