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About Scalepex
Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.
At Scalepex , we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.
Role Overview
What You’ll Do
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
Must-Have Skills
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
Bonus Skills
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
