AI/ML Engineer
Axelon
Summary:
- Location: Mason, OH
- Work Mode: Onsite
- Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python.
- Design and implement RAG (Retrieval-Augmented Generation) pipelines over enterprise data using embeddings and vector databases.
- Build multi-step, tool-using agents with planning, execution, and memory capabilities using frameworks such as LangChain.
- Integrate AI systems with APIs, backend services, and cloud platforms.
- Establish evaluation, reliability, and performance strategies, including accuracy, latency, and cost optimization.
- 10 years of experience in designing and building production-grade LLM-powered applications and agentic systems.
- 6 years of experience in end-to-end development of intelligent solutions from architecture to deployment leveraging Python, modern LLM frameworks, and scalable system design.
- 6 years of experience with architecting and delivering end-to-end LLM-powered applications and agentic workflows using Python.
- 6 years of experience in designing and implementing RAG pipelines over enterprise data using embeddings.
- 6 years of experience with vector databases.
- Experience in building multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain.
- Experience in integrating AI systems with APIs, backend services, and enterprise applications.
- Experience with cloud platforms.
- Ability to establish evaluation, reliability, and performance strategies focused on accuracy, latency, scalability, and cost optimization.
Vacancy posted 2 days ago
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