Artificial Intelligence Engineer

KeyResponsibilities:

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.