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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