AI Developer

Location: On-site, 5 days per week

About The Role

We're hiring a hands-on AI Developer with strong expertise in Python or .NET, cloud platforms, and modern data tooling to join our multidisciplinary AI team. You'll work alongside AI engineers/developers and business analysts to build, ship, and iterate on real production AI solutions.

This role is ideal for someone who thrives in a fast-paced environment where they own work end-to-end: prototyping, building, deploying, and refining. If you've come up through a smaller company or startup where you wore multiple hats and shipped real systems, you'll feel right at home.

What You'll Do

• Design, develop, deploy, and maintain AI solutions using Python and/or .NET
• Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework
• Build and optimize cloud-native applications on Azure
• Work with large-scale data in Databricks
• Partner with AI engineers/developers and business analysts to turn ideas and experiments into production systems
• Apply critical thinking to evaluate model performance, troubleshoot complex issues, and improve system efficiency
• Communicate clearly with both technical and non-technical stakeholders
• Prototype quickly, test rigorously, and iterate often

Tech You'll Touch

Core: Python

• .NET
• Azure
• Databricks (data platform) AI stack: Azure OpenAI
• Azure AI Foundry
• Azure AI Search
• Microsoft Copilot Studio
• Semantic Kernel
• Vector Databases
• RAG (Retrieval-Augmented Generation)
• Semantic Search
• Agentic AI
• MCP (Model Context Protocol)

Required Qualifications

• Professional experience building production systems with Python or .NET (proficiency in both is a strong plus)
• Strong working knowledge of cloud services and architecture patterns — Azure preferred (or equivalent experience in AWS or GCP, with willingness to ramp on Azure)
• Hands-on experience building RAG (Retrieval-Augmented Generation) pipelines
• Hands-on experience building AI agents with Microsoft Copilot Studio, Semantic Kernel Agent Framework, or an equivalent agent framework (e.g., LangGraph, AutoGen, CrewAI)
• Hands-on experience with at least two of the following:
• Azure AI Search (or equivalent vector/semantic search platform — Pinecone, Weaviate, pgvector, Elasticsearch with vector, AWS Kendra/OpenSearch)
• Vector databases
• Semantic search
• Agentic AI systems (multi-step reasoning, tool use, orchestration)
• Comfort working with SQL and large-scale data platforms (Databricks experience is a plus, but the syntax is approachable if you know SQL)
• Excellent communication and critical-thinking skills
• Background in a smaller company or startup environment with significant ownership of technical work

Nice to Have

• Proficiency in both Python and .NET
• Direct hands-on experience with Microsoft Copilot Studio and/or Semantic Kernel specifically
• Hands-on experience with Databricks specifically
• Practical ML experience (model training, evaluation, deployment)
• Familiarity with Azure AI Foundry (or equivalent — AWS Bedrock, Google Vertex AI) and Azure OpenAI (or equivalent managed LLM service) in production
• Experience with MCP (Model Context Protocol) or similar agent-tooling standards

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