Descripción de la oferta
You will transform operational knowledge, existing software, and business requirements into a reliable, testable solution that integrates AI capabilities with established systems. Working at the intersection of AI engineering, software architecture, and operational delivery, you will own the technical approach from discovery through implementation and evaluation. The role emphasizes hands‑on technical leadership, human oversight, traceable decisions, and evidence-based delivery rather than architecture advice alone. This remote contract opportunity offers the chance to solve complex real‑world problems while shaping an AI-enabled platform for enterprise operations.
Build and review essential components, guide engineers, and demonstrate an end‑to‑end workflow in the client's test environment, from receiving a request and retrieving operational data to generating recommendations, obtaining human approval, and completing system handoffs.
Confirm that components work together rather than relying solely on documentation or isolated tests.
Separate operational facts, business policies, and software logic. Enable versioned updates, historical replay, traceable approvals, and rollback without requiring a software release. Own engineering quality and evaluation: Review and test code, including AI-generated code, against the agreed architecture. Establish automated CI checks, integration tests, representative operational scenarios, and production monitoring.
Track the exact application, rule, and data versions used during evaluations. Implement decision logs, access controls, failure recovery, and appropriate observability.
Define readiness and performance measures: Agree on workflow quality, latency, operating costs, and test‑readiness criteria with the client and engineering team. Maintain concise architecture documentation and decision records. Support realistic delivery planning: You are a hands‑on technical leader who can combine strong software engineering skills with sound judgment about AI‑enabled workflows and enterprise integrations. Demonstrated experience taking an applied AI or LLM‑enabled workflow beyond the prototype stage and into operational use.
Strong hands‑on software engineering, solution architecture, API integration, and code‑review capabilities.
Practical experience with evaluation datasets, regression testing, continuous integration, and production observability.
Ability to establish automated quality checks and evaluate systems using representative operational scenarios.
Realistic estimation and planning skills, based on verified dependencies, available engineering capacity, and explicit assumptions.
Willingness to remain involved throughout discovery, implementation, testing, and evaluation, taking ownership of technical quality and delivery readiness.
Experience deploying AI solutions on AWS.
Remote contract opportunity, with the role available in Spain and other specified European countries.
Scope to influence technical architecture, engineering standards, evaluation practices, and maintainable AI‑enabled workflows.
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