Overview
Marketing and community engagement operations still depend on legacy processes. Most organizations employ large teams and aging platforms to manually produce content, oversee discussions, and pull insights from fragmented conversations. Even with AI technology widely available, implementing a simple automation typically requires weeks, often resulting in a "pilot" that never reaches production. The consequences include wasted opportunities, exhausted personnel, and technology infrastructure unable to match the pace of contemporary business demands.
IgniteTech is dismantling that framework. We replace manual workflows with self-optimizing, AI-driven systems that operate at 10x the scale and velocity. Consider a marketing platform that generates and publishes content in response to live trends, or a community system that consolidates, moderates, and channels insights within seconds—all built, launched, and refined by a compact team of AI-fluent engineers working in 24-hour cycles. We move beyond prototyping; we deliver production tools that immediately reshape operational workflows.
This position is not suited for someone seeking to manage Jira tickets within a conventional DevOps cycle. You will not receive a specification to implement. You will own the complete lifecycle of intelligent systems that automate and advance our client operations. You will surface bottlenecks, design AI-centric solutions, deliver MVPs in less than a day, and mature them into robust production systems with measurable impact. If your goal is a sandbox for GenAI experimentation, look elsewhere. But if you intend to deploy GenAI as a strategic tool, this is the right place.
You will join a small, highly skilled team reengineering the operational model of entire business functions with AI as the foundation. You will work directly with decision-makers, execute rapidly, and evaluate your contributions through tangible business outcomes. If that describes your ideal environment, submit your application today!
What You Will Be Doing
- Develop and deploy working AI prototypes in under 24 hours that instantly automate actual business processes
- Assume full ownership of AI solutions from conception through deployment and monitoring, operating independently without dependencies or delays
- Advance automation continuously throughout the organization by surfacing new use cases and refining existing solutions to align with changing requirements and emerging capabilities
- Create a fully reimagined, AI-enabled ecosystem that converts manual marketing workflows and community platforms into intelligent systems generating 10x business value
- AI-First Mindset (if you instinctively write code first and subsequently apply AI tools for validation or improvement, rather than leading with AI, please do not apply)
- A minimum of 5 years of full-stack software engineering experience (both front-end and back-end coding proficiency required)
- Hands-on experience embedding AI/LLMs (through APIs, prompt engineering, or automation workflows) into production applications
- Command of cloud platforms (AWS, GCP, or Azure) and experience designing scalable, distributed architectures
- Knowledge of when and why to select particular LLM models for distinct use cases
- Proven understanding and practical application of the Model Context Protocol (MCP)
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-IN-Hyderaba-TechnicalLead.003