Role: AI Engineer

- Roles & responsibilities
- Design, develop, and deploy GenAI and Agentic AI solutions for enterprise-scale applications.
- Build multi agent workflows using frameworks such as LangGraph, LangChain, CrewAI, or similar.
- Develop and optimizebased systems leveraging Vector Databases and enterprise knowledge sources.
- Create scalable APIs and microservices using Python and FastAPI.
- Implement LLM orchestration, prompt engineering, evaluation frameworks, and observability solutions.
- Integrate AI solutions with enterprise applications, workflows, and data platforms.
- Work closely with business stakeholders to translate use cases into production-ready AI systems.
- Ensure adherence to enterprise SDLC, security, governance, and deployment standards.




- Strong programming skills in Python.
- Handson experience with GenAI, LLMs, and Agentic AI frameworks.
- Experience with RAG, Vector Databases, embedding, and semantic search.
- Knowledge of LangChain, LangGraph, CrewAI, AutoGen, MCP, or similar frameworks.
- Experience building REST APIs using FastAPI or Flask.
- Robust understanding of system design, software engineering, and cloud-native architectures.
- Familiarity with evaluation, monitoring, and observability of AI systems.
- Excellent problem-solving and communication skills.

📌 Artificial Intelligence Engineer (Gurugram)
🏢 Vitric Business Solutions
📍 Gurugram