This Entry Level AI Engineer role focuses on building, testing, and maintaining AI capabilities used across Evolve, Caava Group's insurance management platform. The Engineer will use Python to prepare data, integrate approved model and LLM APIs with Evolve services, and evaluate whether AI features behave reliably for their intended use. Day-to-day work covers AI component building, model integration, evaluation, and monitoring support in a hybrid setup based in Lagos.

• Job Location: Lagos, Lagos (Hybrid)
• Employment Type: Full-time
• Salary: Not stated

The hiring company hasn't published detailed background information for this listing. This role was sourced from details made publicly available at the time of posting. Applicants should check the official job page for the latest company information.

Build AI components and prepare data

• Implement clearly scoped Python components, scripts and integrations to agreed designs, exposed to Evolve services through agreed APIs
• Add input validation, error handling and tests with guidance
• Prepare and validate approved datasets for development and evaluation, checking formats, missing values and labelling quality
• Document transformations and limitations

Integrate models and evaluate outputs

• Integrate model or LLM APIs into Evolve workflows
• Support prompt configuration, structured outputs and response validation using approved tools and data
• Create and run repeatable evaluation cases covering typical, edge and failure scenarios
• Compare outputs against agreed criteria and document errors, limitations and regressions

Investigate failures and handle data safely

• Help investigate unreliable outputs and integration failures
• Record findings and escalate quality, safety or data concerns to experienced engineers
• Apply approved privacy and security practices, keeping personal data, credentials and confidential information out of unapproved prompts, datasets, logs and external services

Support monitoring and engineering practice

• Support deployment and monitoring under guidance
• Check API failures, response time, usage and cost, and help implement agreed fallback or human-review steps
• Use Git, tests and code reviews to keep code readable
• Document APIs and evaluation results, apply feedback and communicate progress and blockers early

• A degree in Computer Science, Software Engineering, Data Science or a related field, or equivalent practical training supported by relevant projects
• Foundational Python skills shown through coursework, an internship or a working project
• Basic understanding of machine learning concepts, evaluation metrics and the limits of model outputs, including inaccurate or unsupported responses
• Familiarity with REST APIs, HTTP and JSON, Git, automated tests and debugging in an existing codebase
• Ability to work with structured data, use documentation and explain the approach and results of a technical task
• Attention to detail and sound judgement about handling data
• Clear communication and a willingness to seek and apply feedback
• Exposure to FastAPI or Flask, and Python data tools such as pandas or NumPy is nice to have
• A project using a model API, LLM, scikit-learn, PyTorch or TensorFlow is nice to have
• Familiarity with SQL, Docker, Java/Spring Boot, cloud concepts or CI workflows, and interest in practical insurance uses of AI is nice to have

How to Apply
Interested candidates should Apply here.
See more Entry-Level Tech roles at Caava Group here.

Why This Job Might Be a Good Fit
This role suits a junior AI or data science graduate with project experience who wants practical implementation and evaluation work on real AI features rather than research. Because the position covers LLM integration, evaluation, and safe data handling, it builds in-demand AI engineering skills that transfer across insurtech, fintech, and AI product teams.

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