Artificial Intelligence Engineer

Key Responsibilities : • Design and develop enterprise-scale agentic AI solutions using LangGraph and related frameworks • Build and optimize RAG systems (chunking, retrieval strategies, evaluation) with an emphasis on accuracy, latency, and reliability. • Architect multi-step reasoning workflows that integrate with existing enterprise systems and APIs • Collaborate with cross-functional teams to translate business requirements into scalable AI solutions • Ensure AI implementations meet enterprise security, compliance, and governance standards • Optimize system performance and cost efficiency across multiple LLM providers • Mentor junior developers and contribute to AI development best practices • Partner with DevOps teams to ensure reliable production deployments. Required Qualifications: • Bachelor's degree in Computer Science, Engineering, or related technical field • 3-5 years of software development experience with demonstrated expertise in AI/ML technologies • Strong proficiency in Python with experience in asynchronous programming patterns • Proven track record of implementing production LLM integrations (OpenAI, Anthropic, Azure OpenAI, etc.) • Hands-on experience with RAG system development including vector databases, embedding models, and retrieval optimization • Knowledge of enterprise software architecture patterns and API integration best practices • Understanding of AI governance, security, and ethical AI principles • Strong understanding of prompt engineering techniques and LLM behavior optimization Preferred Qualifications: • Experience with agent frameworks (LangChain/LangGraph preferred) and multi-step reasoning implementations.

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