Description

You will design, build, and deploy production-grade AI solutions, moving beyond PoCs to integrate AI assistants, copilots, and automation tools into enterprise backend systems.

This role is on-site.

Responsibilities

• Architect and implement AI-driven code review, SDLC automation, and chatbot solutions.
• Deploy scalable AI models and generative AI applications in enterprise environments.
• Integrate AI services with .NET applications, SQL Server databases, and existing backend APIs.
• Define technical roadmaps and influence AI strategy with senior stakeholders.
• Evaluate and optimize AI solutions for production reliability and performance.

Required Skills

• 5+ years of professional software engineering experience.
• Strong proficiency in Python and AI framework tooling.
• Hands-on experience deploying LLMs and generative AI in production.
• Experience with cloud AI platforms (Azure AI Foundry, GCP AI/Agent Development Kit).
• Ability to architect solutions connecting to SQL Server and .NET ecosystems.
• Understanding of API integrations and enterprise application architectures.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with RAG, vector databases, embeddings, and chunking strategies.
• Background in agentic AI, model fine-tuning, or conversational AI architecture.

Key Skills

Education

Bachelor's degree