Senior Full-Stack AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and execute sophisticated AI/GenAI functionalities across various applications and software development lifecycle (SDLC) workflows.

• Create and implement AI solutions utilizing Azure AI Foundry and large language model (LLM) platforms.

• Develop multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.

• Implement retrieval-augmented generation (RAG) architectures, prompt engineering, and vector-based retrieval systems.

• Facilitate AI-assisted development with GitHub Copilot and establish optimal practices.

• Construct scalable full-stack applications using Python, TypeScript/JavaScript, and/or C#.

• Develop APIs and backend services while working with both relational and NoSQL databases.

• Implement observability, monitoring, and performance enhancements for AI systems.

• Lead troubleshooting efforts, design decisions, and system integrations.

• Mentor junior engineers and contribute to AI governance and best practices.

⛳️ Requirements

• Over 5 years of full-stack software development experience.

• 2 to 3 years of practical experience with AI/LLM-based applications or agent systems.

• Extensive experience with AI platforms such as Azure OpenAI, OpenAI, Anthropic, and AWS Bedrock.

• Proficient in RAG, embeddings, vector databases, and prompt engineering.

• Experience with AI orchestration frameworks like LangChain and Semantic Kernel.

• Strong programming capabilities in Python (essential) and/or TypeScript/C#.

• Experience with REST APIs, microservices, and database systems (both SQL and NoSQL).

• Practical experience with GitHub Copilot or comparable AI coding tools.

• Strong analytical, problem-solving, and communication abilities.

• Experience working in Agile and distributed team settings.

🏝️ Benefits

• Flexible working hours to foster a healthy work-life balance.

• Opportunity to engage with cutting-edge tools and technologies.

• Global exposure to collaborate with the team, connect with the client portfolio, and build professional relationships.

• Encouragement for innovative ideas and support in executing them.

• Regular and on-the-spot rewards and recognition for performance.

• Enhanced skill development through various learning and development programs.

• An empowering environment that promotes collaboration.