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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong brand, metro location, and mid-level AI/full-stack role drive high competition.
AI and full-stack skills are transferable, but agentic/LLM expertise favors AI-specialist backgrounds.
Explicit 3–6 years plus many mandatory AI, full-stack, cloud, and LLM skills make shortlisting strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy agentic AI solutions including autonomous agents and large language model-enabled applications.
Develop full-stack applications using modern frontend frameworks (Angular v14+, React v18+) and backend technologies (.Net, Java, Python, Node.js).
Translate business requirements into scalable APIs, pipelines, and enterprise integrations; support production performance and process improvements.
Minimum Requirements
3-6 years experience in AI, machine learning, software engineering, or full-stack development.
Hands-on experience with AI coding assistants (e.g., GitHub Copilot, Claude Code) and prompt engineering techniques (zero-shot, few-shot, chain-of-thought).
Strong skills in frontend frameworks (Angular v14+ or React v18+) with TypeScript/JavaScript and backend development using Java (11+) with Spring Boot/MVC, Python, or Node.js.
Bachelor's degree in Engineering, Technology, Computer Science, or equivalent.
Ideal Candidate Profile
Experienced in designing and deploying generative AI and autonomous systems from use case definition through production.
Proficient in evaluating AI-generated code for security, correctness, maintainability, and enterprise standards.
Familiar with cloud platforms, microservices, continuous integration/deployment, and modern data technologies (PostgreSQL, MongoDB, Redis, etc.).