Full Stack Engineer

Project Role : Full Stack Engineer

Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.

Must have skills : Large Language Models (LLMs)

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

• Key Responsibilities -
  
  

Seeking a highly skilled GitHub Copilot Engineer with expertise in Large Language Models (LLMs) to design, develop, and scale agentic AI-driven solutions across the software development and operations lifecycle. This role will drive intelligent automation, enhance developer productivity, and enable autonomous decision-making systems within the enterprise ecosystem.

• Technical Experience
  
  

Experience in Agentic Solution Development

Design and implement AI agents capable of autonomous reasoning, planning, and execution.

Build multi-agent workflows for incident management, automation, and system optimization.

Integrate agentic frameworks into enterprise platforms (DevOps, SRE, ITSM).

GitHub Copilot Enablement

Drive adoption and customization of GitHub Copilot across engineering teams.

Develop Copilot extensions, prompt strategies, and governance frameworks.

Establish best practices for AI-assisted coding and secure usage.

LLM Engineering

Design, fine-tune, and deploy solutions using models like GPT-4 / Claude.

Implement Retrieval-Augmented Generation (RAG), prompt engineering, and evaluation pipelines.

Automation & SRE Integration

Build AI-driven remediation and self-healing systems.

Integrate AI agents with monitoring and observability tools.

Build scalable backend systems using Python/Node.js.

Deploy AI services on cloud platforms like AWS, Microsoft Azure, or Google Cloud.

Governance & Responsible AI

Ensure secure, compliant, and ethical use of AI.

Define guardrails, monitoring, and audit frameworks for AI systems.

• Professional Attributes -
  
  

Good Communication skills and able to communicate with multiple team members across the globe

Good problem solving skills

Good decision-facilitation skills

• Education qualification –
  
  

Candidate must have completed the 16 years of education.

Preferably BTECH