Software Engineer Ii Backend Engineering Ai Agentic Platforms Akamai Technologies Bengaluru
Building backend systems and orchestration for agentic AI and LLMs—directly tied to AI developer platforms and agent integration.
About the Role
Software Engineer II on Akamai's Platform Engineering & AI Enablement team in Bengaluru responsible for building and maintaining backend services and APIs for enterprise agentic AI initiatives, including MCP servers, authentication/authorization frameworks, API governance, and orchestration platforms using Python and cloud containerization.
Job Description
Role
A Software Engineer II on the Platform Engineering & AI Enablement team responsible for designing, building, and maintaining backend services and APIs that support enterprise agentic AI initiatives. The role focuses on developing Model Context Protocol (MCP) servers, AuthN/AuthZ frameworks, API governance, and orchestration platforms to ensure secure, observable, and governable AI agents at scale.
Key Responsibilities
- Design, build, and maintain backend services and APIs (REST, GraphQL) supporting enterprise agentic AI.
- Develop and enhance MCP (Model Context Protocol) servers and integrate internal/external tools and data sources into the agent ecosystem.
- Implement authentication and authorization frameworks (OAuth2/OIDC, JWT, token exchange, mTLS) to secure MCP servers, agents, and LLM traffic.
- Develop Python-based services and integrate with agentic or LLM orchestration frameworks as project needs evolve.
- Govern enterprise API gateway platforms, manage MCP servers and agent/LLM usage, and implement orchestration workflows.
- Collaborate with architects, security, and platform teams to translate AI governance requirements into functional infrastructure.
Requirements
- 3 to 5 years of backend software engineering experience and a bachelor’s degree in Computer Science or related field.
- Hands-on experience with Python for backend services and familiarity with AI/agent frameworks.
- Experience designing and building APIs, including REST and GraphQL integration.
- Expertise with AuthN/AuthZ concepts and implementations such as OAuth2, OIDC, JWT, token exchange, and mTLS.
- Experience with API gateways or integration platforms and an understanding of microservices architecture and distributed systems principles.
- Exposure to MCP, event streaming platforms (Kafka, Spark, Flink), Redis, identity management, and cloud deployments using Docker/Kubernetes.
- Strong self-motivation, responsibility, and communication skills.