Senior Full-Stack AI Engineer- 3185 (Remote)

CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises.

CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks.

These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap.

As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers.

We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth.

You can learn more about us at: http://www.cesltd.com/ Key Responsibilities:

• 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 Required Skills & 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.)