Home/Jobs/AI First Development Engineer / Lead AI Engineer AI First Development Engineer / Lead AI Engineer Navaris Digital Chennai 5-10 years Today $37.3K–59.0K/yr Full-time Onsite Skills Required LLM RAG Claude Gemini ChatGPT Claude Code Gemini CLI agentic frameworks GitHub Copilot Cursor Copilot CLI Cursor CLI MLOps cloud platforms DevOps Description Navaris Digital is hiring a Lead AI Engineer for an AI-first development role focused on accelerating software delivery with AI-assisted tools and agentic workflows. The position emphasizes scalable, secure engineering and adoption of responsible AI practices.

Company: Navaris Digital Role: AI First Development Engineer Location: Chennai Experience 5-10 years experience

5+ years of hands-on software development experience

Solid experience using AI coding assistants such as GitHub Copilot or Cursor

Good knowledge of LLM platforms like ChatGPT, Gemini, and Claude

Hands-on experience with AI-powered CLI tools such as Copilot CLI, Cursor CLI, Gemini CLI, or Claude Code

Strong understanding of cloud platforms and DevOps practices

Experience building modern architectures including microservices and APIs

Hands-on experience with CI/CD pipelines and containerized environments

Excellent problem-solving, communication, and technical leadership skills Qualification Bachelor’s degree in Computer Science or equivalent experience

Master’s degree in Computer Science or equivalent experience Responsibilities Design, develop, and deploy high-quality software using AI-enhanced development tools

Leverage GitHub Copilot, Cursor, and agentic tools to improve productivity and code quality

Architect and implement agentic workflows for coding, testing, documentation, and automation

Collaborate with cross-functional teams to deliver scalable and secure solutions





Evaluate emerging AI development tools and drive adoption best practices

Automate development, testing, and CI/CD workflows using AI-driven approaches

Mentor engineers on AI-assisted development methodologies

Ensure security, governance, and responsible AI practices

Participate in architecture discussions, code reviews, and continuous improvement Nice To Have Experience with agentic frameworks, RAG pipelines, or LLM integrations

Exposure to AI platform engineering or MLOps

Experience leading engineering teams or initiatives

Contributions to open-source or internal innovation projects More Skills AI-assisted development, AI-enhanced development tools, agentic tools, agentic workflows, coding, testing, documentation, automation, microservices, APIs, CI/CD pipelines, containerized environments, security, governance, responsible AI Other Full-time

Actively Hiring Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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