Jr Software Platform Engineer

This is an excellent opportunity for someone early in their career to grow into advanced AI engineering, agentic architectures, and enterprise-scale AI delivery.

• Assist in designing, developing, and testing AI agents, GenAI workflows, and LLM-powered solutions.
• Support implementation of retrieval-augmented workflows (RAG) including embeddings, vector databases, and context engineering.
• Develop Python-based backend components, APIs, and integration logic for AI-driven systems.
• Collaborate with senior AI engineers to build multi-agent workflows, tool integrations, and agent orchestration pipelines.
• Contribute to development within AI platforms, Azure AI Foundry, and MCP-based tool ecosystems.
• Work with business stakeholders to understand problem statements and translate them into AI-enabled solutions.
• Perform testing, validation, and evaluation of LLM outputs, including applying guardrails and quality checks.
• Maintain documentation for prompts, workflows, tools, and AI system behaviors.
• Participate in Agile ceremonies and sprint activities within the AI engineering team.
  
  

• LLMs
• Embeddings
• Vector databases
• Prompt engineering
• Retrieval workflows (RAG)
• Experience with API development or integrating with REST-based services.
• Exposure to cloud platforms such as Azure (preferred), AWS, or GCP.
• Strong analytical and problem-solving skills.
• Good communication, a learning mindset, and the ability to collaborate with cross-functional teams.
  
  

• LangChain
• LangGraph
• Azure AI Agent Services
• Familiarity with MCP (Model Context Protocol) concepts and tool integrations.
• Basic understanding of vector search (Azure AI Search, Pinecone, FAISS).
• Experience with GitHub Copilot, OpenAI Vibe Coding, or similar AI coding assistants.
• Knowledge of cloud-native development (Functions, Storage, APIM, serverless patterns, Azure App Services).
• Understanding common AI safety and governance principles.
• Exposure to agile development practices.