Senior Full-Stack AI Engineer

CES Family of Companies

Full-Stack AI Engineer designing and implementing AI solutions. Working with advanced technologies and platforms for leading global enterprises.

Posted 6/16/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureJavaScriptMicroservicesNoSQLPythonSDLCSQLTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

Flexible working hours to create a work-life balance.
Opportunity to work on advanced tools and technologies.
Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships.
Highly encouraged for any innovative ideas & thoughts and we support in executing the same.
Periodical and on-spot rewards and recognitions on your performance.
Provides a better platform for enhancing skills via many different L&D programs.
Enabling and empowering atmosphere to work along.

ATS Keywords

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Hard Skills & Tools

AI featuresAI solutionsmulti-agent workflowsRAG architecturesprompt engineeringvector-based retrieval systemsfull-stack applicationsAPIsrelational databasesNoSQL databases

Soft Skills

mentoringproblem-solvingcommunicationleadership