AI Engineer — Python & Agentic AI

At InnoIT, we are looking for AI Engineers to help build practical, production-ready AI solutions for an international automotive organisation.

You will work alongside our architects, the client’s developers and business teams to turn business requirements into reliable AI-powered workflows. Initial use cases include supplier invoice enquiries and legal document review, with opportunities to contribute to additional business areas.

This is a software engineering and integration role with a strong applied AI component
, rather than a research or model-training position.

• Develop AI agents and workflows using
  Python, Google Gemini and Google’s Agent Development Kit (ADK).

• Integrate solutions with enterprise platforms such as
  Microsoft 365, SharePoint, Outlook and Big Query
  .

• Build reusable APIs, connectors and Python libraries that can support multiple use cases.

• Combine LLM capabilities with deterministic logic for document comparison, data validation and business rules.

• Implement human-in-the-loop workflows, ensuring that sensitive decisions remain with the appropriate business teams.

• Collaborate directly with business users to clarify requirements, demonstrate progress and incorporate feedback.

• Contribute to implementation plans, task estimates and weekly delivery milestones.

• Write automated tests and support integration testing, user acceptance testing and production deployment.

• Implement logging, error handling, auditability and safeguards for confidential information.

• Produce clear technical documentation and support handover to internal teams.

• Practical experience developing software in
  Python
  , with attention to maintainability, modularity and testing.

• Hands‑on experience building applications with
  LLMs
  , including tool calling, structured outputs or agent‑based workflows.

• Experience integrating
  REST APIs
  , handling authentication and troubleshooting third‑party services.

• Working knowledge of
  SQL
  and data validation.

• Familiarity with cloud environments, ideally
  Google Cloud Platform
  .

• Experience with Git, code reviews and automated testing.

• An understanding of how to make AI applications reliable, including output validation, evaluation and appropriate use of deterministic rules.

• The ability to take ownership of implementation tasks while communicating risks and asking for support when needed.

• Good communication skills in English for technical and business collaboration.

You do not need experience with every technology below:

• Google Gemini, ADK or Gemini Enterprise.

• Microsoft Graph, SharePoint Online, Outlook or Teams integrations.

• Big Query and batch-processing workflows.

• Document processing with
  DOCX, OOXML or XML
  , including document comparison and comments.

• Retrieval‑augmented generation (RAG) and knowledge‑base integrations.

• OAuth 2.0, application identities and least‑privilege permissions.

• CI/CD, deployment automation, monitoring and rollback procedures.

• Experience working with finance, legal or other enterprise business processes.

We are looking for someone who:

• Enjoys working closely with developers and business users—not in isolation.

• Takes a pragmatic approach: prototypes quickly, tests assumptions and strengthens validated solutions for production.

• Is curious, adaptable and comfortable learning unfamiliar tools.

• Uses AI-assisted development thoughtfully and verifies the results.

• Values reliable delivery and shared team success over unnecessary complexity.

You do not need to be an expert in every framework. Strong engineering fundamentals, motivation and a collaborative mindset are essential.

• Hands‑on work on real business problems, beyond standalone demos.

• Collaboration with…