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Senior AI Engineer, IgniteTech; Remote

Remote / Online - Candidates ideally in
İç Anadolu Bölgesi, Turkey (Türkiye)
Listing for: Crossover
Remote/Work from Home position
Listed on 2026-01-04
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 300000 - 400000 TRY Yearly TRY 300000.00 400000.00 YEAR
Job Description & How to Apply Below
Position: Senior AI Engineer, Ignite Tech (Remote) - $200,000/year USD

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

Posted 1 day ago. Be among the first 25 applicants.

Get AI-powered advice on this job and more exclusive features.

This range is provided by Crossover. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/hr - $100.00/hr

Marketing and community operations remain anchored to legacy processes. Organizations continue to depend on oversized teams and obsolete platforms to manually produce content, manage community interactions, and derive value from fragmented engagement data. Even with advanced AI tools now available, implementing basic automation typically requires weeks of effort, frequently resulting in proof‑of‑concept projects that never reach production. This creates a pattern of lost opportunities, exhausted personnel, and technical infrastructure unable to match the pace of contemporary business demands.

Ignite Tech is dismantling this framework entirely. We replace manual workflows with adaptive, AI‑native architectures that operate at ten times the scale and velocity. Picture a marketing system that generates and distributes content responsive to live market signals, or a community infrastructure that synthesizes, governs, and channels insights within seconds—all built, launched, and refined by a compact team of AI engineering experts executing in 24‑hour cycles.

Our focus extends beyond prototyping; we deliver production systems that immediately redefine operational execution.

This position is not designed for candidates seeking incremental improvements within conventional development pipelines. You will not receive prescriptive specifications for implementation. You will instead take complete ownership of intelligent systems that automate and advance client operations. Your mandate includes surfacing operational friction, designing AI‑centric architectures, delivering minimum viable products in under one day, and evolving them into hardened production engines with measurable business impact.

If your objective is exploratory work with Generative AI, this opportunity is not aligned. If your goal is to deploy GenAI as a strategic tool for transformation, you will find the environment you seek here.

You will become part of a compact, highly skilled team reconstructing the operational blueprint of entire business domains with AI as the foundation. You will engage directly with leadership, operate at high velocity, and evaluate success through tangible business outcomes. If this describes your ideal working context, we encourage you to apply immediately.

What You Will Be Doing
  • Deliver operational AI prototypes within 24 hours that immediately automate authentic business processes.
  • Assume full ownership of AI solutions across the complete lifecycle—from architecture through deployment and monitoring—operating independently without dependencies or delays.
  • Propel ongoing automation initiatives throughout the organization by surfacing new automation candidates and refining existing solutions to align with changing business requirements and emerging AI capabilities.
Senior AI Engineer

Key Responsibilities
  • Construct a fundamentally redesigned, AI‑driven ecosystem that converts manual marketing workflows and community platforms into intelligent operational engines generating 10x measurable business value.
Basic Requirements
  • AI‑First Mindset (candidates whose default approach is to write code manually before using AI tools for validation or enhancement, rather than leading with AI, should not apply).
  • A minimum of 5 years of full‑stack software engineering experience (comprehensive front‑end and back‑end development expertise is mandatory).
  • Proven professional experience integrating AI/LLMs into production applications (through APIs, prompt engineering, or automation workflows).
  • Proficiency working with cloud infrastructure platforms (AWS, GCP, or Azure) and architecting scalable, distributed systems.
  • Working knowledge of when and why specific LLM models are appropriate for distinct use cases.
  • Demonstrable understanding and practical application of the Model Context Protocol (MCP).
Abou…
Position Requirements
10+ Years work experience
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