AI Engineer

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October 6

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Scalepex

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B2B • HR Tech • Artificial Intelligence

Scalepex is a minority-owned company that specializes in talent solutions to help businesses scale and achieve their strategic goals. Leveraging a combination of creativity, strategy, and execution, Scalepex uses a unique AI platform to enhance the quality of talent, providing staffing and placement services to industries such as technology, finance, healthcare, and more. Their approach focuses on individualized support, cost management, and strategic consultation across areas like mergers and acquisitions, software development, data enablement, and more. With a strong emphasis on social responsibility, Scalepex aims to connect underserved communities with world-class opportunities, ensuring both client success and personal and professional satisfaction for their team members.

51 - 200 employees

🤝 B2B

👥 HR Tech

🤖 Artificial Intelligence

📋 Description

• Start by building foundational AI capabilities and products, with opportunities to grow into leading teams and larger initiatives as they scale • Lead the design and development of end-to-end AI applications — from prototype to production • Work closely with founders, clients, and other engineers to shape both technical and product direction • Build and deploy LLM-based systems, including RAG pipelines, fine-tuned models, and embedding search • Own delivery of real-world solutions: architect, implement, test, ship • Iterate rapidly: explore new tools, try new ideas, and solve problems creatively • Operate with autonomy in a fast-changing environment — sometimes as the only engineer on a project • Occasionally dive into adjacent areas like frontend, dev tooling, or data pipelines as needed

🎯 Requirements

• Strong experience with modern AI techniques — LLMs, prompting, fine-tuning, RAG, vector databases • Strong Python engineering background, with clean, modular coding practices • Comfortable building systems in a solo or small-team setting with limited structure • Familiarity with cloud deployment (AWS/GCP), Docker, and production ML pipelines • Able to balance product thinking and engineering discipline • Startup mentality: comfortable with ambiguity, fast iteration, and wearing many hats • Excellent communication skills — able to work directly with clients and non-technical stakeholders • Experience in Conversational AI and Voice AI systems • Knowledge of ML frameworks (PyTorch, scikit-learn, etc.) • Exposure to frontend (JS/React) or dev tooling is a plus • MLOps / CI/CD familiarity

🏖️ Benefits

• Contractor scheme • 100% Remote