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. #LI-AT2