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AI Software Engineer, IgniteTech; Remote

Remote / Online - Candidates ideally in
İç Anadolu Bölgesi, Turkey (Türkiye)
Listing for: Crossover
Remote/Work from Home position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 300000 TRY Yearly TRY 150000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: AI Software Engineer, Ignite Tech (Remote) - $200,000/year USD

AI Software Engineer, Ignite Tech (Remote) - $200,000/year USD

We are looking for an AI Software Engineer to lead the development of AI‑first solutions that automate marketing and community engagement workflows.

Marketing and community engagement operations are trapped in legacy workflows. Organizations continue to depend on oversized teams and aging tools to manually generate content, oversee discussions, and gather insights from fragmented user interactions. Even with AI's rapid advancement, deploying a simple automation typically requires weeks of effort, and most initiatives stall as perpetual "pilots" that never reach production. This creates a cycle of lost opportunities, exhausted personnel, and infrastructure unable to match the pace of contemporary business demands.

Ignite Tech is dismantling this paradigm. We replace manual processes with adaptive, AI‑first architectures that operate at ten times the scale and velocity. Picture a marketing system that generates and releases content aligned with live market trends, or a community infrastructure that consolidates, filters, and channels insights instantaneously—all built, launched, and refined by a compact group of AI‑fluent engineers working in 24‑hour cycles.

Our focus is not prototyping for its own sake; we deliver production tools that immediately redefine operational workflows.

This position is not designed for engineers seeking to refine backlog items within a conventional Dev Ops cycle. You will not receive detailed specifications to implement. Rather, you will assume full ownership of intelligent systems that automate and advance our client operations. Your mandate includes diagnosing operational friction, designing AI‑centric solutions, delivering minimum‑viable products within a single day, and evolving them into resilient production engines with measurable impact.

If your goal is a sandbox for GenAI experimentation, look elsewhere. But if your aim is to deploy GenAI as a strategic tool, this is the environment you need.

You will join a compact, high‑caliber team reengineering the operational blueprint of entire business functions with AI as the foundation. You will engage directly with stakeholders, operate at speed, and evaluate your contributions through tangible business outcomes. If this aligns with your professional aspirations, submit your application now!

What You Will Be Doing
  • Design and deliver functional AI prototypes within 24 hours that directly automate live business processes.
  • Take full ownership of AI solutions across their entire lifecycle—from conception through deployment and ongoing monitoring—without dependencies or friction.
  • Propel continuous automation throughout the organization by surfacing new opportunities and refining existing solutions to align with changing requirements and emerging capabilities.
AI Software Engineer

Key Responsibilities
  • Architect a fundamentally reimagined, AI‑driven ecosystem that converts manual marketing workflows and community platforms into intelligent systems generating 10x business value.
Basic Requirements
  • AI‑First Mindset (begin with AI rather than coding manually before leveraging AI tools).
  • Minimum of 5 years of full‑stack software engineering experience (proficiency in both front‑end and back‑end development is mandatory).
  • Hands‑on professional experience embedding AI/LLMs (through APIs, prompt engineering, or automation frameworks) into production applications.
  • Expertise with cloud platforms (AWS, GCP, or Azure) and the development of scalable, distributed architectures.
  • A clear grasp of how and why to select particular LLM models for varying use cases.
  • Proven understanding and practical application of the Model Context Protocol (MCP).
About Ignite Tech

World‑class talent. 100% global remote. Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re big believers in the remote‑work‑from‑anywhere lifestyle, which creates freedom for our team members and enables us to hire the best and brightest from around the world. A career with Ignite Tech is challenging and fast‑paced and we’re always looking for…

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