AI Research Engineer – Agentic AI
This role demands deep expertise in designing autonomous agent systems capable of complex reasoning and collaboration, with a focus on deploying scalable, robust solutions in real-world environments. The engineer will lead the development of advanced evaluation frameworks and self-improving mechanisms to ensure safety, efficiency, and adaptability across dynamic tasks.
Skills required
About this role
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 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.
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