AI Developer

Location: On-site, 5 days per week

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.

• 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.

• 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)

• 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 pipelines.
• Hands‑on experience building AI agents with Microsoft Copilot Studio, Semantic Kernel Agent Framework, or an equivalent agent framework (e.g., Lang Graph, Auto Gen, 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/Open Search)
  • 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.

• 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.