Applied AI Software Engineer
FOSSAFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Bengaluru, Karnataka, India
Key technologies and capabilities for this role
Common questions about this position
Key responsibilities include designing and developing scalable software solutions for AI-driven applications, collaborating with AI/ML teams to integrate models into production, writing clean code, developing APIs and microservices, implementing CI/CD pipelines, troubleshooting, and ensuring security and data privacy.
You will collaborate with cross-functional teams including AI researchers, data scientists, AI/ML teams, product managers, product, and UX teams to build scalable systems and translate business needs into technical solutions.
This information is not specified in the job description.
This information is not specified in the job description.
Strong candidates have expertise in software engineering for AI systems, experience integrating ML models into production, building scalable microservices and APIs, CI/CD practices, and working in cloud environments with a focus on performance, security, and real-time applications.
Automates customer interactions with AI solutions
Uniphore specializes in conversational AI solutions that automate and improve customer interactions. Its main products include tools for conversational automation, analytics, and virtual assistants, which help businesses enhance their customer service operations, cut costs, and boost service quality. Uniphore's technology integrates with existing customer service systems to automate routine tasks and provide real-time insights into customer interactions, making it easier for service agents to respond quickly and personally. Unlike many competitors, Uniphore has a strong focus on the financial services sector, serving notable clients like BNP Paribas Wealth Management and PNB MetLife. The company's goal is to empower businesses to leverage AI for better customer engagement and operational efficiency, generating revenue through a subscription model that allows clients to scale their usage as needed.