AI Engineer

Who we are:

Open-minded intellectuals who embrace emerging technologies on our mission to create innovative Software Engineering Solutions that will impact millions of users around the world.

We are looking for:

We are looking for an AI Engineer to build the platform that reconstructs and validates software specifications from an existing system’s own assets — its source code, its existing documentation, and its existing test cases.

What you will do:

• Build the Analysis Pipeline
• Implement the agents and stages that map components, analyse them in depth, and draft specifications from source evidence.
• Decompose complex analysis into focused sub-tasks with clear inputs, outputs, and verification expectations, following the agreed architecture.
• Implement the verification pass that checks each claim back against its source.
• Cross-Validation & Reconciliation
• Build the logic that reconstructs understanding independently from source code, existing documentation, and existing test cases.
• Implement comparison and reconciliation that flags inconsistencies, missing coverage, stale information, and likely defects.
• Apply the explicit rules that allow only low-risk, evidence-backed discrepancies to be resolved automatically, escalating the rest for human review.
• Faithfulness, Traceability & Quality Outputs
• Implement and uphold the first-class outputs: claim-to-source traceability, confidence marking, gap register, discrepancy register, open decision list, and adjudication status.
• Ensure the system distinguishes implementation facts from inferred behavior, and marks unsupported assumptions instead of promoting them to fact.
• Make sure gaps are recorded openly and never silently filled.
• Evaluation, Testing & Reliability
• Write tests and contribute to evaluation harnesses that measure extraction accuracy, faithfulness, and run-to-run consistency.
• Debug pipeline failures and reconciliation edge cases, and improve the signal-to-noise ratio of what reaches the SME.
• Implement the concise, high-value review packages SMEs adjudicate, keeping the human gate mandatory before completion.
• Work closely with the Technical Lead and, where relevant, with SMEs to validate that outputs are faithful and reviewable.
• Raise design concerns and propose improvements within the direction set by the Technical Lead.

What you need to have:

• Solid software engineering fundamentals: clean, testable code and disciplined debugging.
• Practical experience building AI- or NLP-powered features — information extraction, document analysis, agent behavior, or similar — beyond simple prompt-and-response usage.
• Ability to read and understand existing codebases and reason about components, dependencies, interfaces, and behavior.
• Comfort with prompt and agent design, and with evaluating and improving the quality of generated outputs.
• Attention to evidence and provenance: a habit of tracing claims to sources and marking uncertainty rather than guessing.
• Ability to work effectively under technical direction and within defined quality gates.
• Clear written communication for technical notes, test results, and decisions.
• A reliable, detail-oriented ownership mindset over the components you build.

What's in it for you:

• Extended compensation and benefits package.
• Continuous learning opportunities to enhance your professional and soft skills.
• A great working environment with people who put their heart, mind, and soul into everything they do and understand the importance of team spirit.

We really welcome open-minded and committed people:

• Eager to take on new challenges and learn new things.
• Who put their heart, mind, and soul into everything they do.
• Who enjoy sharing knowledge and understand the importance of teams.

Only eligible candidates will be contacted to move forward in the recruitment process.

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