Role Overview:
As a member of the Agents Team, you will be at the heart of our mission to decode enterprise knowledge. You will architect and build the sophisticated AI agents that form the core of our platform, going far beyond simple LLM integrations. You will design multi-agent systems that navigate a complex web of information—from source code and system logs to chat transcripts and internal documentation. Your work will pioneer new ways to get many specialized agents to operate as one, ultimately delivering a system that helps our customers unlock their own collective genius.
Key Responsibilities:
Design and implement methods to analyze agent reasoning
Develop and refine prompting strategies to guide agent behavior
Implement workflows that present relevant information to agents at strategic decision points
Integrate and implement tools with ergonomic agentic interfaces
Develop evaluation frameworks to assess and compare agent-proposed solutions
Collaborate with the data team to source evaluation data
Collaborate with the product team to translate agent outputs into real-world actions that address customer needs
Collaborate with the algorithms team to implement environments that support model training requirements
Qualifications:
Extensive experience building large-scale, high-performance solutions in the AI or software engineering domain.
Experience using, designing and prompting Large language models
+5 Years experience with Python and/or Golang
Experience bringing agentic systems to production.
Strong systems engineering track record.
Preferred Qualifications:
Experience working in startups, scaleups or dedicated AI Teams.
Familiarity with enterprise customer requirements.
Knowledge of containerization, microservices architecture, and distributed systems.
What We Offer:
The opportunity to conduct research at the intersection of DL, RL, and LLMs, driving advancements in agentic AI systems.
Collaboration with a team of world-class researchers and engineers who have worked on landmark projects like ChatGPT, AlphaGo, and Gemini.
Competitive compensation and benefits, with support for publishing and attending top-tier conferences.
How to Apply: If our mission and approach inspire you, and you enjoy and are capable of building state-of-the-art systems at the frontier, we want to hear from you. Consider applying to join the Agents team at Reflection.
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What We Do
Reflection was founded by former DeepMind and OpenAI researchers to build superintelligent coding agents. We previously built the most powerful LLM (ChatGPT, Gemini) and agent (AlphaGo, AlphaZero) systems in the world.
Reflection’s mission is to build superhuman coding agents. Today’s language models are powerful, but they fall short when it comes to tasks that require acting over many steps. The reason is simple. These models were never trained for autonomy. Our goal is to create the most capable and reliable coding agents in the world. Our product is a Coding Agent API that helps automate rote engineering work.








