AI Engineer

AI Engineer

This is a hands-on engineering role requiring solid backend experience, deep curiosity about AI, and the ability to translate cutting-edge research into scalable, real-world solutions.

Key Responsibilities

• Design and build

  AI-powered microservices and APIs

  using Python and .NET 9+.
• Architect and implement

  MCP servers

  and AI integration frameworks for multi-model orchestration.
• Collaborate with data scientists to

  train, evaluate, and deploy

  machine learning and LLM-based models into production environments.
• Build

  backend systems and RESTful APIs

  for AI-driven applications and integrations with internal and external systems.
• Develop and maintain pipelines for

  model versioning, testing, and CI/CD automation

  .
• Ensure security, scalability, and observability of deployed AI systems in

  Azure

  or multi-cloud environments.
• Work with

  vector databases

  ,

  embeddings

  , and

  retrieval-augmented generation (RAG)

  setups.
• Integrate

  third-party AI APIs

  (e.g., OpenAI, Anthropic, Azure AI) while optimizing cost and performance.
• Stay ahead of the curve on AI trends (LLMs, multimodal models, MCP, LangChain, semantic caching, agent frameworks).
• Document architecture and contribute to internal AI best practices and engineering standards.

Required Qualifications & Skills

• Education:

  Bachelor’s or Master’s degree in

  Computer Science, Mathematics, or Physics

  (or equivalent experience).

Experience:

• 4–7 years of experience as a

  backend engineer

  , ideally with exposure to AI or data-intensive systems.
• Strong background in

  API development, integration, and distributed systems

  .
• Proven hands-on experience with

  Python

  and

  .NET 9 or higher

  .
• Knowledge of

  Golang

  is a plus.

• AI/ML Skills:

• Understanding of

  LLM architectures

  , embeddings, and prompt-engineering workflows.
• Experience deploying or integrating

  AI models

  into production applications.
• Familiarity with

  machine learning pipelines

  and libraries (e.g., PyTorch, TensorFlow, Scikit-learn).

• MCP Expertise:

• Experience in building and managing

  Model Context Protocol (MCP) servers

  , ensuring interoperability between AI models and backend systems.

• Cloud & DevOps:

• Hands-on experience with

  Azure services

  , Docker/Kubernetes, and CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).

• Collaboration:

• Strong communication and teamwork skills; ability to partner with data scientists, backend developers, and product stakeholders.

• Mindset:

• Avid learner who actively follows the latest developments in

  AI frameworks, open-source models, and developer tools

  .

Nice to Have

• Experience with

  LangChain

  ,

  LlamaIndex

  , or

  agentic orchestration frameworks

  .
• Familiarity with

  vector databases

  (Pinecone, Milvus, Redis Vector).
• Experience integrating

  observability tools

  for model monitoring and feedback loops.
• Prior experience in the

  hospitality, travel, or fintech

  industry.
• Exposure to

  event-driven architectures

  (Kafka, RabbitMQ, Service Bus).

Why Join IOL

At IOL, you’ll work on transformative technology shaping the future of hospitality and travel. You’ll have the freedom to experiment with cutting-edge AI tools, the support of world-class engineers, and the opportunity to bring intelligent systems into a real, large-scale production environment.

Join us to shape the future of AI-driven travel technology.