Platform AI Engineer

Company Description

Supervity is the trusted AI transformation technology partner for over 30 global enterprises and governments. The company is the creator and leader of the “AI Agents-as-a-Service” software category. Supervity offers the world’s most powerful Agentic AI software that collaborates with teams and performs tasks on business applications. Using a no-code “AI Coach,” business users can create and augment AI Agents at scale with simple prompts.

Required Skills & Experience

5+ years of hands-on experience in software engineering role.

Strong experience in AI and Agentic AI system development.

Expertise in Python and FastAPI for backend development.

Frontend development proficiency using ReactJS and Next JS.

Solid working experience with Docker and Kubernetes for containerization and orchestration.

Proficiency with Azure services, especially storage and container hosting.

Strong knowledge of RDBMS concepts and SQL.

Hands-on exposure to DevOps practices, including CI / CD, cloud deployment, and automation.

Strong analytical reasoning and problem-solving skills.

Excellent communication, documentation, and presentation abilities.

Experience working with vector databases, LLM operationalization, and enterprise-scale AI solution architecture.

Exposure to distributed systems.

Experience in mentoring and leading technical teams.

Key Responsibilities

Design, develop, and deploy advanced AI and Agentic AI applications and services.

Lead end-to-end technical execution across architecture, development, testing, deployment, and monitoring.

Build scalable backend systems using Python and FastAPI.

Work on interactive front-end applications using ReactJS.

Develop microservice-based solutions and deploy them using Docker and Kubernetes.

Leverage Azure cloud services (Azure Storage, containers, pipelines) for scalable AI workloads.

Integrate applications with RDBMS and ensure efficient and secure data handling.

Champion DevOps best practices, including CI / CD pipelines, automation, observability, and deployment optimization.

Present technical solutions and design approaches to internal and external stakeholders.

Mentoring and guiding team members in technical development and problem solving.

Collaborate with cross-functional teams to define product strategy, technical requirements, and implementation plans.