Overview
Most companies still operate marketing and community engagement functions using legacy methods. They depend on large teams and aging tools to manually produce content, oversee discussions, and mine insights from fragmented interactions. Even with the rise of AI, deploying a simple automation typically takes weeks, and most initiatives remain stuck in perpetual "pilot" mode. The outcome is wasted potential, exhausted staff, and infrastructure that struggles to match the pace of today's business demands.
IgniteTech is dismantling this outdated model. We replace manual processes with self-optimizing, AI-driven systems that operate at 10x the scale and speed. Picture a marketing infrastructure that generates and publishes content in response to live trends, or a community system that synthesizes, moderates, and channels insights within seconds—all designed, launched, and refined by a compact team of AI-fluent engineers working in 24-hour cycles. We don't stop at prototypes; we deliver production tools that immediately redefine operational workflows.
This position is not for someone interested in managing Jira backlogs within a DevOps treadmill. You will not receive predefined specifications to implement. Instead, you will assume full ownership of intelligent systems that automate and advance our client operations. You will surface bottlenecks, design AI-centric solutions, deploy MVPs in less than a day, and mature them into robust production engines with measurable impact. If your goal is a sandbox for GenAI experimentation, look elsewhere. But if you intend to use GenAI as a strategic tool, this is where you belong.
You will join a small, high-caliber team reconstructing the operational blueprint of entire business functions with AI as the foundation. You will work directly with decision-makers, execute rapidly, and evaluate your contributions by tangible business results. If this environment aligns with your ambitions, apply now!
What You Will Be Doing
- Design and deploy functional AI prototypes within 24 hours that instantly automate live business workflows
- Assume end-to-end ownership of AI solutions, spanning design, deployment, and monitoring, without dependencies or delays
- Sustain continuous automation throughout the organization by surfacing new opportunities and refining existing solutions to match shifting needs and emerging capabilities
- Construct a fully reimagined, AI-driven ecosystem that converts manual marketing operations and community platforms into intelligent systems delivering 10x business impact
- AI-First Mindset (if your default approach is to write code first and then apply AI tools for verification or enhancement, rather than leading with AI, please do not apply)
- A minimum of 5 years of full-stack software engineering experience (you must possess both front-end and back-end development expertise)
- Professional experience embedding AI/LLMs (through APIs, prompt engineering, or automation) into production applications
- Proficiency with cloud platforms (AWS, GCP, or Azure) and constructing scalable, distributed architectures
- Understanding of when and why to select specific LLM models for distinct use cases
- Demonstrated knowledge and prior implementation 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-Bengalur-TechnicalLead.006