Senior AI Backend Engineer

Hiire is supporting an international industry-leading client in the search for a Senior AI Software Engineer to join a team focused on building enterprise-grade AI solutions with direct impact on critical business operations and workflows.

This is an opportunity to work in a highly technical and multidisciplinary environment where AI software engineering and product thinking come together to create scalable solutions for real-world problems. We are looking for someone with a hands-on mindset strong production focus and experience turning AI prototypes into robust and reliable systems.

• Collaborate closely with engineering operations and business stakeholders to understand workflows identify pain points and design AI-driven solutions with measurable impact.

• Translate complex requirements into scalable AI-enabled services and technical concepts.

• Contribute directly to the design and architecture of systems powered by LLMs and retrieval technologies.

• Develop and maintain scalable production-grade AI services focused on:

  • LLMs

  • RAG pipelines

  • Hybrid retrieval

  • Semantic search

  • Vector search

  • Agentic workflows

• Build backend APIs data pipelines and integrations while ensuring reliability observability and engineering best practices.

• Own the full development lifecycle: architecture implementation testing deployment and monitoring.

• Design rigorous evaluation strategies for AI output quality retrieval accuracy and model behavior.

• Treat prompt engineering as an engineering and experimentation discipline.

• Ensure high standards for data quality and contextual grounding across AI systems.

• Mentor junior team members on AI engineering experimentation and evaluation practices.

• 5 years of experience in Software Engineering with strong exposure to AI NLP or Information Retrieval.

• Proven experience building and operating AI solutions in production and enterprise environments.

• Ability to bridge experimental Data Science workflows with reliable and maintainable software engineering practices.

• Strong proficiency in modern Python (3.11) including:

  • async/await

  • typing

  • Pydantic

• Experience with:

  • Docker

  • CI/CD

  • testing frameworks (pytest)

  • code quality tooling (ruff mypy)

  • Git workflows and code reviews

• Hands-on experience with:

  • LLMs

  • Prompt Engineering

  • RAG

  • GraphRAG

  • Vector databases / OpenSearch

  • AI evaluation pipelines

• Experience with AWS Bedrock or Azure OpenAI.

• Familiarity with MCP (Model Context Protocol) and modern AI interface standards.

If youre looking for an opportunity to work on applied AI in a serious scalable and impactful environment this could be a very exciting next step.