AI Developer

AppLab Systems, Inc; Weehawken (NJ); On-site; USD 90,000 - 130,000; Full time

Job summary

AppLab Systems, Inc. in Weehawken, NJ seeks an Agentic AI Developer to design and implement multi-agent systems and scalable AI workflows. You will connect agents to enterprise APIs and data platforms, and benchmark their performance to improve efficiency and reliability.

You'll work with Python, large language model APIs such as Azure OpenAI and Anthropic, and frameworks like LangChain. You will optimize agent collaboration, monitor behavior, and ensure ethical AI practices at scale.

Qualifications

• Hands-on experience with large language model APIs (Azure OpenAI, Anthropic, etc.).
• Proficiency in Python or a similar language used for AI development.
• Experience with LLM-based frameworks such as LangChain or LangGraph.
• Knowledge of vector databases and semantic search techniques.
• Familiarity with containerization and related tooling.
• Understanding of compliance, risk management, and ethical AI practices.

Responsibilities

• Develop AI agents and multi-step workflows for cross-agent collaboration.
• Connect agents to enterprise APIs and data platforms.
• Use benchmarking tools and evaluation frameworks to measure efficiency and reliability.
• Monitor agent behavior and optimize for scalability and decision making.
• Ensure ethical AI practices and risk considerations are integrated into development.

Skills

LLM APIs

Python

LangChain/LangGraph

Vector databases

Containerization

AI ethics & risk

Job description

• Implement multi-step workflows and enable collaboration between multiple agents
• Connect Agents to enterprise APIs, data platforms
• Use benchmarking tool and evaluation framework to measure agent efficiency and reliability.
• Monitor agent behavior, optimize for scalability and enhance decision making capability.

Position : Agentic AI Developer

Location : Weehawken, NJ

C2C

Key responsibilities

• Develop AI agents
• Implement multi-step workflows and enable collaboration between multiple agents
• Connect Agents to enterprise APIs, data platforms
• Use benchmarking tool and evaluation framework to measure agent efficiency and reliability.
• Monitor agent behavior, optimize for scalability and enhance decision making capability.

Required Skill

• Hands-on experience working with Large Language Model APIs like Azure OpenAI, Anthropic etc..
• Proficiency in Python or similar language
• Experience with LLM-based framework (LangChain, LangGraph)
• Knowledge of Vector databases and semantic search
• Familiarity with containerization and required skill
• Understanding of compliance, risk management, and ethical AI Practices