Lead AI Engineer creating AI - powered solutions with Python and machine learning frameworks. Collaborate with data scientists and engineers to optimize innovative application development.
About the role
- 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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