AI Research Engineer - Agentic AI
External$165K–$180K/yrFull-timeOn-site1mo ago30+ days old, may be filled
DocumentationLLMsPythonRAGRegression AnalysisReinforcement Learning
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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.
Requirements
- 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
- 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
- Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome .
- Equal Opportunity Employer, including disability / veterans.
- #LI-JM1
Benefits
Health insurance401(k)Performance bonusParental leave
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Company Intel
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