Job Summary
We are seeking a highly skilled Prompt Engineer (Remote) to design, develop, and implement advanced artificial intelligence systems across our business operations. The ideal candidate will have a strong background in AI engineering, backend development, and system architecture, with hands-on experience deploying production-ready AI solutions that drive efficiency, automation, and innovation.
Experience with workflow automation tools such as n8n is considered a major plus, as many of our internal AI systems rely on automated pipelines and integrations between multiple services.
This is a remote position and requires both strategic vision and technical execution, bridging the gap between business requirements and scalable AI technologies.
Key Responsibilities
- Design and implement end-to-end AI-driven solutions, from concept to deployment.
- Collaborate with stakeholders to identify business challenges and translate them into AI opportunities.
- Develop and integrate machine learning, NLP, and computer vision models into existing backend systems.
- Architect scalable data pipelines and APIs to support AI and analytics applications.
- Optimize model performance, scalability, and reliability for real-world production environments.
- Evaluate and integrate emerging AI frameworks, LLMs, and APIs (e.g., OpenAI, Vertex AI, Azure AI, Hugging Face).
- Lead experimentation and prototyping to validate new concepts before deployment.
- Ensure compliance with data privacy and security standards across all AI workflows.
- Mentor developers and analysts on AI implementation best practices.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 5+ years of experience in software engineering or backend development, with at least 2–3 years of AI/ML project experience.
- Strong proficiency in Python, Node.js, or Java, and experience with frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Expertise in API integration, database architecture (SQL/NoSQL), and cloud environments (AWS, GCP, or Azure).
- Familiarity with LLMs, prompt engineering, and retrieval-augmented generation (RAG) setups is a strong plus.
- Excellent problem-solving and communication skills with a strong focus on solution delivery.
Preferred Skills (Nice to Have)
- Experience with n8n or similar workflow automation platforms (e.g., Zapier, Make, Airflow).
- Experience with LangChain, OpenAI API, and vector databases (Pinecone, Weaviate, FAISS).
- Knowledge of data governance, MLOps, and model deployment pipelines.
- Prior experience integrating AI into business operations, analytics dashboards, or customer-facing applications.