Forward Deployed Engineer

Sierracorp; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Sierracorp is seeking a talented developer to work on AI applications in San Francisco, California. The role involves transitioning prototypes to production-grade workflows, architecting crucial connections between AI products and customer infrastructures, and optimizing system performance.

Qualified candidates will possess a Master's degree or PhD in relevant fields, along with experience in Python and machine learning. Proficiency with multi-agent systems and cloud solutions is essential for success in this dynamic environment.

Qualifications

• Master's degree or PhD in AI, Computer Science, or related field required.
• Experience in Python programming and machine learning frameworks such as Keras and PyTorch.
• Proven experience in applied AI focusing on building systems around pretrained models.

Responsibilities

• Serve as a developer for AI applications with a focus on production-grade workflows.
• Architect and code APIs connecting AI products to live infrastructure.
• Build evaluation pipelines ensuring system accuracy and safety.

Skills

Python

Machine Learning Packages

Multi-Agent Systems

Prompt Engineering

Cloud Solutions

Education

Master's degree or PhD in AI, Computer Science, or related field

Job description

Responsibilities

• 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.