• 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