AI Engineer

Design and implement machine learning algorithms that can handle large datasets and provide actionable insights. Collaborate with cross-functional teams to define project requirements and deliver AI solutions that meet business needs. Continuously optimize models for performance and accuracy through experimentation and fine-tuning. Develop and maintain robust data pipelines to ensure high-quality data for training and validation of models. Desired Candidate Profile 5+ years Python development — production-grade, not just scripting Hands-on experience with LangGraph, LangChain, or equivalent agentic AI frameworks Practical LLM prompt engineering: structured outputs, few-shot design, output schema enforcement Familiarity with Azure AI Foundry / OpenAI API or equivalent LLM API (Anthropic, Cohere) Understanding of agent design patterns: ReAct, self-reflection, tool use, HITL REST API development and consumption; JSON schema design Git version control; CI/CD pipeline awareness Technical — Advantageous Experience with Orkes Conductor, Apache Airflow, or Temporal for workflow orchestration Azure AI Document Intelligence or equivalent OCR platform experience Computer vision model integration (object detection APIs) Knowledge of RAG architectures: chunking, vector indexing, Azure AI Search Azure platform familiarity: AKS, ADLS Gen2, Azure ML, Azure Monitor Pydantic, FastAPI, TypeScript/Node.js Qualifications Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field Master's degree or equivalent research/industry experience advantageous Relevant Azure certifications (AI Engineer Associate, Developer Associate) advantageous Employment Type Full-time