Full-Stack AI Engineer

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

📋 Description

• Design and execute AI/GenAI functionalities across various applications and SDLC workflows.

• Develop AI solutions using platforms such as Azure AI Foundry and LLM APIs.

• Create agent-based workflows utilizing frameworks like LangChain, LangGraph, or Semantic Kernel.

• Apply RAG-based solutions and strategies for prompt engineering.

• Utilize GitHub Copilot to enhance AI-assisted development and productivity.

• Construct full-stack applications employing Python, JavaScript/TypeScript, and/or C# (.NET).

• Develop APIs and backend services, ensuring integration with databases (SQL/NoSQL).

• Maintain application quality through testing, monitoring, and observability.

• Collaborate with cross-functional teams, including product, UX, and data science.

• Troubleshoot and optimize AI models, pipelines, and integrations.

⛳️ Requirements

• Minimum of 3 years in full-stack software development.

• 1–2 years of experience in developing AI/LLM-based applications.

• Practical experience with AI platforms such as Azure OpenAI, OpenAI, or comparable systems.

• Understanding of RAG, embeddings, and vector databases.

• Experience with AI orchestration frameworks, including LangChain and Semantic Kernel.

• Proficient programming skills in Python (preferred) and/or JavaScript/C#.

• Familiarity with REST APIs and database technologies (SQL & NoSQL).

• Knowledge of GitHub Copilot or other AI-assisted development tools.

• Strong problem-solving abilities and effective communication skills.

• Experience in Agile work environments.

🏝️ Benefits

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

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

• Global exposure that allows collaboration with the team and connection with clients to foster professional relationships.

• Strong encouragement for innovative ideas, with support for their execution.

• Periodic and immediate rewards and recognition based on performance.

• Access to various learning and development programs to enhance skills.

• A supportive and empowering environment to work in.