East New York, New York, United States
Role Description
We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth.
Design and implement advanced AI/GenAI features across applications and SDLC workflows
Build and deploy AI solutions using Azure AI Foundry and LLM platforms
Develop multi-agent workflows using frameworks like LangChain, LangGraph, Semantic Kernel, or LlamaIndex
Implement RAG architectures, prompt engineering, and vector-based retrieval systems
Drive AI-assisted development using GitHub Copilot and establish best practices
Build scalable full-stack applications using Python, TypeScript/JavaScript, and/or C#
Develop APIs, backend services, and work with relational and NoSQL databases
Implement observability, monitoring, and performance optimization for AI systems
Lead troubleshooting, design decisions, and system integrations
Mentor junior engineers and contribute to AI governance and best practices
Qualifications
5+ years of full-stack software development experience
2–3 years of hands-on experience with AI/LLM-based applications or agent systems
Strong experience with AI platforms (Azure OpenAI, OpenAI, Anthropic, AWS Bedrock)
Expertise in RAG, embeddings, vector databases, and prompt engineering
Experience with AI orchestration frameworks (LangChain, Semantic Kernel, etc.)
Strong programming skills in Python (mandatory) and/or TypeScript/C#
Experience with REST APIs, microservices, and database systems (SQL & NoSQL)
Hands-on experience with GitHub Copilot or similar AI coding tools
Strong analytical, problem-solving, and communication skills
Experience working in Agile and distributed team environments
Benefits
Flexible working hours to create a work-life balance
Opportunity to work on advanced tools and technologies
Global exposure to collaborate with the team and connect with the client portfolio
Highly encouraged for any innovative ideas & thoughts, with support in executing the same
Periodical and on-spot rewards and recognitions based on performance
Provides a better platform for enhancing skills via various L&D programs
Enabling and empowering atmosphere to work along