Developer

About the Role

Key Responsibilities

• Define and implement GenAI building standards to ensure consistency, quality, and scalability across projects.
• Stay abreast of advancements in GenAI and agentic systems, translating emerging trends into actionable opportunities.
• Hands-on engineer in technical design and development of AI applications using existing and/or emerging technology.
• Work closely with product managers, data scientists, and other stakeholders to translate business requirements into scalable and efficient AI solutions.
• Collaborate with cross-functional teams to execute the AI technology roadmap, aligning with business objectives and industry trends.
• Stay abreast of the latest advancements in AI technologies, guiding the team in adopting best practices and cutting-edge methodologies.
• Responsible for development of AI-specific software/platform components.
• Investigate and resolve production management incidents, problems, and service requests.
• Implement AI technology best practices, architecture, and technology stack including cloud, data, and emerging technologies.
• Adopt Agile ways of working in the software delivery lifecycle and pursue continuous learning of new methods and technologies.

Requirements

• 5+ years in development using multiple technology stack capabilities (Front/End, API, Database Management, Hosting technologies, etc.) in digital transformation projects.
• Proven expertise in developing and delivering GenAI applications, including agentic systems.
• Strong understanding of modern AI/ML frameworks, cloud platforms (Azure, AWS, GCP), and data engineering practices.
• Experience with LLMs, transformers, and understanding of agentic systems, current limitations, and opportunities.
• Experience in implementing Enterprise AI solutions leveraging AI/ML models.
• Proficiency in programming languages such as Python and AI frameworks like TensorFlow and PyTorch.
• Strong grounding in data engineering and design to support AI workloads.
• Hands-on experience with Azure AI offerings is an advantage.
• Strong analytical and problem-solving skills focused on delivering practical, scalable solutions.
• Experience with modern technology stacks including cloud native patterns, API and web applications, and AI/Big Data.

Nice to Have

• Hands-on experience on Azure AI offerings.

Qualifications

• Bachelor of Computer Science.

Benefits & Perks

• Salary range of $100,000-$125,000 per year.