Gen AI Developer

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)