The OpportunityWe are seeking a powerhouse Generative AI Solutions Engineer who thrives at the intersection of cutting-edge R&D and real-world application. This isnt a "sit back and advise" rolewe need a builder. You will be responsible for driving high-level stakeholder discussions one hour and writing production-grade Python code to fine-tune an LLM the next.The ideal candidate has the "Special Ops" mindset for AI: able to take a vague business problem, build a high-fidelity prototype (PoC/MVP), and demonstrate its value through rigorous evaluation and deployment.Key ResponsibilitiesPrototyping & MVPs: Rapidly develop, test, and iterate on AI-powered prototypes, PoCs, and Minimum Viable Products (MVPs) using modern GenAI frameworks.Stakeholder Engagement: Confidently lead technical discussions with business leaders, translating complex AI concepts into strategic opportunities.Agentic Orchestration: Design and implement sophisticated agent-based systems and multi-agent workflows to solve complex, multi-step business processes.Model Lifecycle Management: Take full ownership of the LLM lifecyclefrom prompt engineering and RAG implementation to fine-tuning, evaluation (LLM-as-a-judge), and deployment.Cross-Functional Innovation: Collaborate with data and product teams to integrate multi-modal data (text, image, audio) into intelligent agent-based tools.Technical Must-HavesAI/ML Foundations: A rock-solid understanding of deep learning, machine learning principles, and the underlying architecture of Transformers.The GenAI Stack: Expert-level proficiency in Python and deep hands-on experience with:Orchestration: LangChain, LangGraph, CrewAI, or AutoGen.Platforms: Hugging Face, OpenAI API, and Anthropic.LLM Expertise: Proven track record building and deploying both open-source (Llama, Mistral) and commercial (GPT, Claude, Gemini) models.Agentic AI: Demonstrated experience building autonomous agents that can use tools, browse the web, or interact with APIs to complete goals.Multi-Modal Expertise: Experience handling multi-modal data streams and building intelligent interfaces that go beyond simple text-in/text-out.The MindsetHands-on Builder: You prefer a code editor to a slide deck. You are passionate about "solving for X" and aren't afraid to experiment with unproven technologies.Self-Directed: You don't need a roadmap; you create one. You manage your own priorities and push projects across the finish line with minimal supervision.Collaborative & Bold: You have the "soft skills" to build consensus and the "hard skills" to defend your architectural choices.RequirementsLocation: Must be based in the United States. Must the USC/GC holder or on GC-EAD.Experience: Significant experience in software engineering with a recent, heavy focus on Generative AI implementations.
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