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)

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