Salary :
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Full-Stack Software Engineer, Applied AI in Nigeria.
We are seeking a versatile Senior Full-Stack Software Engineer to join a dynamic Applied AI team, developing cutting-edge AI-powered solutions. In this role, you will design, build, and deploy full-stack applications that leverage large language models (LLMs) to create transformative experiences. You will ship production-ready features, design experiments, and optimize AI infrastructure, all while collaborating with cross-functional teams. The ideal candidate is highly curious, enjoys rapid iteration, and thrives in a fast-paced environment where innovation meets execution. This role offers the opportunity to shape real-world AI applications, contribute to scalable systems, and make a tangible impact across products used by thousands of users.
Accountabilities:
- Develop full-stack AI applications, including front-end components (ReactJS) and back-end services (Ruby on Rails), shipping projects end-to-end.
- Design and execute experiments, such as A/B tests and AI evaluations, to validate features, measure impact, and guide iterative improvements.
- Build and maintain infrastructure for AI inference, ensuring performance, reliability, and scalability.
- Collaborate with product, design, and leadership teams to shape features and drive innovation.
- Continuously improve processes, tools, and systems to accelerate AI feature deployment.
- Stay current with emerging AI research, tools, and technologies, applying relevant advancements to production use cases.
- Maintain high standards of code quality, user experience, and operational reliability.
- 6+ years of experience as a full-stack engineer on high-traffic, production applications.
- Proficiency with Ruby on Rails, ReactJS, and relational databases (MySQL/PostgreSQL).
- Hands-on experience developing AI features in production (e.g., LLM-powered tools, RAG systems, AI agents).
- Strong experimentation mindset: designing, running, and iterating on tests to validate feature impact.
- Ability to work in a fast-paced environment with autonomy, personal accountability, and collaboration across teams.
- Comfortable learning new technologies quickly and navigating ambiguity.
- Strong alignment with organizational values.
- Proficient in English (CEFR Level C2 / ILR Level 5).
- Competitive salary: $130,000 – $140,000 USD per year, with annual review and equity options.
- Fully remote: work from anywhere in the world.
- High autonomy and trust in executing your work.
- Generous paid time off: 35 days annually, plus paid sabbatical after 5 years.
- Comprehensive medical coverage or reimbursement options.
- Parental leave and family support benefits.
- Home office and professional development stipends.
- Annual bonus potential.
- Twice-yearly fully paid company retreats in international locations.
Requirements:
Benefits:
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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