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Senior AI Engineer

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Department

Artificial Intelligence

Employment

Full-time

Location

Remote

Experience

5+ years experience

About the Role

DevDinos is seeking an experienced AI Engineer to lead the design, development, and deployment of intelligent, production-ready AI solutions.

In this role, you will work on integrating artificial intelligence into SaaS platforms, business applications, and custom software solutions. You will be responsible for transforming complex business problems into scalable AI-powered features using large language models (LLMs), machine learning, retrieval-augmented generation (RAG), and intelligent automation.

We are looking for an engineer with a strong software engineering foundation, hands-on production experience, and the ability to make sound architectural decisions across the AI development lifecycle.

Key Responsibilities

  • Design, develop, and deploy scalable AI-powered applications and intelligent automation systems.

  • Integrate large language models from providers such as OpenAI, Anthropic, and Google into existing products and new applications.

  • Develop retrieval-augmented generation (RAG) systems using embeddings, vector databases, and advanced retrieval techniques.

  • Build AI agents, tool-calling workflows, and structured automation pipelines.

  • Design and implement APIs and backend services to support AI-powered functionality.

  • Develop document understanding, information extraction, summarisation, and intelligent search solutions.

  • Evaluate model performance, response quality, latency, and operational costs.

  • Implement prompt engineering, structured outputs, model evaluations, and appropriate AI safety controls.

  • Establish monitoring, logging, error handling, and reliability practices for AI systems.

  • Collaborate with product designers, backend engineers, and other stakeholders to integrate AI capabilities into production applications.

  • Research and evaluate emerging AI technologies and recommend practical improvements.

  • Provide technical guidance and contribute to architectural decisions for AI initiatives.

Required Qualifications

  • At least 5 years of professional software engineering experience, including substantial hands-on work developing and deploying AI or machine learning solutions.

  • Strong proficiency in Python and experience developing production backend systems.

  • Practical experience integrating and working with large language models.

  • Strong understanding of prompt engineering, embeddings, vector search, and RAG architectures.

  • Experience building production applications using LLM APIs and AI frameworks.

  • Familiarity with frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent technologies.

  • Experience working with vector databases such as Pinecone, Weaviate, Qdrant, or PostgreSQL with pgvector.

  • Strong knowledge of RESTful APIs, asynchronous processing, and distributed application fundamentals.

  • Understanding of AI evaluation, hallucination mitigation, data privacy, and secure model integration.

  • Experience with Docker, cloud infrastructure, and production deployment workflows.

  • Strong problem-solving abilities, technical communication, and architectural decision-making skills.

Preferred Qualifications

  • Experience developing agentic AI systems and multi-step orchestration workflows.

  • Familiarity with PyTorch, Hugging Face, or model fine-tuning techniques.

  • Experience with multimodal AI, including document, image, or speech processing.

  • Knowledge of MLOps, model monitoring, and automated evaluation frameworks.

  • Experience optimising inference costs, model selection, caching, and token usage.

  • Familiarity with TypeScript, Node.js, or modern SaaS architectures.

  • Previous experience integrating AI into enterprise software or business automation systems.

What We Value

  • Strong engineering fundamentals and a production-first mindset.

  • The ability to distinguish practical AI applications from unnecessary complexity.

  • Ownership of technical decisions and implementation quality.

  • Clear communication and collaboration across technical and non-technical teams.

  • Curiosity, continuous learning, and responsible AI development.

Why Join DevDinos?

  • Develop AI capabilities for real-world software products and business applications.

  • Contribute to the architecture and implementation of intelligent software systems.

  • Work across modern AI technologies, from LLM integration to production deployment.

  • Help shape the technical direction of AI initiatives within DevDinos.

How to Apply

Submit your updated CV, GitHub profile, and links to relevant AI projects or production applications.

Please highlight your experience with LLM integrations, RAG systems, AI agents, or machine learning deployments.

We are particularly interested in understanding the technical challenges you have solved, the architecture you implemented, and your individual contributions.