AI Engineer - Agentic Systems
📍 New York, NY (On‑site)
đź•’ Full-Time
🌍 U.S. Citizenship Required
We are seeking an experienced Principal AI Engineer to join our AI/ML team as we scale agentic capabilities. Our bespoke platform and suite of AI-enabled applications accelerate the decision-making process in real-time, all in one place.
What You’ll Do
- Design and build multi-agent systems, memory, routing, and planning.
- Develop Agent Skills and tools as modular, composable services connected to backend systems, models, and data processing pipelines.
- Contribute to automated evaluation and observability systems for agents, tools, workflows, and prompts across the entire product lifecycle.
- Collaborate cross-functionally with Product and Engineering to deploy agentic systems.
Required Skills & Experience
- Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Data Science, Neuroscience, statistics or related field.
- 3+ years building and deploying Agentic, ML or LLM-powered systems in production environments.
- Hands-on experience designing autonomous multi-agent workflows that include state/action models for AI-driven interaction (agent-controlled UI, tool invocation, deterministic flows).
- Experience with agent frameworks such as Claude Agent SDK or OpenAI Agent SDK.
- Solid Python engineering skills.
- Hands-on with MCP, LLM evaluation frameworks, deep learning, transformer architecture, agent orchestration, LangGraph.
- A passion for coding agents, exploring new technologies and Agentic Engineering.
Strong Candidates Have
- Proven experience designing and deploying complex agentic systems using LLMs.
- Hands-on work with multi-agent orchestration, routing, and tool orchestration.
- Demonstrated portfolio or project showing LLMs interacting with frontend interfaces agentically.
- Passion for building, experimenting with, and optimizing multi-step agentic workflows.
- Proficiency with backend API languages such as Java/Spring Boot, Javascript/ReactJS
Desired Qualifications
- Experience in fast-paced startup environments.
- Comfort with Claude Code SDK,and modern GenAI coding best practices.
- Frameworks LangChain, AutoGen, Semantic Kernal.
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