Agentic AI Systems Engineer

Bosch USA; Sunnyvale (CA); On-site; USD 165,000 - 180,000; Full time

Benefits offered by this job

Premium health coverage

401(k) with generous matching

Financial planning resources

Ample paid time off

Parental leave

Life and disability protection

Job summary

Bosch USA in Sunnyvale, CA, seeks an experienced AI researcher to design, build, and evaluate agentic systems for long-horizon tasks. You will work on memory architectures, edge deployment, and robust evaluation frameworks with a focus on safety and measurable KPIs.

Join a team advancing foundation models and AI solutions across Bosch products, collaborating with researchers and engineers to push the boundaries of trustworthy AI in real-world applications.

Qualifications

• Bachelor's or master's degree in computer science or engineering.
• Strong software engineering skills in Python.
• Hands-on experience with LLMs and agentic systems, such as tool-using agents, planner-executor patterns, multistep reasoning pipelines, RAG systems.
• Solid understanding of ML fundamentals and practical model usage, including prompting, evaluation, and error analysis.
• Ability to design experiments and interpret results, including ablations, statistical thinking, clear success criteria and measurable KPIs.
• Strong communication and documentation skills including clear write-ups, reproducible experiments, and crisp technical presentations.

Responsibilities

• Design, build, and evaluate agentic AI systems that can plan, reason, act, and collaborate across tools and environments, including single- and multi-agent setups for complex, long-horizon tasks.
• Develop robust agent harnesses and evaluation frameworks covering end-to-end testing, regression analysis, trace logging, replayability, and metrics for success, cost, latency, robustness, and safety.
• Implement self-improving agent loops using reflection, critique, self-debugging, and iterative optimization strategies driven by agent experience, execution traces, and automated feedback.
• Architect and optimize agent memory systems, including short-term and long-term memory, retrieval-augmented generation, summarization, compression, forgetting policies, and privacy-aware retention.
• Enable reliable deployment of agents on constrained and edge environments, focusing on model/runtime optimization, partial or offline execution, secure tool-use, and seamless edge-cloud coordination.

Skills

Python

LLMs

Agentic systems

ML fundamentals

Experiment design

Communication

Education

Bachelor's or Master's in CS or Engineering

Tools

RAG systems

Agent frameworks

Job description

Bosch USA in Sunnyvale, CA, seeks an experienced AI researcher to design, build, and evaluate agentic systems for long-horizon tasks. You will work on memory architectures, edge deployment, and robust evaluation frameworks with a focus on safety and measurable KPIs.

Join a team advancing foundation models and AI solutions across Bosch products, collaborating with researchers and engineers to push the boundaries of trustworthy AI in real-world applications.