Senior AI Platform Engineer (Agentic AI /LLM)

Project Description

We are looking for an experienced AI Platform Engineer to design and build AI-powered engineering solutions that automate software development, testing, deployment, and operational processes.

The role focuses on Agentic AI, Large Language Models (LLMs), automation frameworks, and platform integrations. You will work on building AI agents, orchestration workflows, evaluation frameworks, and automation pipelines that support modern software engineering teams.

Responsibilities

• Develop AI-powered applications and automation solutions using Python.
• Design and implement agent-based workflows and AI automation pipelines.
• Build integrations with Jira, Confluence, GitLab, Jenkins, and other engineering platforms.
• Develop and maintain APIs, automation services, and AI tooling.
• Create evaluation and monitoring frameworks for AI systems.
• Implement containerized solutions and CI/CD integrations.
• Collaborate with software engineering teams to integrate AI capabilities into development workflows.
• Contribute to technical architecture and engineering best practices.

Mandatory Skills

• Strong Python development experience.
• Commercial experience with Generative AI, LLMs, Agentic AI, RAG, or AI Automation.
• Experience with Claude, OpenAI, Azure OpenAI, or similar LLM platforms.
• Strong understanding of REST APIs and system integrations.
• Experience with Docker, Git, and CI/CD pipelines.
• Knowledge of software engineering best practices and testing.
• Ability to work with Java/Spring Boot applications when required.

Nice to Have

• MCP (Model Context Protocol).
• Multi-agent systems.
• AI evaluation frameworks.
• Prompt Engineering.
• LangChain, LlamaIndex, DeepEval, PromptFoo.
• Telecom domain knowledge.