Full-Stack AI Engineer - 3184 (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 AI/GenAI features across applications and SDLC workflows
• Build AI solutions using platforms like Azure AI Foundry and LLM APIs
• Develop agent-based workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel
• Implement RAG-based solutions and prompt engineering strategies
• Leverage GitHub Copilot for AI-assisted development and productivity
• Build full-stack applications using Python, JavaScript/TypeScript, and/or C# (.NET)
• Develop APIs, backend services, and integrate with databases (SQL/NoSQL)
• Ensure application quality through testing, monitoring, and observability
• Collaborate with cross-functional teams (product, UX, data science)
• Troubleshoot and optimize AI models, pipelines, and integrations Required Skills & Qualifications:
• 3+ years of full-stack software development experience
• 1–2 years of experience in AI/LLM-based application development
• Hands-on experience with AI platforms (Azure OpenAI, OpenAI, or similar)
• Knowledge of RAG, embeddings, and vector databases
• Experience with AI orchestration frameworks (LangChain, Semantic Kernel, etc.)
• Strong programming skills in Python (preferred) and/or JavaScript/C#
• Experience with REST APIs and database systems (SQL & NoSQL)