AI Research Engineer Agentic AI

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

Benefits offered by this job

Premium health coverage

401(k) with generous matching

Ample paid time off

Parental leave

Comprehensive life and disability protection

Job summary

Bosch Group is looking for a candidate skilled in designing and evaluating agentic AI systems. This role involves developing AI frameworks, implementing self-improving loops, and optimizing agent memory. Basic qualifications include a degree in computer science/engineering and strong software engineering skills, with preferred experience in industrial research. The competitive salary ranges from $165,000 to $180,000, and a robust benefits package is offered to support employee welfare.

Qualifications

• 3+ years experience in industrial research preferred.
• Hands-on experience in production of AI systems is a plus.

Responsibilities

• Design, build, and evaluate agentic AI systems.
• Develop robust agent harnesses and evaluation frameworks.
• Implement self-improving agent loops.
• Architect and optimize agent memory systems.
• Enable reliable deployment of agents on constrained environments.

Skills

Strong software engineering skills in Python

Hands-on experience with LLMs and agentic systems

Ability to design experiments and interpret results

Strong communication and documentation skills

Education

Bachelor or master's degree in computer science or engineering

Job description

Job Description

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.

Qualifications

Basic Qualifications

• Bachelor 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

Preferred Qualifications

• 3+ years experiences in industrial research.
• Experience with one or more of the following topics:
  • Agent frameworks
  • Structured generation
  • Agent memory management
  • Self-improving agents
  • LLM fine-tuning & reinforcement learning
  • Model optimization for edge
  • Harness engineering
• Hands-on experience on production of AI systems

Additional Information

We offer a competitive base salary for this position with a range in US-California of –$165,000 - $180,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.

Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.

Equal Opportunity Employer, including disability / veterans.