remote
Artificial Intelligence Engineer
AI Engineer
AI Engineer to design and deploy LLM-powered systems, RAG pipelines, and Agentic AI solutions for enterprise applications.
About the role
Key Responsibilities
- Design, build, and deploy scalable LLM-powered applications for customer support, business use cases, and internal productivity
- Develop AI agents and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows
- Implement Retrieval-Augmented Generation (RAG) architectures to leverage proprietary data and internal knowledge bases
- Build MCP servers and multi-modal Agentic platforms to support internal teams and customer-facing solutions
- Integrate AI/ML solutions with enterprise systems, APIs, and data platforms
- Design prompt strategies, evaluation frameworks, and guardrails for accuracy, security, and regulatory compliance
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field
- 2+ years of software engineering experience, including work with machine learning (ML) or AI systems
- Hands-on experience building LLM-powered applications in production environments
- Strong programming skills in Python and familiarity with AI/ML packages such as NumPy, Pandas, SciPy, and Scikit-learn
- Experience with LLM ecosystems including OpenAI, Anthropic, Google, Hugging Face, and orchestration frameworks like LangChain or LlamaIndex
Skills
pythonllmragmcpprompt engineeringlangchain