Sr. Software Engineer - Agentic AI Systems
About The Role
We are seeking an AI Engineer to design, implement, and deploy advanced agentic AI systems. In this role, you’ll build production-ready AI agents that can reason across multiple steps, leverage a mixture of proprietary models, integrate with semiconductor design tools, and operate autonomously over a long period of time.
You’ll work with state of the art frameworks to create pipelines that combine LLM-based reasoning, knowledge grounding, and multi-agent orchestration. This is a high-impact role where you’ll partner with research and engineering teams to translate cutting-edge chip design workflows into reliable, scalable agentic solutions for real-world use cases.
Key Responsibilities
- Build Agentic Systems – Implement multi-step reasoning agents with advanced memory, Retrieval-Augmented Generation (RAG), and integrations to tools, databases, and APIs.
- Evaluate and Optimize Agent Performance – Define and implement evaluation pipelines for agentic systems, including success/failure classification, grounding accuracy, reasoning robustness, tool-use reliability, and long-horizon task completion. Use metrics and benchmarks to continuously improve performance in production environments.
- Orchestrate & Optimize – Design supervisor/sub-agent patterns, enable coordination across agents, and apply best practices for robustness, performance, and scalability.
- Deploy & Evolve – Deliver production-grade agentic AI workflows on cloud platforms (AWS preferred), monitor and evaluate agent performance, and continuously fine-tune for quality and efficiency.
- Collaborate & Translate – Work with product managers, researchers, and engineers to transform complex chip design workflows into agent-driven, end-to-end solutions.
Desired Skillset
- Agentic AI Systems
- Evaluation and Optimization
- Cloud & Infrastructure
- Programming & Development
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering or a related field.
- 5-10 years of experience in software development in cloud environment
- 2+ years of experience with hands-on experience building and deploying production-grade agentic AI systems with real-world applications.
- Solid working knowledge of Retrieval-Augmented Generation (RAG), agent performance evaluation, and hands-on experience with LangGraph and LangSmith platforms.
- Proficiency in Python and familiarity with backend cloud services (preferably AWS).
Preferred Qualifications
- Contributions to open-source AI projects or frameworks.
- Experience with multi-agent orchestration patterns at scale.
- Knowledge of reinforcement learning, planning algorithms, or autonomous reasoning.
- Track record of deploying agentic AI systems in production at scale
What We Offer
- The chance to work on state-of-the-art AI systems that push the boundaries of autonomy and reasoning.
- A collaborative environment where engineering meets research.
- Competitive compensation and equity in a fast-growing AI startup.
- A culture that values ownership, curiosity, and technical excellence.**