Job Description

Our client, an international AI development company based in New York, is currently seeking a Gen AI Developer to lead strategic product development efforts in a fast-paced and collaborative environment. 

This role requires hands-on development experience with tools such as Langchain,  LangGraph, CrewAI, and Google Gemini Agent Builder. The ideal candidate will have a strong programming  background, a deep understanding of coordination and reasoning strategies in AI systems, and familiarity with cloud  platforms and modern CI/CD practices. 

Key Responsibilities 

Multi-Agent AI Development: 

Design and implement multi-agent AI systems using frameworks like CrewAI, LangGraph, and Langchain 

Develop agent-based workflows and orchestration logic leveraging agentic design patterns 

Prompt Engineering & Reasoning Strategies: 

Apply ReAct prompting and Chain-of-Thought reasoning to enhance AI output quality

Assist in fine-tuning LLMs and optimizing prompt-response workflows for task accuracy 

Model Integration & Cloud Deployment: 

Build and deploy models using Google Cloud and Vertex AI 

Implement CI/CD pipelines to support automated model deployment and evaluation 

Performance Evaluation & Optimization: 

Evaluate AI model performance for accuracy, efficiency, and scalability 

Write and maintain evaluation code to benchmark model behavior in distributed environments 

Optimize agent coordination and response logic for real-time use cases 

Research & Collaboration: 

Stay current with advancements in generative AI, multi-agent coordination, and distributed reasoning 

Collaborate with cross-functional teams to integrate AI services into product workflows 

Qualifications & Skills

1+ years of experience in AI application development 

Proficiency in Python or Java for AI system development

Hands-on expertise with Langchain, LangGraph, CrewAI, and Gemini Agent Builder 

Experience with ReAct prompting, Chain-of-Thought reasoning, and model fine-tuning 

Familiarity with Vertex AI, Google Cloud services, and CI/CD automation tools 

Understanding of reinforcement learning, distributed AI, and multi-agent system design 

Strong analytical and troubleshooting skills for debugging complex AI workflows 

Collaborative team player with effective communication skills 

Self-motivated, fast learner, and comfortable working in a dynamic R&D environment

Very strong English communication skills, both written and verbal (essential for global collaboration)