Senior AI Engineer

Crossover • Pakistan
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Deliver operational AI prototypes within 24 hours, assume full ownership of AI solutions, and propel ongoing automation initiatives.

Key Highlights
Deliver operational AI prototypes within 24 hours
Assume full ownership of AI solutions
Propel ongoing automation initiatives
Technical Skills Required
AI Machine Learning Generative AI Model Context Protocol (MCP) AWS GCP Azure Cloud infrastructure platforms Scalable, distributed systems LLMs APIs Prompt engineering Automation workflows
Benefits & Perks
100000
Remote work
Weekly payment

Job Description


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.

IgniteTech 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)

About IgniteTech

World-class talent. 100% global remote.

Ready to be a part of the top talent that IgniteTech has curated from thousands of applicants throughout the world? Come join us.

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 IgniteTech is challenging and fast-paced and we’re always looking for energetic and enthusiastic team members.

We’re an Affirmative Action and Equal Opportunity employer and we value the strength that diversity brings to our workplace.


There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!

Working with us

This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $100 USD/hour, which equates to $200,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.

Crossover Job Code: LJ-5591-PK-COUNTRY-SeniorAIEngine.002


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