Member of Technical Staff (AI-Dev)

[ Job Code: MTS-AI ]

Manipal Dot Net Pvt Ltd has openings for self-motivated, team-oriented, hard-working Member of Technical Staff (AI-Dev) to build next-generation software products. We are seeking AI-native builders—curious creators capable of translating product requirements into production-grade software through effective orchestration of AI developer tools, engineering judgment, and demonstrated execution.


Job Responsibilities:


  • 0-to-1 Software Creation: Translate product ideas into working, production-grade software across GUIs, API layers, and system services by directing AI coding agents.
  • Code Auditing & Quality Verification: Critically evaluate and test AI-generated code to ensure correctness, security, performance, edge case handling, and clean architecture.
  • Rapid Prototyping & Delivery: Build, iterate, and deploy software at high velocity, leveraging AI assistants as a multi-developer force multiplier.
  • Workflow & Prompt Engineering: Experiment with emerging AI developer tools, context engineering (RAG/repository memory), and automated agent workflows.

Desirable Skill Set:

  • AI-First Engineering Mindset: Natural instinct to leverage AI assistants, agentic loops, and LLM workflows to solve technical problems.
  • Demonstrated Execution: Active experience building and shipping software using state-of-the-art AI developer tools.
  • Meticulous Technical Judgment: Sharp eye for spotting logic flaws, edge cases, security vulnerabilities, and performance bottlenecks in AI-generated code.
  • Relentless Curiosity: Eager to rapidly explore, learn, and adopt emerging AI models and software engineering tools as they evolve.

Personal Skills:

    Demonstrated Ability Required

    Applicants are evaluated based on proven hands-on execution with AI tools. Candidates must submit proof of demonstrated ability through one or more of the following

  • GitHub Codebase:
    Public repository of projects created using AI coding tools (Cursor, Copilot, Claude Code, LLMs), showcasing prompt engineering, project memory structure, or dev workflows.
  • Novel / Original Project:
    A working app or unique project built from scratch—demonstrating the ability to solve a real problem fast with AI assistance.
  • Live Demo / Walkthrough:
    A deployed live link, working application, or short screen-recording walkthrough detailing how you leveraged AI to design, write, test, and ship software.