About the Role
Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows — including multi-agent systems and MCP servers — that drive measurable ROI.
Architect and code the connective tissue between AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters, as part of a collaborative expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in the AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
Co-build with customer engineering teams to instill development best practices, ensuring long-term project success and high end-user adoption.
Requirements
Master's degree or PhD in AI, Computer Science, Science, Technology, Engineering, Mathematics, or a related technical field.
Experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, HF Transformers).
Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions).
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google's ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.
Experience architecting, deploying, or managing solutions on a cloud platform (e.g., Google Cloud Platform).
Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the Company
scaiteam is the staffing division of SierraCorp AI, a specialized engineering recruitment firm dedicated to closing the talent gap for high-growth startups by placing elite AI and Machine Learning engineers. Unlike generalist agencies, our focus is laser-sharp — exclusively covering roles at the intersection of AI and infrastructure, including ML Engineers, Data Scientists, and MLOps Engineers.
What sets us apart is our technical depth. Our recruiters are former engineers who thoroughly pre-vet every candidate, assessing both technical knowledge and hands-on coding ability before submission. We combine this human expertise with proprietary AI-powered sourcing tools to deliver speed and precision, providing a curated slate of qualified candidates within an average of 5–7 business days.
Whether you need full-time permanent hires or flexible part-time contractors, SCAITeam is built for long-term partnership and mutual success.