Description

Must-Have Skills & Experience

• AI Engineering expertise with hands-on experience designing, building, and deploying AI solutions.
• Production-grade AI deployment experience, not just PoCs, MVPs, or experimentation.
• Experience building and integrating:
  • AI assistants and copilots
  • Chatbots
  • AI-driven code review and SDLC automation tools
  • Solutions that connect to backend systems and databases
• Ability to architect AI solutions and define implementation roadmaps.
• Strong understanding of LLMs and generative AI in enterprise environments.
• Experience evaluating and deploying AI solutions at scale across organizations.

Technical Background Preferred

• Experience with:
  • Python
  • AI frameworks and tooling
  • Cloud AI platforms (Azure AI Foundry, GCP AI/Agent Development Kit, or similar)
  • Enterprise software integrations
• Some experience integrating with:
  • .NET applications
  • SQL Server databases
• Understanding of:
  • API integrations
  • Enterprise application architectures
  • AI solution deployment practices

Nice-to-Have AI Experience

• RAG (Retrieval-Augmented Generation)
• Vector databases
• Embeddings and chunking strategies
• Agentic AI
• Fine-tuning models
• Chatbot architecture and conversational AI

Experience Level

• Ideally 3–5+ years of professional experience.
• Demonstrated ability to work with senior stakeholders and influence technical direction.
• Comfortable helping shape AI strategy, roadmaps, and adoption plans

Key Skills

Education

Bachelor's degree