AI Engineer focusing on Agentic Generative AI platforms, integrating Large Language Models into enterprise applications. Building autonomous agents and enhancing AI workflows at McLaren Strategic Solutions.
Responsibilities
Design, build, and deploy autonomous or semi-autonomous agents using industry-leading platforms such as Agno, CrewAI, LangGraph, or AutoGen.
Create and manage sophisticated agent workflows that integrate LLMs, persistent memory, external tools, and multi-step decision logic.
Develop bespoke Python-based components and tools to extend the capabilities of existing agent frameworks.
Build and maintain scalable backend services, ensuring AI components are seamlessly integrated into enterprise-level architectures.
Partner with product and data teams to define functional requirements and validate the efficacy of AI-driven features.
Continuously monitor and improve the performance, reliability, and cost-efficiency of GenAI workloads and API usage.
Stay at the forefront of the rapidly evolving GenAI and agentic AI landscape to implement best practices.
Requirements
2+ years of Python experience, specifically focused on AI/ML workflows, automation, and system integration.
1+ years Agentic AI Expertise with hands-on experience with at least one major platform (e.g., LangGraph, CrewAI, Agno, or AutoGen).
Deep understanding of the LLM ecosystem (OpenAI, Claude, Mistral), including advanced prompt engineering and tool augmentation (RAG/function calling).
Familiarity with Docker, Git, and CI/CD pipelines.
Benefits
Comprehensive health care coverage
Disability benefits
401(k) match
Life insurance
Paid personal days
Paid holidays
Paid time off
Additional details about total compensation and benefits during the hiring process.
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