AI Engineer

val's services; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

val's services seeks a skilled engineer to develop agentic reasoning systems, integrate and improve the agentic harness and tools, and evaluate performance to ensure reliability across complex engineering domains.

The role involves collaborating with research teams to transition custom models into the product, optimize production traces, and address failure modes in a fast-moving AI-enabled environment.

Qualifications

• Experience transitioning AI prototypes into products.
• Deep learning with solid ML and LLM understanding.
• Proficiency in Python and agentic frameworks like LangChain.
• Experience in physical systems such as aerospace, mechanical, or robotics.

Responsibilities

• Develop and refine agentic reasoning systems.
• Maintain and enhance the agentic harness and tools.
• Conduct testing and evaluations.
• Investigate and resolve production issues.
• Collaborate with research to improve models and capabilities.

Skills

AI prototyping

Deep learning

Machine learning

Large language models

Python

LangChain

Agentic frameworks

Aerospace domain

Robotics

Tools

LangChain

Job description

Role Overview

This position involves developing agentic engineering reasoning systems to enhance AI capabilities in complex engineering domains. Responsibilities include building, improving, and maintaining the agentic harness and tool integrations, conducting evaluations and tests to ensure quality, analyzing production traces for failure modes, and collaborating with research teams to develop and transition custom models into the product.

Role Overview

This position involves developing agentic engineering reasoning systems to enhance AI capabilities in complex engineering domains. Responsibilities include building, improving, and maintaining the agentic harness and tool integrations, conducting evaluations and tests to ensure quality, analyzing production traces for failure modes, and collaborating with research teams to develop and transition custom models into the product.

Qualifications & Skills

Candidates should have experience transitioning AI prototypes into products, deep learning expertise with a solid understanding of machine learning and large language models, proficiency in Python and agentic frameworks like LangChain, and experience in physical systems such as aerospace, mechanical, or robotics.

Key Duties

• Develop and refine agentic reasoning systems
• Maintain and enhance the agentic harness and tools
• Conduct testing and evaluations
• Investigate and resolve production issues
• Collaborate with research to improve models and capabilities