AI-Native Full-Stack Developer

Zohorecruit; United States; Remote; USD 16,000 - 29,000; Full time

Job summary

Spektra Systems LLC is seeking an experienced professional to own AI-assisted feature delivery across UI/API/DB layers. You translate requirements into agent-ready specs, supervise AI agents during development, and own the production results. You ensure correctness, security, and performance through reviews and tests.

You will deploy via CI/CD to Azure, monitor logs, and write clear documentation. Remote work from India with possible future onsite transition is offered.

Qualifications

• 2+ years building web applications end to end.
• Hands-on with at least one agentic coding tool in a real codebase.
• Ability to read and judge code fluently in C#/TypeScript/JavaScript stacks.
• Experience with CI pipelines and code reviews.
• Comfort converting product requirements into agent-ready specs.
• Familiarity with security, auth, and tenant isolation concepts.

Responsibilities

• Break requirements into agent-ready specs with clear acceptance criteria.
• Drive AI coding agents to implement features across chosen stacks.
• Turn product requirements into specs and manage agent-produced code in production.
• Review agent diffs for correctness, edge cases, security, and performance.
• Ensure test coverage with unit, integration, and Playwright end-to-end tests.
• Update agent docs and templates to prevent repeated mistakes.
• Deploy via CI/CD to QA/production and monitor post-release logs.
• Write concise PR descriptions, release notes and runbooks.

Skills

C# / ASP.NET Core

Angular

React / Next.js

TypeScript

Python

Git / CI pipelines

Azure DevOps / GitHub Actions

Playwright testing

AI coding tools

SQL Server

Tools

Azure OpenAI

Claude / Codex / Copilot

Job description

Spektra Systems LLC | Experienced professionals

Location: Remote across India; may transition to onsite in the future

Experience: 2+ years building web applications end to end, with 6+ months shipping production features mainly through AI coding agents

The role. You ship complete features across the CloudLabs core and modules (UI, API, database, tests, deployment) by directing AI coding agents. You turn a product requirement into an agent-ready spec, run the agents, verify what they produce, and own it in production. You don't write implementation code by hand; you are accountable for every line the agents write.

What you'll do

• Break product requirements into small, agent-ready specs with clear acceptance criteria and test cases.
  
• Drive AI coding agents (Claude Code, Codex, Cursor, Copilot agents) to implement features across (one or more tech stack, not all):
  
• .NET / ASP.NET Core APIs and SQL Server stored procedures in the core; OR
  
• Next.js/React front ends, TypeScript APIs and Python services in modules.
  
• Run several agent sessions in parallel on separate branches or worktrees, and keep them from stepping on each other.
  
• Review every agent diff before it merges: correctness, edge cases, security (auth checks, tenant isolation, input validation, secrets), performance and readability. Send it back with precise feedback until it is right.
  
• Make agents prove their work: unit, integration and end-to-end tests (Playwright) that actually fail when the feature is broken.
  
• Improve the agents' context as you go: update AGENTS.md , skills and templates when an agent repeats a mistake.
  
• Deploy through CI/CD to QA and production on Azure; watch logs and metrics after release; debug and fix production issues, again by directing agents.
  
• Write short, clear PR descriptions, release notes and runbooks.
  

Requirements

Must have

• Working knowledge of one or both of our tech stacks, enough to read and judge code fluently:
  
• C# / ASP.NET Core and Angular (TypeScript, RxJS);
  
• React / Next.js and Node or Python back ends.
  
• Hands-on, daily experience with at least one agentic coding tool in a real codebase.
  
• Code review judgement: you can explain why an agent's plausible-looking change is wrong.
  
• Git, pull requests, CI pipelines (GitHub Actions or Azure DevOps) and debugging with logs.
  
• Comfortable working from written specs and writing them for others (human or agent).
  

Nice to have

• PostgreSQL and row-level security; Drizzle or Entity Framework.
  
• Built with LLM APIs (Azure OpenAI, Anthropic): tool calling, RAG, evaluations.
  
• Wrote MCP servers, Claude Code skills/hooks/subagents, or similar agent tooling.
  
• Infrastructure as code (Bicep, Terraform).