Senior Software Engineer - Agentic AI Systems

Job Title

Senior Software Engineer - Agentic AI Systems

Job Description

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

• Hands‑on experience with multi‑agent orchestration and supervisor patterns.
• Familiarity with LangChain, LangGraph, LangSmith, or similar frameworks.
• Knowledge of RAG pipelines, memory management, and evaluation of agent performance.

Evaluation and Optimization

• Familiarity with agent evaluation frameworks (e.g., LangSmith evals, benchmark datasets, unit tests for agent workflows).
• Experience designing custom evaluation metrics for reasoning steps, tool use correctness, and RAG pipeline performance.
• Ability to balance automatic evaluation (synthetic benchmarks, self‑play) with human‑in‑the‑loop evaluation for complex workflows.

Cloud & Infrastructure

• Strong software engineering foundation with experience in cloud environments (AWS preferred).
• Knowledge of containerized deployment and backend integration.

Programming & Development

• Proficiency in Python; experience with backend systems and API integration.
• Familiarity with modern software engineering practices (GitHub, CI/CD pipelines, testing frameworks).

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.

Featured Benefits

• Medical insurance
• Vision insurance
• Dental insurance
• 401(k)

Requirements Added By The Job Poster

• Working in an onsite setting
• Authorized to work in the United States