Polar Frequency LLC-FZ
🏷️ Job Title: Senior AI LLM & Prompt Engineer (with Backend Experience)
Company: Polar Frequency LLC-FZ
💼 Job Type: Full-Time (Remote / Work from Home)
📍 Location: Nigeria (Open only to candidates based in Nigeria)
💰 Salary: Up to ₦600,000 monthly
📆 Work Schedule: Monday–Friday | 30–40 hours/week | Weekends Off | Flexible hours
🎁 Benefits: Remote flexibility, Paid overtime
🔥 Urgent Opening
🧾 Role Overview:
Polar Frequency LLC-FZ, a cutting-edge tech company specializing in AI-powered custom software, is hiring a Senior AI LLM & Prompt Engineer with strong backend development skills. In this pivotal role, you’ll design and deploy intelligent systems that leverage Large Language Models (LLMs) such as GPT, LLaMA, and PaLM, working remotely with a global team to deliver scalable, high-impact solutions for diverse clients.
✅ Key Responsibilities:
✨ AI & Prompt Engineering:
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Design and refine advanced prompts for LLMs to ensure high accuracy and performance.
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Collaborate on model evaluation, fine-tuning, and integration with production environments.
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Optimize AI workflows for real-world deployment, including performance monitoring and continuous improvement.
⚙️ Backend System Development:
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Build and maintain robust backend systems that power AI applications.
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Integrate APIs and microservices to support real-time communication with AI models.
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Ensure scalable, secure, and maintainable architecture using modern tools (Python, Node.js, etc.).
🤝 Team Collaboration & Documentation:
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Work with frontend developers, data scientists, and business teams to deliver complete AI-driven platforms.
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Document technical workflows, system architecture, and project decisions for knowledge sharing and future scaling.
🎓 Qualifications & Skills:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Hands-on experience building and deploying LLM-based systems (e.g., OpenAI GPT, Google PaLM, Meta LLaMA).
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Advanced backend development skills in Python, Node.js, or similar languages.
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Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployment (e.g., Docker, Kubernetes).
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Expertise in REST APIs, microservices, and databases (SQL or NoSQL).
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Strong problem-solving skills, excellent communication, and proven success working remotely.
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Self-driven with the ability to manage priorities in a fast-paced remote environment.
🌟 Ideal Candidate Profile:
You’re a hybrid AI engineer who thrives at the intersection of machine learning and scalable software systems. You understand the nuances of prompt design, know how to implement cutting-edge LLMs into functional backend pipelines, and are ready to innovate in a fully remote team. You’re hands-on, detail-oriented, and eager to drive product excellence.