Senior AI Integration Engineer

Job Summary
We’re seeking a Senior AI Integration Engineer with full-stack expertise and hands-on experience developing real-world AI systems. The ideal candidate can architect, code, and deploy advanced AI solutions that power automation, analytics, and data-driven applications. This role offers the opportunity to lead technical innovation, work with modern frameworks, and help shape the foundation for next-generation AI-powered products.

About the Role
We’re looking for a Senior AI Integration Engineer with strong full-stack experience and a passion for building and deploying real-world AI-powered systems. This role is ideal for an engineer who thrives at the intersection of AI architecture, backend logic, and automation — someone who can take ideas from concept to production. You’ll help define how AI is embedded across modern platforms and services, driving innovation and building the foundation for future AI-driven products. You’ll work closely with our technical leads, collaborate with developers, and play a key role in integrating advanced AI capabilities across multiple systems.

Key Responsibilities

• Design and implement AI-driven features and automations within enterprise-grade applications.
• Build and maintain data pipelines and event-driven workflows for model training, inference, and feedback.
• Integrate LLMs, vector databases, and AI orchestration frameworks into existing environments.
• Develop and deploy AI agents for process automation, knowledge retrieval, and analytics summarization.
• Collaborate with development leads to ensure performance, scalability, and data privacy.
• Document and maintain clear integration processes and architecture guidelines.
• Provide mentorship on AI/ML best practices to other engineers.
• Continuously identify opportunities to improve existing systems using AI-driven enhancements.

Required Technical Skills

• Strong programming background in Python, Node.js, or PHP (Laravel experience preferred).
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face.
• Proven experience integrating LLMs (OpenAI, Anthropic, Meta Llama 3, or fine-tuned custom models).
• Practical experience with vector databases (Pinecone, Weaviate, Chroma, FAISS).
• Familiarity with frontend frameworks such as Vue.js, Nuxt.js, or React/Next.js.
• Strong understanding of API design, microservices, and event-driven architecture.
• Knowledge of data engineering principles (ETL, preprocessing, data labeling).
• Experience building RAG (Retrieval-Augmented Generation) systems and automation workflows.

Soft Skills

• Strong leadership through action — hands-on and collaborative.
• Excellent documentation and communication skills.
• Strategic thinker with strong problem-solving abilities.
• Adaptable and motivated by fast-paced innovation.
• Passion for building high-impact systems that scale.

What We Offer

• Full-time, long-term opportunity with room for advancement as AI initiatives expand.
• A dynamic environment focused on innovation, creativity, and impact.
• The chance to shape the AI foundation for new and existing digital products.

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