An enterprise organization is looking for an experienced AI Engineer to develop and implement intelligent applications and automation solutions powered by Generative AI.
This position is responsible for building secure, production-ready AI agents, integrating AI capabilities into existing enterprise applications, and creating retrieval-based solutions that help business teams work more effectively.
The role involves significant hands-on Python engineering and collaboration with technical and nontechnical stakeholders.
RESPONSIBILITIES- Design and deploy enterprise Generative AI applications.
- Develop autonomous and human-supervised AI agents.
- Build custom MCP servers, tools, and integrations.
- Create RAG applications using enterprise information sources.
- Develop Python services and APIs supporting AI-powered workflows.
- Connect AI solutions with enterprise applications, databases, and SaaS platforms.
- Implement security controls, model evaluation, governance, and data privacy safeguards.
- Optimize production AI applications for reliability, scalability, and performance.
Role Requirements- 5 8 years of relevant engineering experience.
- At least 2 years of enterprise GenAI or LLM development experience.
- Strong Python engineering skills.
- Practical AI agent and workflow implementation experience.
- Experience with custom tools, functions, and enterprise integrations.
- Understanding of APIs, databases, and SaaS connectivity.
- Knowledge of prompt engineering, AI application architecture, and model evaluation.
- Familiarity with RAG, vector databases, semantic search, and document retrieval.
- Understanding of AI security, governance, and privacy.
- Strong communication and problem-solving abilities.
- Bachelor's degree in a relevant technical field or equivalent experience.
PREFERRED EXPERIENCE- Custom MCP server development.
- Claude Code, Anthropic APIs, or related agentic frameworks.
- Azure AI Foundry, Azure OpenAI Service, or Azure AI Search.
- Legal technology or professional-services experience.